INFORMS/CORS Montreal 1998 Cluster:
Omega Rho Distinguished Lecture: Beyond the Physics of Queueing
Session: MO05
Date/Time: Monday 11:00-12:00
Type: Invited
Sponsor:
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Room: Grand Salon
Chair: Paul H. Mireault
Chair Address: =Hcole des HEC, Dept. of IT, 3000 ch. C=ote-Ste-Catherine, Montr=fal, Qu=fbec, H3T 2A7 , Canada
Chair E-mail: paul.mireault@hec.ca
- MO05.1
Omega Rho Distinguished Lecture: Beyond the Physics of Queueing Richard C. Larson --- MIT, 77 Massachusetts Ave., Cambridge, MA 02139 , ()
- Ever since a 1950's consultant with an OR bent placed mirrors next to elevators in high rises, the physics of queues has coped with a formidable opponent: the psychology of queueing. One person's 30 minute wait can be worth an admission ticket while another's can create anger and even violence. We reflect on these issues with a view toward practice, utilizing freely many examples from the everyday world...
Welcoming Session & Awards
Session: MW05
Date/Time: Monday 09:45-10:45
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Transportation Science in Chile
Session: MA01
Date/Time: Monday 08:00-09:30
Type: Sponsored
Sponsor: TSS & IFORS
Track:
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Room: St. Laurent
Chair: Andres F. Weintraub
Chair Address: Univ. of Chile, Dept. of IE, PO Box 2777, Republica 701, Santiago, , Chile
Chair E-mail: aweintra@dii.uchile.cl
- MA01.1
Comparison of Different Interurban Freight Transportation Model Formulationa Jose Enrique Fernandez, Joaquin De Cea --- Univ. Catolica de Chile, Dept. of Trans. Eng., PO Box 306, Santiago, , Chile (jef@ing.puc.cl)
- Different formulations and solution algorithms are proposed for modeling interuban freight transportation systems. They are based on a simultaneous equilibrium approach on networks. the models are then empirically evaluated using data from the south macro-region in Chile. Comparisons are made on the basis of computational performance and quality of results.
- MA01.3
Equilibrium & Social Optimum Formulations for Public Transportation Users Roberto Cominetti, Jose Rafael Correa, Jorge R. Vera --- Univ. of Chile, Dept. of Math Eng., Beaucheff 850, Santiago, , Chile (rcominet@dim.uchile.cl)
- We discuss formulations for the equilibrium problem of users of public transportation. We consider alternative representations of congestion effects on the system, as well as different concepts of equilibrium and social optimum. We also address some entensions like transfer fares. Problems on the computation of these equilibrium are also discussed.
- MA01.4
An Emergency Vehicle Dispatching System for Electric Utility Andres F. Weintraub, Julio Aboud, Claudio Fernandez, Gilbert Laporte, Enrique Ramirez --- Univ. of Chile, Dept. of IE, PO Box 2777, Republica 701, Santiago, , Chile (aweintra@dii.uchile.cl)
- Chilectra, Santiago's Electric Utility Company uses an emergency services to handle failures in the system. We show a computational system to support vehicle dispatching decisions based on a heuristic routing algorithm and exponential smoothing forecasting to predict future failures. Computational experiences are significantly better than presently used manual approaches
Modeling in Airline Industry
Session: MA02
Date/Time: Monday 08:00-09:30
Type: Sponsored
Sponsor: TSS
Track:
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Room: Bersimis
Chair: Andrew I. Vakhutinsky
Chair Address: United Airlines, R&D WHQKB, PO Box 66100, Chicago, IL 60666-0100,
Chair E-mail: avakhutinsky@ual.com
- MA02.1
Flight Resequencing to Reduce Delays Debra J. Hoitomt, Larry Stone --- United Airlines, Inc., World Headquarters WHQKB, PO Box 66100, Chicago, IL 60666 , (dhoitomt@ual.com)
- A ground delay program, GDP, is a mechanism for slowing the rate of arrivals into a weather-affected airport. A GDP can wreak havoc for crews and passengers who fly through the airport to some other destination. We describe an algorithm to re-sequence flights, considering passenger connections and crew legalities.
- MA02.2
Building Schedule Reliability with Airline Simulation Steven Morley, Nirup Krishnamurthy, Srigopal Ramalingam --- United Airlines, R&D WHQKB, PO Box 66100, Chicago, IL 60666-0100, (smorley@ual.com)
- This study focuses on improving the schedule reliability of a developing airline schedule. The simulation answers the questions: What will be the on-time performance if a given schedule is flown? Which flights will have problems departing on time? What is the minimum recommended ground time for each turn?
- MA02.3
Domestic Maintenance Flow at United Airlines Raj A. Sivakumar, Ram Narasimhan --- United Airlines, Inc., R&D WHQKB, PO Box 66100, Chicago, IL 60666 , ()
- Ensuring that aircraft flows are maintenance feasible is an import aspect of schedule development. We discuss the problem formulation, solution methodology and implementation experience of the domestic maintenance flow model at United Airlines.
- MA02.4
AMPOWER: Advanced Manpower Planning System Patrice O. Yapo, Eric Gelman, Arvind Narayanan, Amir Thobani --- United Airlines, R&D WHQKB, PO Box 66100, Chicago, IL 60666-0100, (pyapo@ual.com)
- We present a new manpower planning system developed at United Airlines. AMPOWER is composed of two modules: the Forecasting Models module which provides forecasts of various absenteeism factors that result in additional manpower need and the Manpower Optimization Model which distributes vacation, training, and new-hire needs over the planning horizon.
- MA02.5
Free Flight Planning: What is Important? Andrew I. Vakhutinsky, Baoxing Tang, Zaili Zhang --- United Airlines, R&D WHQKB, PO Box 66100, Chicago, IL 60666-0100, (avakhutinsky@ual.com)
- Implementation of the free flight concept is expected to provide substantial benefits to the airline industry. We describe our results of the quantitative comparison performed for different flight planning and air traffic control models. Using these results we propose the most efficient ways to reduce fuel consumption and flight time.
VRP
Session: MA03
Date/Time: Monday 08:00-09:30
Type: Sponsored
Sponsor: TSS
Track:
Cluster:
Room: Gatineau
Chair: Sam R. Thangiah
Chair Address: Slippery Rock Univ., AI & Robotics Lab., Comp. Sci. Dept., Slippery Rock, PA 16057 ,
Chair E-mail: sam.thangiah@sru.edu
- MA03.1
A Multi-Commodity Formulation for the Symmetric Capacitated Vehicle Routing Problem Matteo Fischetti, Juan Jose S. Gonzalez, Paolo Toth --- Univ. di Udine, Dept. di Matematica & Info., Via delle Scienze 206, Udine, 33100 , Italy (fisch@dei.unipd.it)
- We propose a B&C algorithm, based on a multi-commodity formulation, for the CVRPin undirected graphs. This formulation allows us to consider all the known constraints from the previous 'classic' models, and to introduce additional inequalities. Computational experiments comparing our approach with the most effective algorithms from the literature are reported.
- MA03.2
Implementation & Computational Results of a Branch & Cut Algorithm for the Vehicle Routing Problem with Time Windows George Kontoravdis, Jonathan F. Bard, Gang Yu --- , PO Box 8507, Austin, TX 78713-8507, (condor@acm.org)
- We outline a B&C algorithm for minimizing the number of vehicles for the VRP with Time Windows. Valid inequalities along with computational results for standard literature data sets will be presented.
- MA03.3
The Purchasing/Routing Problem with Preloading Options R. Russell --- Univ. of Tulsa, 600 S. College, Dept. of Quant. Methods & MIS, Tulsa, OK 74104 , (russellra@centum.utulsa.edu)
- We address the purchasing/routing problem which involves an alternating sequence of full pickups and deliveries. The preloading option introduces dependencies between vehicle shifts. We discuss heuristic strategies and present computational results for propane gas distribution.
- MA03.4
A Genetic Heuristic for the Team Orieentering Problem Sam R. Thangiah --- Slippery Rock Univ., AI & Robotics Lab., Comp. Sci. Dept., Slippery Rock, PA 16057 , (sam.thangiah@sru.edu)
- The team orientering problem involves the routing of vehicles such taht the vehicle visits a set of customers, where each customer has a demand and a score associated with it, while not exceeding the capacity of the vehicle. The objective is to visit a set of customers that maximizes the score. We introduce a genetic heuristic for solving this problem.
Supply Chain Management
Session: MA04
Date/Time: Monday 08:00-09:30
Type: Contributed
Sponsor:
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Room: Harricana
Chair: Pankaj Chandra
Chair Address: Indian Inst. of Mgmt., Vastrapur, Ahmedabad, 380015 , India
Chair E-mail: chandra@iimahd.ernet.in
- MA04.1
Strategic Supply Chain Relations: The Impact of Technological Spillovers & Research Joint Ventures Sudheer Gupta, Richard J. Loulou --- McGill Univ., Fac. of Mgmt., 1001 Sherbrooke St. W, Montreal, Quebec, H3A 1G5 , Canada (gupta@management.mcgill.ca)
- MA04.2
Allocation Strategies & Performance of Supply Chains Pankaj Chandra, Devanath Tirupati --- Indian Inst. of Mgmt., Vastrapur, Ahmedabad, 380015 , India (chandra@iimahd.ernet.in)
- We study how firms make allocations decisions under scarce supply conditions and evaluate their impact on performance of supply chains. We compare various rules that are used in allocating stocks by different industries.
- MA04.3
Coordinating Supply Chain with Competition: Capacity Allocation in Semiconductor Manufacturing Suman Mallik, Patrick T. Harker --- Univ. of PA, OPIM Dept., Wharton Sch., 1300 SH-DH, 3620 Locust Walk, Philadelphia, PA 19104-6366, (mallik84@wharton.upenn.edu)
- Many multi-divisional firms make their production/allocation decisions based on forecasts from divisions and/or plants. The process is often characterized by conflicts of interests between the center and the divisions. We present a generalization of our earlier model of capacity allocation under asymmetric information.
- MA04.4
Choosing Coordination Methods for Supply Chains: Experiential Learning Joyce S. Mehring --- Univ. of MA, Coll. of Mgmt., 1 University Ave., Lowell, MA 01854 , (joyce_mehring@uml.edu)
- Methods for coordinating supply chain activities range from standardization to targets and from plans to teams. The best choice is said to depend upon the extent of interdependence, uncertainty, and conflict among activities. In this context, we examine the coordination methods selected by participants in a variant of Siemen AG's Supply Chain Game and the supply chain's performance.
The Bullwhip Effect
Session: MA05
Date/Time: Monday 08:00-09:30
Type: Sponsored
Sponsor: MSOM
Track:
Cluster:
Room: Grand Salon
Chair: Karen L. Donohue
Chair Address: Univ. of PA, The Wharton Sch., OPIM, 1300 SH-DH, Philadelphia, PA 19104-6366,
Chair E-mail: donohue@opim.wharton.upenn.edu
- MA05.1
Quantifying the Bullwhip Effect in a Simple Supply Chain with Correlated Demand Processes Jennifer K. Ryan, David Simchi-Levi, Y. Frank Chen --- Purdue Univ., Sch. of IE, W Lafayette, IN 47907 , (jkryan@ecn.purdue.edu)
- An important observation in supply chain management, known as the bullwhip effect suggests that demand variability increases as one moves up a supply chain. In this paper we analyze the increase in variability in supply chains in which retailers face demands which are serially correlated, i.e., which are not independent from period to period.
- MA05.2
Supply Chain Stability: Conditions for the Propagation of the Bullwhip Effect Manuel Pedro Baganha, Morris A. Cohen --- Univ. de Lisboa, Fac. Economia, Rua Marques De Fronteira 20, Lisboa, 1070 , Portugal (mbaganha@feunix.fe.unl.pt)
- Market demand information is distorted by ordering decisions of material managers at each stage of the supply chain. We analyze the impact of batch size, leadtime and market demand variance on this 'bullwhip' effect. Results are based on a comprehensive simulation study of a stochastic multi-echelon supply chain model.
- MA05.3
The Bullwhip Effect in Personal Computer Supply Chains Hirofumi Matsuo, Nikhil T. Jain --- Univ. of TX, Grad. Sch. of Bus., Dept. of MSIS, Austin, TX 78712-1175, (matsuoh@mail.utexas.edu)
- The demand of personal computers is characterized by life cycle curves. The challenge for manufacturers and retailers is to meet the peak demand and not to leave obsolescence inventory at the end of the cycle. This talk presents the mechanism and financial impact of the bullwhip effect across personal computer supply chains.
- MA05.4
An Experimental Investigation of the Bullwhip Effect Rachel Croson, Karen L. Donohue --- Univ. of PA, 1322 SH-DH, Dept. of OPIM, Wharton School of Bus., Philadelphia, PA 19104-6366, (crosonr@opim.wharton.upenn.edu)
- We report the results of an experimental study measuring how the institutional design of a supply chain impacts the magnitude and timing of the bullwhip effect in a multi-echelon system. In particular, we examine the empirical effects of individual incentives as well as various types of information access (e.g., consumer demand, chain inventory, etc.).
Design Issues in Manufacturing & Service
Session: MA06
Date/Time: Monday 08:00-09:30
Type: Sponsored
Sponsor: MSOM
Track:
Cluster:
Room: Richelieu
Chair: Shanling Li
Chair Address: McGill Univ., Fac. of Mgmt., 1001 Sherbrooke St. W, Montreal, Quebec, H3A 1G5 , Canada
Chair E-mail: li@management.mcgill.ca
- MA06.1
Flexibility & Adaptability in Staffing Policies in Assembly Lines William W. Cooper, Hirofumi Matsuo, Sanjeev Bordoloi --- Univ. of TX, Grad. Sch. of Bus., Dept. of MSIS, Austin, TX 78712-1175, ()
- Two important considerations in knowledge-based assembly-heavy manufacturing where worker turnover rate is high and loss of productivity is expensive, are to 'flex' workers across different work centers and to develop workers' knowledge base through proper training programs. We treat these issues in light of manufacturing 'flexibility' and 'adaptability,' and provide a formulation for developing staffing policies.
- MA06.2
Modeling a Capacity & Technology Problem in Service Networks Devanath Tirupati --- Univ. of TX, Dept. of Mgmt., Austin, TX 78712 , (dev@uts.cc.utexas.edu)
- We consider a facilities location problem involving technology and capacity choices for providing a menu of services to multiclass customers characterized by limited wait tolerance and service time dependent price. We develop an optimization model that explicitly considers effect of operating policies to manage customer waits and balking behavior. We illustrate the scope of our approach with computational results based on a real world application.
- MA06.3
A Material Handling System Selection Model for FMs Jen Shang --- Univ. of Pittsburgh, Grad. Sch. of Bus., Pittsburgh, PA 15260 , (shang@katz.business.pitt.edu)
- A 2-phased method is proposed for MHS selection. At phase one, AHP narrows down the large number of output evaluation criteria. Phase two employs DEA to determine the most efficient system. A modification of the original model becomes imperative. Adopting the cross efficiency matrix along with goal programming procedure helps determine the best material handling system.
- MA06.4
A Chicken-and-Egg-Problem? The Interaction Between Manufacturing System Design & Facility Layout Russell D. Meller --- Auburn Univ., Dept. of ISE, 308 Dunstan Hall, Auburn, AL 36849-5346, (rmeller@eng.auburn.edu)
- The facility layout problem is important since the layout is the substrate upon which the manufacturing system resides. Does the best choice of a manufacturing system depend on the facility layout? A case-study highlights the answer and a general model is proposed.
Development & Implementation of Manufacturing Systems: Problems & Research Directions
Session: MA07
Date/Time: Monday 08:00-09:30
Type: Sponsored
Sponsor: MSOM
Track:
Cluster:
Room: Matapedia
Chair: Tali Freed
Chair Address: , 14621 SW 87 CT, Miami, FL 33176 ,
Chair E-mail: talifreed@aol.com
- MA07.1
Integrated Development & Implementation of Manufacturing Execution Systems Neil F. Kane --- Stanford Univ., Dept. of IE/EM, Stanford, CA 94305-4024, (www-leland.stanfordedu/~kane)
- A Manufacturing Execution (WIP tracking/Inventory Control) System is the data collection engine for inventory status. Since the data is used by multiple functions within the organization, the development and implementation of an MES must be an integrated organizational effort. Minimization of time to perform WIP tracking tasks must be a conscious design choice.
- MA07.2
Implementing Successful Planning Systems: The Importance of Project Management Expertise & Field Proven Research Frank Chance --- , 5852 Corte Margarita, Pleasanton, CA 94566
- I discuss 2 hypotheses drawn from my experience developing and implementing Factory Explorer, a capacity, cost and cycle time analysis tool for manufacturing. The first is that project management expertise on the part of implementers is crucial to system success. Second, research opportunities abound, but field-proven results are all too scarce.
- MA07.3
Design & Implementation of a Scheduling System: A Finger on the Pulse (Acceptance) & A Brain on Vital Signs (Performance Measures) Tali Freed --- , 14621 SW 87 CT, Miami, FL 33176 , (talifreed@aol.com)
- This presentation includes a comprehensive description, accompanied by examples, of problems that are likely to be encountered during the development and implementation phases of a scheduling system. The presentation also identifies the problems where research can significantly contribute to better performance and more functionality in a scheduling system.
Panel: Publishing in IEEE Transactions in Envineering Management
Session: MA08
Date/Time: Monday 08:00-09:30
Type: Sponsored
Sponsor: Technology Management Section
Track:
Cluster:
Room: Chaudiere
Chair: Dundar F. Kocaoglu
Chair Address: Portland State Univ., Eng. Mgmt. Program, 1900 SW 4th Ave., Portland, OR 97201 ,
Chair E-mail: kocaoglu@emp.pdx.edu
- MA08.1
Panel: Publishing in IEEE Transactions in Engineering Management R. Balachandra, Frederick Betz, Burton V. Dean, Richard C. Dorf, George F. Farris, Cheryl Gaimon, Eliezer Geisler, Donald Gerwin --- Northeastern Univ., 314 Hayden Hall, Boston, MA 02115 , ()
- The editor-in-chief and department editors of IEEE Transactions on Engineering Management will discuss publication strategies and directions of the journal. Brief presentations will be followed by a Question/Answer period.
Current Issues in New Product Development, Knowledge Transfer & Innovation
Session: MA09
Date/Time: Monday 08:00-09:30
Type: Sponsored
Sponsor: Technology Management Section
Track:
Cluster:
Room: St. Charles
Chair: Michael K. Badawy
Chair Address: VA Tech., Pamplin Coll. of Bus., 7054 Haycock Rd., Falls Church, VA 22043 ,
Chair E-mail: badawy@vt.edu
- MA09.1
The Transfer of Knowledge in Organizations Linda Argote --- Carnegie Mellon Univ., GSIA, Pittsburgh, PA 15213-3890, ()
- The paper argues that embedding knowledge in technology facilitates knowledge transfer within and across organizations. Data from manufacturing and services setting are drawn upon to illustrate the effects of embedding knowledge in technology on its transfer. The paper also argues that embedding knowledge in technology facilitates its transfer overtime.
- MA09.2
Survey Methodologies for Meeting Customers' New Product & Innovation Needs Lee Friedman --- Booz, Allen & Hamilton Inc., 8283 Greensboro Dr., McLean, VA 22102-3838, (friedman_lee@bah.com)
- Costomers surveys, if properly designed, administered, and analyzed, enable corporations to meet their customers' new product and innovation needs. I will discuss how to design these surveys, as well as critical sampling issues. I will also discuss how multivariate statistics can provide corporations with optimal diagnostic information for technology innovation.
- MA09.3
Firm Innovativeness & CEO Characteristics Elisabeth Lefebvre, Louis Lefebvre --- Ecole Polytech., Dept. of IE, Montreal, Quebec, H3C 3A7 , Canada ()
- This presentation explores some correlates of firm performance, innovativeness, and CEO characteristics. Justifications for management as well as future research directions will be discussed.
- MA09.4
Cross-Functional Teams for Effective Product Development Michael K. Badawy --- VA Tech., Pamplin Coll. of Bus., 7054 Haycock Rd., Falls Church, VA 22043 , (badawy@vt.edu)
- This presentation focuses on the issues involved in managing cross-functional teams, identify barriers to implementation, and prepare a research agenda for enhancing team performance in new product development =settings.
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Tutorial: Financial Models
Session: MA19
Date/Time: Monday 08:00-09:30
Type: Invited
Sponsor:
Track:
Cluster:
Room: Duluth
Chair: Michele Breton
Chair Address: =Hcole des HEC, 5255 Decelles, Montr=fal, Qu=fbec, H3T 1V6 , Canada
Chair E-mail:
- MA19.1
Tutorial: Financial Models John M. Mulvey --- Princeton Univ., Sch. of Eng. & Applied Sci., Princeton, NJ 08544 , (mulvey@macbeth.princeton.edu)
- Banks, insurance companies and other leading financial institutions often employ stochastic optimization for managing risks and seeking out opportunities. Five key elements are reviewed: organization-wide models, temporal risk measures, generation of scenarios, dynamic investment strategies and solution algorithms. A long-term financial planning application highlights the issues.
Tutorial: Column Generation Methods
Session: MA20
Date/Time: Monday 08:00-09:30
Type: Invited
Sponsor:
Track:
Cluster:
Room: Marquette
Chair: Marius M. Solomon
Chair Address: Northeastern Univ., 360 Huntington Ave., Boston, MA 02186 ,
Chair E-mail:
- MA20.1
Tutorial: Column Generation Methods Jacques Desrosiers --- Ecole des HEC & GERAD, 3000 ch. Cote-Ste-Catherine, Montreal, Quebec, H3T 2A7 , Canada (jacques@crt.umontreal.ca)
- We present a historical perspective on column generation methods including relationships with alternative decomposition algorithms such as cutting plane, bundle, analytic center and Lagrangean relaxation. This is followed by some recent numerical experimentations on integer programming applications. A demonstration using the GENCOL optimizer is provided.
Decision Analysis/Bayesian Methods for Simulation
Session: MA21
Date/Time: Monday 08:00-09:30
Type: Sponsored
Sponsor: College on Simulation
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Room: Cote St. Luc
Chair: Stephen E. Chick
Chair Address: Univ. of MI, Dept. of IOE, 1777 IOE Bldg., Ann Arbor, MI 48109-2117,
Chair E-mail: sechick@engin.umich.edu | personal.engin.umich.edu/~sechick/
- MA21.1
Optimal Computing Budget Allocation for Stochastic Simulation Chun-Hung Chen, Liyi Dai, Karen L. Donohue, Enver Yucesan --- Univ. of PA, Dept. of Systems Eng., Philadelphia, PA 19104-6315, (chchen@seas.upenn.edu)
- The Operational Personnel Risk Assessment Model, OPRAM, uses Monte Carlo simulation to assess the risk of personnel shortages by analyzing personnel resources and air force obligations. By using this model, we can better define and balance the personnel mix and deployment capability while continuing the process of downsizing.
- MA21.2
A Decision-Theoretic Approach for Selecting the Best System Stephen E. Chick --- Univ. of MI, Dept. of IOE, 1777 IOE Bldg., Ann Arbor, MI 48109-2117, (sechick@engin.umich.edu | personal.engin.umich.edu/~sechick/)
- MA21.3
Slice Samplers to Simulate Posterior Distribution Paul Damien --- Univ. of MI, Bus. Sch., Ann Arbor, MI 48109-2117, ()
Decision Analysis I
Session: MA22
Date/Time: Monday 08:00-09:30
Type: Contributed
Sponsor:
Track:
Cluster:
Room: Pointe Aux Trembles
Chair: Zvi Covaliu
Chair Address: George Washington Univ., MS Dept., SBPM, 2115 G Street NW, Washington, DC 20052 ,
Chair E-mail: covaliu@research.circ.gwu.edu | gwis2.circ.gwu.edu/~covaliu
- MA22.1
On the Concept of Efficiency in Decision Analysis Ercan Tirtiroglu, Dogan Tirtiroglu --- Univ. of MA, 285 Old Westport Rd., N Dartmouth, MA 02747-2300, (etirtiroglu@umassd.edu)
- In covering Bayes' theorem and its application in the context of decision trees, several (most of them introductory-level) textbooks refer to the ratio, EVSI/EVPI, as 'efficiency,' giving little attention to its interpretation and/or significance. We attempt to address this issue, offering an exposition of efficiency and its informational value.
- MA22.2
CE Value Functions for Decision Analysis Ronald E. Davis --- San Jose State Univ., 1 Washington Sq., BT 750, San Jose, CA 95192-0069, (davis_r@cob.sjsu.edu www.cob.sjsu.edu/facstaff/davis_r/)
- Since certain equivalent dollar values are often more meaningful to practitioners than expected utilities, we report on a library of callable custom functions converting well-known probability distribution types into dollar equivalents based on distribution parameters and risk tolerance. The functions reported are based on exponential utility.
- MA22.3
Modeling Quality & Purity of Information in Decision Analysis Roberto Ley-Borras --- Inst. Tecnologico de Orizaba, Oriente 9 No. 852, Orizaba Ver, 94320 , Mexico (ley@itorizaba.edu.mx)
- We can model the quality of additional information as a property independent of the current state of information and value structure of the problem, and use a quality index for measuring its accuracy. We can model information acquisition impurities (side effects) using different levels of model completeness and modeling effort.
- MA22.4
Bayes Sequential Decision Making in Project Management Zvi Covaliu, Refik Soyer --- George Washington Univ., MS Dept., SBPM, 2115 G Street NW, Washington, DC 20052 , (covaliu@research.circ.gwu.edu | gwis2.circ.gwu.edu/~covaliu)
- We propose and illustrate a framework for optimal, sequential decisions on scheduling and 'crashing' of activities in PM. It explicitly models dependence among uncertain resources and activities and makes Bayesian inference about future activities based on accummulated observations. Graphical tools are used to model several typical PM situations.
Probability Forecasting: The Legacy of Allan Murphy
Session: MA23
Date/Time: Monday 08:00-09:30
Type: Sponsored
Sponsor: Decision Analysis Society
Track:
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Room: Jacques Cartier
Chair: James E. Smith
Chair Address: Duke Univ., Box 90120, Durham, NC 27708-0120,
Chair E-mail: jes9@mail.duke.edu
- MA23.1
Probability Forecasting: The Legacy of Allan Murphy Robert L. Winkler --- Duke Univ., Fuqua Sch. of Bus., Durham, NC 27708-0120, (rwinkler@mail.duke.edu)
- Allan Murphy was instrumental in moving forward probability forecasting, forecast verification and the use and value of forecasts. His interdisciplinary contributions spanned conceptual issues, methodology development, empirical studies, behavioral experiments, development of decision-making models and applications. We highlight his work and discuss important current research issues in probability forecasting.
Control of Queueing Systems I
Session: MA25
Date/Time: Monday 08:00-09:30
Type: Sponsored
Sponsor: Applied Probability Section
Track:
Cluster:
Room: St. Laurent
Chair: Rhonda L. Righter
Chair Address: Santa Clara Univ., Dept. of Decision & Info. Sci., Santa Clara, CA 95953 ,
Chair E-mail: rrighter@scu.edu
- MA25.1
The Stochastic Machine Minimization Problem with Hard Deadlines & Arrivals Nah-Oak Song, Demosthenis Teneketzis --- Univ. of MI, Dept. of EECS, Ann Arbor, MI 48109 , (teneket@eecs.umich.edu)
- Stochastic machine minimization problems are motivated by resource allocation issues in communication networks and image formation systems. We formulate an infinite horizon stochastic machine minimization problem with hard deadlines and arrivals. We determine qualitative properties of machine allocation policies that minimize the expected number of machines used throughout the infinte horizon.
- MA25.2
Scheduling & Control of Queueing Networks via Fluid Models Gideon Weiss --- Haifa Univ., Dept. of Stats., Haifa, 31905 , Israel (gweiss@stat.haifa.ac.il)
- A congested queueing network in a transient state can be approximated by a fluid network, in which discrete parts (customers) are replaced by fluid, and stochastic processing times by deterministic flows. We discuss algorithms for optimal control of the fluid networks, implementation to discrete networks, and asymptotic optimality.
- MA25.3
Bicriterion Optimization of Switching Policies for M/G/1 Queues with Batch Arrivals Eugene A. Feinberg --- SUNY, Harriman Hall, Stony Brook, NY 11794-3775, (efeinber@fac.har.sunysb.edu)
- We consider a M/G/1 queue with batch arrivals and with a removable server. The server may be turned on and off any time but there are setup costs and startup and shutdown times. We describe the set of Pareto optimal policies for the following two criteria: the average operating costs and average delay.
- MA25.4
Scheduling Multicast Switches Rhonda L. Righter, Zhen Liu --- Santa Clara Univ., Dept. of Decision & Info. Sci., Santa Clara, CA 95953 , (rrighter@scu.edu)
- In multicast transmissions users broadcast their data to an arbitrary subset of other users. In each time slot at most one cell from each input can be transmitted to each output. We give properties of policies that stochastically maximize the departure process.
Queueing Issues I
Session: MA27
Date/Time: Monday 08:00-09:30
Type: Contributed
Sponsor:
Track:
Cluster:
Room: St. Michel
Chair: Barry A. Pasternack
Chair Address: CA State Univ., Dept. of MS/IS, Fullerton, CA 92834 ,
Chair E-mail: bpasternack@fullerton.edu
- MA27.1
Rough Asymptotic Behavior of Tandem M/G/infinity Queues Tim Zajic --- Univ. of MN, Sch. of Math. 127 Vincent Hall, 206 Church St. SE, Minneapolis, MN 55455 , (zajic@math.umn.edu http://www.math.umn.edu/~zajic)
- We derive results regarding the asymptotic behavior of M/G/infinity queues by utilizing their representation in terms of Poisson random measures and in turn adapting recent asymptotic behavior results for empirical processes to the setting of Poisson random measures.
- MA27.2
Queues with Variable Number of Servers Tao Yang, Hui Li --- Dalhousie Univ., Dept. of IE, Halifax, Nova Scotia, B3J 2X4 , Canada (yangt@tuns.ca)
- In modern communication networks such as the broadband intergrated services digital network, it is possible to re-negotiate the bandwidth of a virtual channel during the course of a communication session. Motivated by this situation, we study the steady-state behavior of an M/M/s queueing system in which the number of servers varies according to the demands.
- MA27.3
Discount Pricing for Rental Systems Albert Y. Ha --- Yale Univ., Sch. of Mgmt., 135 Prospect St., New Haven, CT 06511-3729, (albert.ha@yale.edu)
- We consider the problem of determining when to offer discounts for a rental system with stochastic demand and rental time. We formulate the problem as a control problem of an M/M/S/S queueing system and analyze the structure of the optimal policy. Numerical results will be presented.
- MA27.4
Designing a Multi-Campus Help Desk System Barry A. Pasternack --- CA State Univ., Dept. of MS/IS, Fullerton, CA 92834 , (bpasternack@fullerton.edu)
- In this paper we develop a methodology for determining staffing requirements at technology help desks for a multi-campus educational system. We present both an efficient method for calculating service measures for an M/M/k system and a greedy algorithm for performing the staffing allocation. A comparison is made between centralized and decentralized staffing plans.
Teaching OR/MS in Spreadsheets
Session: MA28
Date/Time: Monday 08:00-09:30
Type: Sponsored
Sponsor: Forum on Education
Track:
Cluster:
Room: Mont Royal
Chair: Ronald H. Wright, Salwa Ammar
Chair Address: Le Moyne College, Dept. of Bus. Admin., Syracuse, NY 13214 ,
Chair E-mail: wright@palm.lemoyne.edu
- MA28.1
What Do Spreadsheets Offer OR/MS Majors? Jeffrey D. Camm --- Univ. of Cincinnati, QAOM Dept., Coll. of Bus. Admin., Cincinnati, OH 45221-0130, (cammjd@email.uc.edu)
- The benefits of using spreadsheets in undergraduate and MBA core courses in management science have been well discussed. In this session we will discuss the use of spreadsheets for OR/MS majors. In particular, we will demonstrate the advantage of the integrative nature of the spreadsheet environment for more complex analyses.
- MA28.2
Development of a Spreadsheet Add-In for Waiting Line Analysis Armann Ingolfsson --- Univ. of Alberta, Fac. of Bus., Edmonton, Alberta, T6G 2R6 , Canada (armann.ingolfsson@ualberta.ca | ualberta.ca/~aingolfs/)
- The development of a spreadsheet add-in for analysis of waiting lines will be described. The aim is to make powerful tools available to unsophisticated users. Design goals are seamless integration with the spreadsheet, terminology that is as transparent as possible, and anticipating common mistakes made by 'naive' users.
- MA28.3
Can Business School Statisticians Teach with Spreadsheets? Salwa Ammar, Ronald H. Wright --- Le Moyne College, Bus. Dept., Syracuse, NY 13214 , (ammars@palm.lemoyne.edu)
- Spreadsheets are increasingly commonplace in OR/MS courses. They haven't had the same impact in statistics courses. We will present a successful implementation of the use of spreadsheets in an undergraduate course and discuss how to overcome some of the perceived difficulties and emphasize the benefits of using spreadsheets.
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Student Prize Competition
Session: MA30
Date/Time: Monday 08:00-09:30
Type: Sponsored
Sponsor: Aviation Applications Section
Track:
Cluster:
Room: Fundy
Chair: Frederick Wieland
Chair Address: The MITRE Corp., 1820 Dolley Madison Blvd., MS W282, McLean, VA 22102 ,
Chair E-mail: fwieland@mitre.org
- MA30.1
Issues in Airspace Resource Allocation: The User-Optimized Traffic Flow Problem Jennifer R. Goodhart, Candace A. Yano --- Univ. of CA, 4135 Etcheverry Hall, Berkeley, CA 94720-1777, (goodhart@ieor.berkeley.edu)
- The FAA projects passenger air taffic to increase by 50% over the next 10 years. Our skies and airports are already becoming congestd, causing delays and heavy loads on the air traffic management system. The Air Transport Association estimates the cost of delays to US air carriers in 1994 at $3.5 billion. This figure is based on 6 million flights and incorporates losses during gate, taxi and enroute stages of flight...
- MA30.2
The Traffic Flow Management Rerouting Problem in Air Traffic Control: A Dynamic Network Flow Approach Sarah Stock Patterson, Dimitris Bertsimas --- MIT, 125 University Rd., Brookline, MA 02416-4545, ()
- We address the problem of determining how to reroute aircraft in the air traffic control system when faced with dynamically changing weather conditions. The overall objective is the minimization of delay costs. We present an integrated mathematical programming approach that consists of several methodologies. In computational experiments, the solutions returned are within 1% of the corresponding lower bounds.
- MA30.3
The Air Traffic Flow Management Problem with Enroute Capacities Sarah Stock Patterson, Dimitris Bertsimas --- MIT, 125 University Rd., Brookline, MA 02416-4545, ()
- Throughout the US and Europe, demand for airport use has been increasing rapidly, while airport capacity has been stagnating. Over the last 10 years, the number of passengers has increased by more than 50% and is expected to continue increasing at this rate. Acute congestion in many major airports has been the unfortunate result. We build a model that takes into account the capacities of the National Airspace System as well as at the airports...
Metaheuristics for Location & Routing Problems
Session: MA32
Date/Time: Monday 08:00-09:30
Type: Contributed
Sponsor:
Track:
Cluster:
Room: Frontenac
Chair: R. Ramesh
Chair Address: SUNY, 325H Jacobs Mgmt. Ctr., Buffalo, NY 14260 ,
Chair E-mail: rramesh@acsu.buffalo.edu
- MA32.1
The Traveling Salesman Problem: A Tabu Search & Ejection Chain Approach R. Ramesh, Sudip Bhattacharjee --- SUNY, 325H Jacobs Mgmt. Ctr., Buffalo, NY 14260 , (rramesh@acsu.buffalo.edu)
- We develop a solution methodology for the TSP, using an implementation of embedded neighborhood structures based on the notion of ejection chains, within the broad framework of TS. This method provides a combinatorial leverage effect in searching the TSP solution space. Simulation results are compared with optimal values.
- MA32.2
A Simulated Annealing-Based Solution Approach to Location-Routing Problems with Traveling Salesman Problem-Based Hub Interactions Ripu Daman Singh, Tom M. Cavalier --- PA State Univ., 710 S Atherton St., Apt. 508, State College, PA 16801 , (singh@marie.psu.edu)
- LRPs are NP-hard problems involving simultaneous location of hubs, assignment of customers to hubs and formation of routes to service the customers from hubs. An SA-based heuristic will be presented for solving a class of LRPs in which the hubs interact via a TSP route.
- MA32.3
Long-Term Implementation of a Tabu Search Algorithm for the Location Routing Problem Dilek Tuzun, Laura I. Burke --- Lehigh Univ., Mohler Lab # 200, Bethlehem, PA 18015 , (dit2@lehigh.edu)
- Location routing problem (LRP) is an important logistics problem with many practical applications. We present the results of a 2-phase tabu search heuristic for the LRP and discuss long term implementation aspects of this algorithm.
- MA32.4
An Evolutionary Algorithm for Vehicle Routing Robert T. Sumichrast, Ina Samanta Markham --- VA Polytech. Inst. & State Univ., 1007 Pamplin Hall, Blacksburg, VA 24061-0235, (rsumichr@vt.edu)
- A special form of the vehicle routing problem is solved using an evolutionary algorithm. It is assumed that a number of trucks is owned and operated by a company. The trucks are scheduled to minimize material and transportation costs. Test results will be compared to other methods.
Finance I
Session: MA33
Date/Time: Monday 08:00-09:30
Type: Contributed
Sponsor:
Track:
Cluster:
Room: St. Lambert
Chair: L. Douglas Smith
Chair Address: Univ. of MO, Sch. of Bus. Admin., 8001 Natural Bridge Rd., St. Louis, MO 63121 ,
Chair E-mail: ldsmith@gbay.umsl.edu
- MA33.1
Integrated Models for Risk Management on Portfolios of Automobile Leases L. Douglas Smith, Ya Jung Wu, Dolly Matthew --- Univ. of MO, Sch. of Bus. Admin., 8001 Natural Bridge Rd., St. Louis, MO 63121 , (ldsmith@gbay.umsl.edu)
- Nonstationary Markovian models depict changing patterns of state transitions as a lease ages. A dozen logistic and regression models represent alternative events and attendent losses on termination of a lease. We discuss how these models are integrated into a system for risk management in a major US financial institution.
- MA33.2
Real Option Model for Managing Energy Price Risk Thomas Murphy, William G. Foote --- Air Liquide America Corp., 2700 Post Oak Blvd., Houston, TX 77056 , (tom.murphy@airliquide.com)
- A real option model of an energy-intensive industrial gas manufacturing facility shows the optimal strategy for managing energy price risk. The model establishes the interaction between real and financial options, and determines both value-at-risk and the optimal strategy for managing it. This is especially important as we approach deregulation.
- MA33.3
Indirect Inference: Scenario Generation Using the Bootstrap Thomas R. Willemain, Omer F. Demirel --- RPI, CII 5207, Troy, NY 12180-3590, (willet@rpi.edu)
- Traditional (direct) inference focuses on properties of estimators computed from bootstrap replicates. Indirect inference focuses on properties of the replicates themselves, i.e., their resemblance to independent replicates. Applications of indirect inference include trace-driven simulation and automatic scenario generation for risk assessment in finance and training human operators in complex tasks.
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Internet Applications
Session: MA35
Date/Time: Monday 08:00-09:30
Type: Contributed
Sponsor:
Track:
Cluster:
Room: St. Leonard
Chair: Moncef Belhadjali
Chair Address: Norfolk State Univ., 2401 Corprew Ave., Norfolk, VA 23504 ,
Chair E-mail: mbelhadjali@vger.nsu.edu
- MA35.1
Database Querying on the World Wide Web Joseph G. Davis --- Univ. of Wollongong, Dept. of Bus. Systems, Northfields Ave., Wollongong, NSW 2522 , Australia (joseph.davis@uow.edu.au)
- The WWW can be considered to be a huge semi-structured database. Existing Web search techniques have significant deficiencies with respect to robustness, flexibility and precision. We develop and implement a domain specific, object-relational database approach to querying the Web.
- MA35.2
Internet, Intranet & OR: Are There Any Implications? Frank Lampe --- Univ. of Bremen, Hochschulring 40, Bremen, 28199 , Germany (lampe@zfn.uni-bremen.de)
- The number of companies using the Internet grew at 50.5% between January and July 1997. 23% of all Internet hosts are commercial. I want to answer the question what implications this development will have on the employment, functions and development of OR -at present and in the near future.
- MA35.3
Introducing Internet Services in a Developing Country: Experiences in Kenya David L. Bakuli --- Univ. of Nairobi - Kenya, 107 Riverglade Ave., Amherst, MA 01002 , (bakuli@asqnet.org)
- Advances in IT have generated immense investment opportunities in developed countries but not in developing countries, which have unreliable telecommunications infrastructure. Drawing from experience working for an Internet service provider in Kenya, I discuss this implication on university education, the business community and the general economy.
- MA35.4
A Taxonomy of Internet Decision Support Systems Moncef Belhadjali, Bel G. Raggad --- Norfolk State Univ., 2401 Corprew Ave., Norfolk, VA 23504 , (mbelhadjali@vger.nsu.edu)
- The Internet is widely utilized in education. A growing number of students and faculty rely on it to perform a variety of tasks. We design a taxonomy equivalent to Alter's classification of DSSs, through a study of Internet tasks and expected support.
Telecommunications Network Design & Expansion
Session: MA38
Date/Time: Monday 08:00-09:30
Type: Sponsored
Sponsor: TST
Track:
Cluster:
Room: Outremont
Chair: Steven Chamberland
Chair Address: Ecole Polytech. of Montreal, CRT/Dept. of Math. & IE, CP 6079, Succ. Centre-ville, Montreal, Quebec, H3C 3A7 , Canada
Chair E-mail: steven3@crt.umontreal.ca
- MA38.1
A Capacitated Facility Location Problem for Fiber-to-the-Curb Planning David Mazur, Tamra Carpenter, Leslie A. Hall --- JHU, Dept. of Math. Sci., Baltimore, MD 21218-2682, (mazur@mts.jhu.edu)
- Given a discrete set of facility types, we consider placing facilities and assigning customers to facilities subject to a distance constraint. We present results on integer programming approaches to this problem, including cutting plane and column generation algorithms, and describe work on other special cases arising in telecommunications planning.
- MA38.2
Topological Expansion of Multiple Ring Networks Steven Chamberland, Brunilde Sanso --- Ecole Polytech. of Montreal, CRT/Dept. of Math. & IE, CP 6079, Succ. Centre-ville, Montreal, Quebec, H3C 3A7 , Canada (steven3@crt.umontreal.ca)
- We consider a model and propose a tabu heuristic for the topological expansion problem that includes the location of new modular switches, their configuration, the update of the access network and the expansion of the backbone network with a multiple ring topology. In the model, we consider that several access rates can be used, such as DS-3 and OC-3.
- MA38.3
Optimization Based Algorithms for Finding Minimum Cost Ring Covers in Survivable Networks Jeffery L. Kennington, V. S. S. Nair, Mohammed H. Rahman --- SMU, Dept. of Comp. Sci. & Eng., Sch. of Eng. & Applied Sci., Dallas, TX 75275-0122, ()
- An algorithm is presented to solve the minimum cost ring cover problem defined as follows: given a graph G with working capacities for each edge, find the least cost cover over all ring covers of G. Optimal solutions are obtained for small problems and good (but not provable optimal) designs are obtained for large problems.
- MA38.4
Hybrid Heuristic for the Topological Update of 2-Level Networks with Modular Switches Steven Chamberland, Brunilde Sanso --- Ecole Polytech. of Montreal, CRT/Dept. of Math. & IE, CP 6079, Succ. Centre-ville, Montreal, Quebec, H3C 3A7 , Canada (steven3@crt.umontreal.ca)
- We propose a mixed integer programming formulation and two resolution approaches (tabu and hybrid heuristics) for the general network updating problem. The problem is to update the access, the backb one and the switch locations and their configuration. In the model the choice of multiplexers in the access and the backbone and of different port and base types is included.
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Travel Demand Models
Session: MC01
Date/Time: Monday 13:00-14:30
Type: Sponsored
Sponsor: TSS & IFORS
Track:
Cluster:
Room: St. Laurent
Chair: David E. Boyce
Chair Address: Univ. of IL, Dept. of Civil & Materials Eng, 842 W. Taylor St., Chicago, IL 60606-7023,
Chair E-mail: dboyce@uic.edu
- MC01.1
Efficiency & Nested Logit Models Sven Erlander, Jan T. Lundgren --- Linkoping Univ., Dept. of Math, Linkoping, S-58187 , Sweden (sverl@mai.liu.se)
- Logit and nested logit models are frequently used in transportation analysis to describe and predict the choice between alternatives (destination, modes, route). We show how these models can be derived making assumptions of efficient choice behavior according to the efficiency principle.
- MC01.2
A Travel Choice Model with Detailed Network Access James E. Hicks, Mounir M. Abdel-Aal --- Univ. of IL, 1201 Newmark Civil Eng. Lab, 205 N Mathews Ave. MC 250, Urbana, IL 61801 , (je-hicks@uiuc.edu)
- A combined travel choice model is formulated which explicitly considers the detailed choice of access route from subareas within zones (i.e., households in the limit) to the primary transportation network. Resulting network flows approximate those which would be determined by conventional methods using these subareas as the basic travel demand unit.
- MC01.3
Modeling Auto Occupancy as an Endogenous Variable Maya Tatineni, David E. Boyce --- Univ. of IL, Dept. Civil & Materials Eng., 842 W Taylor St., Chicago, IL 60606-7023, (tatineni@uic.edu)
- Typically, auto occupancy rates are input to the travel modelling process as fixed factors to convert person trips to vehicle trips. We present a model to forecast the auto occupancy rates as endogenous travel choices based on ride sharing decisions.
- MC01.4
Validation of a Regional Travel Forecasting Model: A Progress Report David E. Boyce, Maya Tatineni, Ronald W. Eash --- Univ. of IL, Dept. of Civil & Materials Eng, 842 W. Taylor St., Chicago, IL 60606-7023, (dboyce@uic.edu)
- The study design for the implementation and validation of a detailed regional travel forecasting model is described. The model seeks to forecast origin-destination, mode and auto route choices for the Chicago Region, and is being estimated with a household travel survey for 1989-1991.
Computer Science & Transportation Science I
Session: MC02
Date/Time: Monday 13:00-14:30
Type: Sponsored
Sponsor: TSS & IFORS
Track:
Cluster:
Room: Bersimis
Chair: Ismail Chabini
Chair Address: MIT, 77 Massachusetts Ave., Room 1-263, Cambridge, MA 02139 ,
Chair E-mail: chabini@mit.edu
- MC02.1
High Performance Computing of Dynamic Network Models Sridevi Ganugapati, Ismail Chabini --- MIT, 77 Massachusetts Ave., Cambridge, MA 02139 , ()
- We investigate the development of high performance computing implementations of solution algorithms for the following transportation problems in dynamic networks: paths processing and dynamic traffic assignment. We consider various solution algorithms and implementation strategies. We analyze these implementations and quantify their performance in solving realistic problem instances.
- MC02.2
Software Design Aspects of DynaMIT: Dynamic Network Assignment for the Management of Information to Travelers Michel Bierlaire, Chris Greamo, Haris N. Koutsopoulis --- MIT, 3 Cambridge Ctr., Ste. 208, Cambridge, MA 02142 , (mbi@mit.edu)
- DynaMIT is a distributed software system for prediction-based guidance generation. It has an object-oriented and client-server design and is organized around processes (e.g. prediction), modules (e.g. supply) and components (e.g. network topology). The use of CORBA for the integration of the various elements into a distributed system allows for optimization of the allocation of these elements to processors for improved computational performance.
- MC02.3
On-Line Dynamic Shortest Paths Computation for Real-Time Transportation Applications Ismail Chabini --- MIT, 77 Massachusetts Ave., Room 1-263, Cambridge, MA 02139 , (chabini@mit.edu)
- We report on results of 3 approaches we adopted to speedup the on-line computation of dynamic shortest paths for real-time transportation applications. These include development of optimal, in the execution time sense, sequential algorithms, the exploitation of high performance computing platforms and the exploitation of hierarchical structures that exit in transportaion networks to develop better specialized algorithms...
Vehicle Routing I
Session: MC03
Date/Time: Monday 13:00-14:30
Type: Contributed
Sponsor:
Track:
Cluster:
Room: Gatineau
Chair: Hal Bowman
Chair Address: Morgan State Univ., 4600 Waterfall Ct. C, Owings Mills, MD 21117 ,
Chair E-mail: hbowman@morgan.edu
- MC03.1
Parcel Pickup Vehicle Assignment Using Predictions of Upcoming Demand Hal Bowman --- Morgan State Univ., 4600 Waterfall Ct. C, Owings Mills, MD 21117 , (hbowman@morgan.edu)
- A method is presented for incorporating information about upcoming demands into an algorithm for assigning orders to pick-up vehicles.
- MC03.2
An Operations Model for Tractor-Trailer Pickup Delivery Operations Wen Zhang, Lazar N. Spasovic --- NJIT, Inst. for Transportation, University Heights, Newark, NJ 07102 , (wxz2209@megahertz.njit.edu)
- We present an operation planning model for tractor-trailer pickup and delivery operation with time-windows. An efficient optimization based heuristic is developed to solve the model. The model was applied to a real world case study.
- MC03.3
Real-World Issues in Distribution Planning Sundararajan Arunapuram, Srinivas Rajagopal --- Manugistics, 1 Bala Plaza, Ste. 200, Bala Cynwyd, PA 19004-1401, (sundar_arunapauram@manu.com)
- We discuss some complex features encountered in real-world distribution planning problems, i.e., multiple time windows, multiple modes, cross-decks, etc. Broadly described as VRPs with several complicating constraints, these problems typically range in size from several hundred nodes to a few thousand. MANUGISTICS uses a combination of heuristic and optimal algorithms to tackle such problems.
Inventory Management I
Session: MC04
Date/Time: Monday 13:00-14:30
Type: Contributed
Sponsor:
Track:
Cluster:
Room: Harricana
Chair: Timothy L. Urban
Chair Address: Univ. of Tulsa, QM/MIS Dept., 600 South College Ave., Tulsa, OK 74104-3189,
Chair E-mail: urban@utulsa.edu
- MC04.1
A Production-Inventory Model Subject to Imperfect Production Process with Scrapped Defective Items Dennis E. Kroll, Chen-Sin Lin --- Bradley Univ., IMET Dept., Peoria, IL 61625 , (dek@bradley.edu)
- We study the economic production quantity model subject to an imperfect production process. We assume that the production deteriorates during the production run. As a result, some proportion of items produced are defective. These defective items cannot be reworked and must be disposed with additional cost.
- MC04.2
Economic Lot Size Model with Period-Dependent Inventory Costs Vernon N. Hsu --- George Mason Univ., 4400 University Dr., Fairfax, VA 22030 , (vhsu@som.gmu.edu)
- We consider a variant of economic lot size models where inventory costs are period-dependent in the sense that the inventories in a certain period may carry different costs depending on the various periods of their original production. We develop a DP algorithm for solving the problem.
- MC04.3
Minimizing Average Ordering & Holding Costs Subject to Service Constraints Tamer Boyaci, Guillermo Gallego --- Columbia Univ., IEOR Dept., 500 W 120th St., Mudd Bldg., Rm. 331, New York, NY 10027 , (boyaci@ieor.columbia.edu)
- We study 2 alternative formulations of the (Q,r) model. The first minimizes average holding and ordering costs under a minimum fill rate constraint; the second adds a time average fill rate constraint. We derive basic qualitative properties and develop algorithms to compute the optimal (Q,r) pair for both models.
- MC04.4
Controlling Displayed Inventories Timothy L. Urban --- Univ. of Tulsa, QM/MIS Dept., 600 South College Ave., Tulsa, OK 74104-3189, (urban@utulsa.edu)
- It has long been acknowledged that displayed inventory has an effect on sales for many retail products. We present generalizations of existing inventory models that account for this effect on sales, recognizing the effect of less-than-full shelves as well as making an explicit distinction between displayed inventory and backroom inventory.
Supply Chain Management
Session: MC05
Date/Time: Monday 13:00-14:30
Type: Sponsored
Sponsor: MSOM
Track:
Cluster:
Room: Grand Salon
Chair: Warren H. Hausman
Chair Address: Stanford Univ., IE/EM Dept., Terman Eng. Ctr., Stanford, CA 94305-4024,
Chair E-mail: hausmanw@leland.stanford.edu
- MC05.1
Rocket Science Retailing Marshall Fisher, Ananth Raman --- Univ. of PA, The Wharton Sch., Philadelphia, PA 19104 , (fisher@wharton.upenn.edu)
- The 'rocket science' movement transformed Wall Street by applying mathematical models from academia to transaction data on trades. Will POS data combined with recent advances in retail inventory modeling create the same revolution in retailing? We report preliminary results from a multi-year field study designed to answer this question.
- MC05.2
Intra-Organizational Supply Chain Coordination for Service Parts Logistics Systems: A Military Systems Field Study Morris A. Cohen, Karen L. Donohue, Vinayak V. Deshpande --- Univ. of PA, The Wharton School, Philadelphia, PA 19104-6366, (cohen@opim.wharton.upenn.edu)
- We report on the results of a military service parts logistics system field study. The system is reengineering its internal customer/supplier relationships. We analyze stock/service tradeoffs, alternative supply policies and the optimal assignment of polices to parts/systems groupings in this environment of long lead times and high performance requirements.
- MC05.3
Coordinated Shipment & Stock Rebalancing in a 2-Level Supply Chain Ki Ling Cheung, Hau L. Lee --- KHUST, Dept. Info. & Systems Mgmt., Clear Water Bay, Kowloon, , Hong Kong (imcheung@usthk.ust.hk)
- We examine the benefits of 2 information-based innovations in a supply chain with one supplier serving multiple retailers located in close proximity. One uses information on the retailer's inventory positions to coordinate supplier shipments to enjoy the economies of scale in shipments. The other uses the same information to unload shipments to retailers, so as to re-balance their stocking positions.
- MC05.4
Safety Stock Placement in Supply Chains with Nonstationary Demand Stephen C. Graves, Sean P. Willems --- MIT, 77 Massachusetts Ave., E40-439, Cambridge, MA 02139-4307, (sgraves@mit.edu)
- We present an optimization to determine where to place decoupling inventories, so-called strategic inventories, across a production/distribution supply chain subject to nonstationary demand. The nonstationary demand may reflect product life-cycle considerations or cyclic demand behavior. The optimization minimizes inventory holding costs subject to a service constraint for satisfying end item demand.
Operations Management in Health Services
Session: MC06
Date/Time: Monday 13:00-14:30
Type: Sponsored
Sponsor: MSOM
Track:
Cluster:
Room: Richelieu
Chair: Stefanos A. Zenios
Chair Address: Stanford Univ., Grad. Sch. of Bus., Stanford, CA 94305-5015,
Chair E-mail: stefzen@leland.stanford.edu
- MC06.1
Modeling & Analyzing the Impacts of Telemedicine Sam Clark --- Vector Research Inc., 2536 Packard, Ann Arbor, MI 48104 , (clarks@vrinet.com)
- The Healthcare Complex Model was developed in response to the need for prospective analysis of telemedicine planning, policy and resource allocation issues. This is a discrete event simulation model of the flow and treatment of patients within a complex of healthcare facilities of varying provider mixes and clinical capabilities.
- MC06.2
What's the Problem Worth? Finding Optimal Funding Levels for HIV Prevention Programs Margaret L. Brandeau, Christina Friedrich --- Stanford Univ., IE-EM Dept., Terman Bldg., Stanford, CA 94305-4024, (brandeau@stanford.edu | soe.stanford.edu/ieem/faculty/brandeau.html)
- We analyze optimal funding of HIV prevention programs (maximum number of lives saved per dollar spent). We consider several different types of production functions (defined as reduction in the disease transmission rate per dollar spent), and characterize the optimal solution. We apply the analysis using data from actual prevention programs.
- MC06.3
Optimization of a Linear-Quadratic Model with Volume-Dependent Sensitivity & Repopulation: A Rationale for Concomitant Boost Therapy Lawrence M. Wein, Amy Cohn --- MIT, Sloan Sch. of Mgmt., Rm. E53-343, Cambridge, MA 02139 , (lwein@mit.edu)
- We construct a model of a spherical tumor with a necrotic core, where radiation causes the tumor to change its size, sensitivity and rate of repopulation. Control theory is used to find the radiotherapy protocol that minimizes the final number of clonogenic tumor cells subject to a normal tissue constraint.
- MC06.4
Should Dialysis Filters be Reprocessed? Stefanos A. Zenios, Prahsant C. Fuloria --- Stanford Univ., Grad. Sch. of Bus., Stanford, CA 94305-5015, (stefzen@leland.stanford.edu)
- We use dynamic programming to derive and characterize the optimal reprocessing decisions for dialysis filters. Our framework includes a deterministic diffusion model for dialysis, and assumes that reprocessing reduces the effectiveness of the filters. We illustrate, using dialysis data, that reprocessing is optimal under fairly conservative assumptions.
Panel: Production Scheduling - Research Agendas that Bridge Theory & Practice
Session: MC07
Date/Time: Monday 13:00-14:30
Type: Sponsored
Sponsor: MSOM
Track:
Cluster:
Room: Matapedia
Chair: Kenneth N. McKay
Chair Address: Memorial Univ. of Newfoundland, Fac. of Bus. Admin., St. John's, NF, AIB 3X5 , Canada
Chair E-mail: kenmckay@plato.ucs.mun.ca
- MC07.1
Panel: Production Scheduling - Research Agendas that Bridge Theory & Practice Michael L. Pinedo, Reha Uzsoy, Scott Webster --- NYU Stern Sch. of Bus., OR Dept., Tisch Hall, 40 W 4th St., Ste. 7-08, New York, NY 10012-1118, (mpinedo@stern.nyu.edu)
- This session focuses on: types of research agendas which are feasible, research topics which are felt to be high impact and challenges which must be overcome while conducting this type of research. Three researchers who are bridging the gap will lead the discussion and enter into a dialog with the audience.
International Issues in Technology Management
Session: MC08
Date/Time: Monday 13:00-14:30
Type: Sponsored
Sponsor: Technology Management Section
Track:
Cluster:
Room: Chaudiere
Chair: Dundar F. Kocaoglu
Chair Address: Portland State Univ., Eng. Mgmt. Program, 1900 SW 4th Ave., Portland, OR 97201 ,
Chair E-mail: kocaoglu@emp.pdx.edu
- MC08.1
Developing Countries & Technology Management in High-Technology Industries Dilek C. Karaomerlioglu --- Case Western Reserve Univ., Ctr. Regional Econ. Issues, 311 Wickenden Hall, Cleveland, OH 44106 , (dxk15@po.cwru.edu)
- We focus on biotechnology and polymer industries in a sample of developed and developing countries. By observing their development such as their output, R&D investment, and technology in the last decade, we will examine what factors and policies are in effect in these countries to support their high-tech industries and economic development.
- MC08.2
A Report on State-of-the-Art Multicultural Project/Team Management Dragan Milosevic --- Portland State Univ., Eng. Mgmt. Program, Portland, OR 97207-0751, (dragan@emp.pdx.edu)
- Are American project/team management practices universally applicable? According to our literature review, the time has come to discard the belief of American project/team management practices being universally applicable. Instead, the belief should be replaced with a new paradigm that project/team management is culture-bound. This paper provides a close look at the paradigm.
- MC08.3
Do Standardized Project Management Practices Work? Dragan Milosevic, Lane Inman --- Portland State Univ., Eng. Mgmt. Program, Portland, OR 97207-0751, (dragan@emp.pdx.edu)
- How far is the corporate world in the process of standardizing project and team management practices? What are the benefits of the standardization? These two research questions are central to our research that included over 160 companies across United States and Canada. Our findings offer some thought-provoking conclusions.
Technology & Standards
Session: MC09
Date/Time: Monday 13:00-14:30
Type: Sponsored
Sponsor: Technology Management Section
Track:
Cluster:
Room: St. Charles
Chair: Sanjay Jain
Chair Address: NYU, 7-153 Tisch Hall, 40 West 4th St., New York, NY 10012 ,
Chair E-mail: sjain0@stern.nyu.edu
- MC09.1
Leveraging Architectural Leadership: The Case of Adobe System Mary Tripsas --- Univ. of PA, The Wharton Sch., 2000 SH-DH Hall, Philadelphia, PA 19104 , (tripsas@wharton.upenn.edu)
- The combination of 'open' architectural standards and industry convergence has stripped many firms of internal architectural control by imposing external standards that significantly constrain design choices. We examine how a firm can establish and leverage architectural leadership through an examination of Adobe Systems and the page description language market.
- MC09.2
Coupling the Technical & Institutional Faces of JANUS in Network Industries Arun Kumaraswamy, Raghu Garud --- Rutgers Univ., Sch. of Bus., Rm. 207 BSB, Camden, NJ 08102 , (akumaras@crab.rutgers.edu)
- We argue that the dichotomous two stage dominant design model needs to be recast to explain continual change occurring in network industries. Instead of the dichotomous model, we propose a dualistic model and illustrate this=model employing data from the workstation market of the computer industry.
- MC09.3
Standards, Modularity, & Innovation: The Case of Medical Practice Richard N. Langlois, Deborah A. Savage --- Univ. of CT, Economics U63, Storrs, CT 06269-1063, (langlois@uconnvm.uconn.edu)
- Most analyses of path dependence have focused on the compatibility of physical components. Few in this tradition have looked at standards as coordinating human behavior rather than connecting technology. We view standards as social institutions that help coordinate human activity, and explicate this perspective in the context of medical practice.
- MC09.4
Forging The Rules: Organizational Actors & Standards Strategy Sanjay Jain --- NYU, 7-153 Tisch Hall, 40 West 4th St., New York, NY 10012 , (sjain0@stern.nyu.edu)
- In network-based industries, firms that influence the creation of compatibility standards can gain competitive advantage. Firms can adopt an 'open' approach, making their standards freely available, or they can take a 'closed' approach, geared towards rent appropriation. I explore the choices made by firms in the local area networking industry.
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Bridging Continents & Cultures
Session: MC19
Date/Time: Monday 13:00-14:30
Type: Contributed
Sponsor:
Track:
Cluster:
Room: Duluth
Chair: Heiner E. Muller-Merbach
Chair Address: Univ. Kaiserslautern, PF 30 49, Kaiserslautern, D-67653 , Germany
Chair E-mail: hmm@sozwi.uni-kl.de | www-bior.sozwi.uni-kl.de/
- MC19.1
Socrates vs. Confucius: Schools of Thought from the West & the East Heiner E. Muller-Merbach --- Univ. Kaiserslautern, PF 30 49, Kaiserslautern, D-67653 , Germany (hmm@sozwi.uni-kl.de | www-bior.sozwi.uni-kl.de/)
- Bridging Continents and Cultures: ought to be related to the roots, i.e. the Western culture with the presocratics: Socrates, Plato and Aristole versus the Eastern culture with: Confucius and Mencius, Lao-Tse and Tschaung-Tse. Western and Eastern roots are different and so are today's scientific approaches.
- MC19.2
Fuzzy Logic: A Case Study of Cultural Factors in Modeling John N. Hooker --- Carnegie Mellon Univ., GSIA, Pittsburgh, PA 15213 , (jh38+@andrew.cmu.edu | gsia.cmu.edu/afs/andrew/gsia/jh38/jnh)
- The role and acceptance of mathematical modeling are influenced by cultural factors that are not well understood in the OR community. We attempt to broach the issue with a case study of fuzzy logic. An alternative is proposed to the popular explanations for its early acceptance in Asia.
Tutorial: Network Optimization - Learning from Recent Discoveries in Computer Science
Session: MC20
Date/Time: Monday 13:00-14:30
Type: Invited
Sponsor:
Track:
Cluster:
Room: Marquette
Chair: Stefano Pallottino
Chair Address: Univ. of Pisa, Dept. of Comp. Sci., Corso Italia 40, Pisa, , Italy
Chair E-mail: pallo@di.unipi.it
- MC20.1
Tutorial: Network Optimization - Learning From Recent Discoveries in Computer Science Ravindra K. Ahuja, Thomas L. Magnanti, James B. Orlin --- MIT, E53-361 Sloan Sch. of Mgmt., 50 Memorial Dr., Cambridge, MA 02139 , (ahuja@mit.edu)
- We present 3 elegant, significant and relatively simple recent results from computer scientists: an improved maximum flow algorithm due to Goldberg & Rao, construction of graphs known as 'light weight spanners' that simultaneously approximate optimal spanning trees and shortest paths and a topic to be determined shortly before the conference.
Supply Chain Management
Session: MC21
Date/Time: Monday 13:00-14:30
Type: Sponsored
Sponsor: College on Simulation
Track:
Cluster:
Room: Cote St. Luc
Chair: Christopher Hane
Chair Address: CAPS Logistics, Inc., 2700 Cumberland Pkway, Atlanta, GA 30339 ,
Chair E-mail: chane@caps.com
- MC21.1
Collaborative Supply Chain Design Using Optimization & Simulation Christopher Hane, Andrew Sudar --- CAPS Logistics, Inc., 2700 Cumberland Pkway, Atlanta, GA 30339 , (chane@caps.com)
- Supply chain design models are making decisions worth millions of dollars, usually without integrated analysis of the variability of the proposed system. This talk will demonstrate how two best-of-breed software vendors, CAPS Logistics and Systems Modeling, are providing an easy-to-use interface that supports collaboration between optimization and simulation models.
- MC21.2
Investment & Subcontracting Under Demand Uncertainty Jan A. Van Mieghem --- Northwestern Univ., Kellogg Sch. of Mgmt., 2001 Sheridan Rd., Evanston, IL 60208-2001, (vanmieghem@nwu.edu)
- We study subcontracting and outsourcing by analyzing the investment strategies of two firms, contractor and subcontractor, that have the option to cooperate in the face of uncertain market demands. The main model is a two stage stochastic game using the incomplete contracts approach. First investment decisions are made. In the second stage...
- MC21.3
An Applied LP/MIP Model of a Supply Chain Network Dan Cahill, Zahir Balaporia, Jennifer Jancik-Bailey --- Schneider Logistics, Inc., 3101 S Packerland Dr., PO Box 2666, Green Bay, WI 54306 , (dcahill@schneider.com)
- The authors completed an application of AMPL + and CPLEX to model a complex supply chain network with multiple business units and many product types. The modeling effort produced an accurate and detailed baseline model of 1996 operations. The validated model was used to solve facility location problems, present alternative network formulations to improve service and reduce distribution costs and provide increased visibility into the supply chain.
- MC21.4
Supply Chain Mangement: Integrating Inventory & Transportation Lap Mui A. Chan, Ana Muriel, David Simchi-Levi --- Hong Kong Poly Technic Univ., Dept. of Mgmt., Kowloon, , Hong Kong (mslmchan@smtpgwy.polyu.edu.hk)
- We analyze the problem faced by companies that rely on LTL (Less than TruckLoad) carriers for the distribution of products across their supply chain. In this case, the timing and routing of shipments need to be coordinated so as to minimize system-wide costs, including inventory, transportation and shortage costs, by taking advantage of economies of scale offered by the carriers. ...
Random Utility Models
Session: MC22
Date/Time: Monday 13:00-14:30
Type: Sponsored
Sponsor: Decision Analysis Society
Track:
Cluster:
Room: Pointe Aux Trembles
Chair: Michel Regenwetter
Chair Address: Duke Univ., Fuqua Sch. of Bus., Durham, NC 27708-0120,
Chair E-mail: regenwet@mail.duke.edu
- MC22.1
Binary Probabilities & the Linear Signed Order Polytope Peter C. Fishburn --- AT&T Bell Labs., Rm. 2C 354, 180 Park Ave., Florham Park, NJ 07932 , (fish@research.att.com)
- Signed orders are orderings of items and their anti-items that reflect relative likes and dislikes for the items. We consider relationships between binary choice probabilities on the set of items and anti-items, and probability distributions on the set of linear signed orders.
- MC22.2
Classes of Binary Relations as Media & Submedia Jean-Claude Falmagne --- Univ. of CA, MBS Sch. of Sciences, Irvine, CA 92697 , (jcf@aris.ss.uci.edu)
- Subjects are often asked to produce repeatedly binary relations (semiorders, quasi orders, etc.) representing judgments concerning commodities or individuals. A particular semigroup of transformations has been proposed by Falmagne as a tool for analyzing this type of temporal evolution. We pursue the study of this semigroup and review some applications.
- MC22.3
Cumulative Discrete Choice Amit Pazgal, Itzhak Gilboa --- Washington Univ., One Brookings Dr., CB 1133, St. Louis, MO 63130 , (pazgal@wuolin.wustl.edu)
- We present a discrete choice model in which consumer's impression of each alternative is based on her memory of past experiences, and is stochastically updated after consumption. Furthermore, the consumer may sometimes be 'dormant,' selecting the previously chosen option out of inertia. It is proven that both 'active' and 'dormant' cases lead to convergence of the choice frequencies with probability 1.
- MC22.4
Random Utility Models & Social Welfare Michel Regenwetter --- Duke Univ., Fuqua Sch. of Bus., Durham, NC 27708-0120, (regenwet@mail.duke.edu)
- In subset voting respondents pick a subset containing any number of alternatives from a fixed set. We merge 'approval voting' and the 'single transferable vote' from political science, the 'weak utility model' from mathematical psychology and 'social welfare orderings, Borda and Condorcet winners' from social choice theory.
The Practice of Probability Assessment
Session: MC23
Date/Time: Monday 13:00-14:30
Type: Sponsored
Sponsor: Decision Analysis Society
Track:
Cluster:
Room: Jacques Cartier
Chair: Thomas Eppel
Chair Address: Decision Insights Inc., 2062 Business Center Dr., Ste. 110, Irvine, CA 92612 ,
Chair E-mail: TomEppel@aol.com
- MC23.1
Framing & Assessing Models of the Needs of Computer Users Eric Horvitz --- Decision Theory Group 9S/1, Microsoft Research, One Microsoft Way, Redmond, WA 98025 , (horvitz@microsoft.com)
- The Lumiere project centers on the construction of Bayesian models of the goals and needs of users of computers. Lumiere prototypes served as the basis for the Office Assistant in the Microsoft Office '97 suite. I discuss the framing of distinctions and relationships and the assessment of probabilities in the Lumiere models.
- MC23.2
Experiences with Probability Elicitation Robert F. Bordley --- General Motors, R&D Ctr., Bld. 30500 Mound Rd., Warren, MI 48090-9055, (robert_bordley@notes.gmr.com)
- Much of the success of DA arises from the logical structuring it brings to a problem. However, in some contexts, quantifying subjective beliefs can also be of significant value. We focus on practical experiences associated with assessing subjective probabilities.
- MC23.3
Imputing Uncertainty Distributions from Expert Judgments Stephen C. Hora --- Univ. of HI, 200 W Kawili St., Hilo, HI 96720-4091, (shora@pahuleka.uhh.hawaii.edu)
- Probability elicitation should be conducted on values that are conceptually observable. When parameters are not observable, indirect methods of probability elicitation may be used. Some methods are discussed that have been used to quantify nuclear accident models.
- MC23.4
Expert Assessment of Flammable Gas Risks Thomas Eppel, Detlof von Winterfeldt --- Decision Insights Inc., 2062 Business Center Dr., Ste. 110, Irvine, CA 92612 , (TomEppel@aol.com)
- Some high-level nuclear waste tanks at DOE's Hanford site have the potential for gas releases and possible detonations or burns. We summarize the methodology and results of an expert elicitation about these risks and demonstrate the benefits of using specialized software in the elicitation process.
Control of Queueing Systems II
Session: MC25
Date/Time: Monday 13:00-14:30
Type: Sponsored
Sponsor: Applied Probability Section
Track:
Cluster:
Room: St. Laurent
Chair: Rhonda L. Righter
Chair Address: Santa Clara Univ., Dept. of Decision & Info. Sci., Santa Clara, CA 95953 ,
Chair E-mail: rrighter@scu.edu
- MC25.1
Virtual Partitioning for Robust Resources Sharing Sem C. Borst, Debasis Mitra --- Bell Labs, Lucent Tech., 700 Mountain Ave., PO Box 636, Rm. 2C-122, Murray Hill, NJ 07974-0636, (sem@research.bell-labs.com)
- We consider Virtual Partitioning, a scheme for sharing a resource among several traffic classes. The scheme assigns lower priority to classes which exceed their nominal capacity allocation, thus protecting the behaving classes. We develop computational algorithms for the case of hetergeneous traffic. The results show that the scheme is efficient, fair, and robust.
- MC25.2
Control of Queues with Decentralized Information Ulrich Rieder --- Univ. Ulm., Abteilung Mathematik VII, Dept. of OR, Ulm, D-89069 , Germany (rieder@mathematik.uni-ulm.de)
- We consider Markov Decision Processes with two decision makers. At first, we intgroduce two methods of reducing the decentralized problem to a centralized one. Then we derive monotonicity results for a centralized queueing problem by means of the reduced models.
- MC25.3
Majorization Orders of Weighted Trees & Dependence Comparisons of Correlated Queues Haijun Li, Susan Xu --- Washington State Univ., Dept. of Math., St. Louis, MO 63130 , ()
- We study dependence structures of a multiserver queue whose input process is a multivariate, correlated compound renewal process. We view parameters of the input process as a weighted tree and introduce several majorization orders among weighted trees. We show that majorization orders imply correlation orders of various performance vectors in difference senses. Our results are useful to establish performance bounds for the parallel, correlated GI/G/1 system whose exact analysis is intractable.
- MC25.4
Submodular Returs & Greedy Heutistics for Queueing Scheduling Programs Kevin D. Glazebrook --- Univ. of Newcastle, Dept. of Stats., Newcastle Upon Tyne, NE1 7RU , UK (kevin.glazebrook@newcastle.sc.uk)
- We consider a class of controlled stochastic systems in which one of the key issues is the determination of which subset of all possible demand (job, customer) types will be allowed access to the system. Under stated assumptions the optimum system-wide performance is a nondecreasing submodular function of the subset chosen. These results motivate the use of greedy heuristics for the solution of a range of job selection and scheduling problems.
Queueing Issues II
Session: MC27
Date/Time: Monday 13:00-14:30
Type: Contributed
Sponsor:
Track:
Cluster:
Room: St. Michel
Chair: Nadim Abboud
Chair Address: American Univ. of Beirut, Fac. of Eng. & Architecture, Box 11-0236, Beirut, , Lebanon
Chair E-mail: neabboud@aub.edu.lb
- MC27.1
withdrawn - author request of 4/4 Hongtao Zhang --- HKUST, Dept. of ISMT, Clear Water Bay, Kowloon, , Hong Kong (imhzhang@ust.hk)
- MC27.2
withdrawn - author request of 2/27 Sun Hur, Seung-Jin Paik --- Hanyang Univ., Dept. of IE, Ansan Kyunggi-do, 425-791 , Korea (hursun@email.hanyang.ac.kr)
- MC27.3
A Regenerative-Based Algorithm for Closed Queueing Networks with Exponential Servers Nadim Abboud, Amal S. Abou Nehme Sawaya --- American Univ. of Beirut, Fac. of Eng. & Architecture, Box 11-0236, Beirut, , Lebanon (neabboud@aub.edu.lb)
- Using potentials from Markov chain theory and elementary results from regenerative processes, a new algorithm is developed to compute the expected number of entities at each node of a closed queueing network with exponential servers and Markov routing. The performance of the algorithms is compared to Buzen's and mean value analysis algorithms.
- MC27.4
Analysis of Erlang Transfer Lines Nebahat Donmez, Cemal Dincer --- Bilkent Univ., IE Dept., Ankara, 06533 , Turkey (nebahat@bilkent.edu.tr bilkent.edu.tr/~nebahat)
- Transfer lines literature is mostly devoted to the analysis of lines with exponential processing times. We propose a solution for the performance measures of a reliable transfer line with n machines with k-Erlang processing times and finite buffers where arrivals are Poisson. A program in C is coded for the exact solution for utilization, mean throughput, expected WIP and variance of WIP.
Research Techniques & Project-Based Instruction
Session: MC28
Date/Time: Monday 13:00-14:30
Type: Sponsored
Sponsor: Forum on Education
Track:
Cluster:
Room: Mont Royal
Chair: Ellen S. Jordan, Ruth A. Maurer
Chair Address: Tiffin Univ., 155 Miami Street, Tiffin, OH 44883 ,
Chair E-mail: ejordan@tiffin.edu
- MC28.1
Research Techniques & Project-Based Instruction Ellen S. Jordan, Ruth A. Maurer --- Tiffin Univ., 155 Miami Street, Tiffin, OH 44883 , (ejordan@tiffin.edu)
- Project-based teaching is an excellent method for presenting the basis of good research technique. The discovery of the breadth, depth and application of subject area will be shown to result from project-based instruction, using examples. Ellen Jordan will present a health care project done in this Format, and Ruth Maurer will present the Walden University approach to the process of learning.
Topics in Airline Revenue Management
Session: MC29
Date/Time: Monday 13:00-14:30
Type: Sponsored
Sponsor: Aviation Applications Section
Track:
Cluster:
Room: Hampstead
Chair: E. Andrew Boyd
Chair Address: PROS Strategic Solutions, 3223 Smith, Ste. 100, Houston, TX 77006 ,
Chair E-mail: boyd@prosx.com
- MC29.1
Overbooking with Substitutable Inventory Classes Garrett van Ryzin, Itir Karaesman --- Columbia Univ., 412 Uris Hall, NYC, NY 10027 , (givl@columbia.edu)
- In several yield management applications (e.g. hotel and car rentals), bookings are made for multiple inventory classes (e.g. compact/mid-size/full-size cars or economy/deluxe rooms), and there is a possibility to accommodate overbookings in one class with inventory from another class. We analyze a general model of overbooking that allows such substitution and propose efficient computational techniques.
- MC29.2
Distressed Inventory: The Managing of Internet Offerings Surain Adyanthaya --- PROS Strategic Solutions, 3223 Smith St., Ste. 100, Houston, TX 77006 , (adyanthaya@prosx.com)
- Last minute ticket offers via the Internet are becoming an important means for the sale of inventory that would otherwise go unused. The increasing popularity of the Internet broadens the revenue potential of these types of offerings; however, the theory used to manage them is still not well developed. Current approaches to control of distressed inventory will be reviewed...
- MC29.3
Passenger Demand & Seasonality: A Revenue Management Perspective Jacques Cherrier --- Air Canada, POB 14000 Postal Station, Saint-Laurent, Montreal, Quebec, H4Y 1H4 , Canada ()
- Effective revenue management must be built on accurate passenger demand forecasting. We will describe Air Canada's recent experiences with special emphasis on the handling of seasonality in the historical data. Practical recommendations will be suggested to enhance the ability of the yield management personnel to deal with market realities.
- MC29.4
Air Cargo Revenue Management E. Andrew Boyd, Shankar Sivaramakrishnan --- PROS Strategic Solutions, 3223 Smith, Ste. 100, Houston, TX 77006 , (boyd@prosx.com)
- A model for the air traffic revenue management problem is presented, and model variations are discussed. Computational results are presented.
Session Withdrawn
Session: MC30
Date/Time: Monday 13:00-14:30
Type: Sponsored
Sponsor: Aviation Applications Section
Track:
Cluster:
Room: Fundy
Chair: William Colligan
Chair Address: CSSI Inc., 1250 Maryland Ave. SW, Ste. 520, Washington, DC 20024 ,
Chair E-mail: wcolligan@cssiinc.com
- MC30.1
withdrawn - chair request of 3/12 Stephane Mondoloni --- CSSI Inc., 1250 Maryland Ave. SW, Ste. 520, Washington, DC 20024 , (smondolini@cssiic.com)
- MC30.2
withdrawn - chair request of 3/12 Willie Weiss --- CSSI Inc., Suite 520, 1250 Maryland Av., S.W., Washington, DC 20024 , (wweiss@cssiinc.com)
- MC30.3
withdrawn - author request of 3/12 William Colligan --- CSSI Inc., 1250 Maryland Ave. SW, Ste. 520, Washington, DC 20024 , (wcolligan@cssiinc.com)
Logistics-Supply Chains
Session: MC32
Date/Time: Monday 13:00-14:30
Type: Contributed
Sponsor:
Track:
Cluster:
Room: Frontenac
Chair: Bhaba R. Sarker
Chair Address: LA State Univ., Dept. of IE, Baton Rouge, LA 70803-6409,
Chair E-mail: bsarker@unixl.sncc.lsu.edu
- MC32.1
What is Supply Chain Management? Yasemin Aksoy, Murat Bayiz --- Tulane Univ., Freeman Sch. of Bus., New Orleans, LA 70118-5669, (yaksoy@freeman.tulane.edu)
- For SCM researchers, the highlight of the INFORMS Dallas meeting was the question posed by many of their friends.
- MC32.2
Component Commonality in Supply Chains: Optimizing Inventory Levels & Allocation Ajay K. Mishra, Prakash Mirchandani --- Univ. of Pittsburgh, Katz Grad. Sch. of Bus., Pittsburgh, PA 15260 , (mishra+@pitt.edu)
- We study two-stage assemble-to-order systems in which multiple products having stochastic demand share multiple common components. Our stochastic programming formulation computes component inventory levels and their allocation to products for satisfying product-specific service levels. We discuss the problem structure, solution properties, and report computational results for large problems.
- MC32.3
Positioning Safety Stocks in a Convergent Supply Chain with Budgetary Constraint Prakash Mirchandani, Ajay K. Mishra --- Univ. of Pittsburgh, Katz Grad. Sch. of Bus., Pittsburgh, PA 15260 , (pmirchan+@pitt.edu)
- Downstream safety stock positioning improves product service level but increases the holding cost and decreases flexibility to respond to demand uncertainties. Analytical studies, with restrictive assumptions, and simulations studies made contradicting recommendations on optimal safety stock location. We study this problem, with a budget constraint, in a multi-level assembly system.
- MC32.4
Modeling a Production-Delivery System in a Supply Chain System Gyana R. Parija, Bhaba R. Sarker --- IBM, 522 South Rd., Poughkeepsie, NY 12601-5400, ()
- The production and delivery of finished goods are influenced by demand pattern of the existing product with respect to other competing markets. This paper develops a model that incorporates the life cycle behavior of a product in a typical supply chain system. The model is interpreted in the context of electronics products.
Finance II
Session: MC33
Date/Time: Monday 13:00-14:30
Type: Contributed
Sponsor:
Track:
Cluster:
Room: St. Lambert
Chair: Alan Brandyberry
Chair Address: Grand Canyon Univ., Coll. of Bus., 3300 W Camelback Rd., Phoenix, AZ 85017 ,
Chair E-mail: abrandyb@grand-canyon.edu
- MC33.1
On the Identification of Groups Among Firms in the Czech Voucher Privatization Auctions Alan Brandyberry, Joel T. Harper --- Grand Canyon Univ., Coll. of Bus., 3300 W Camelback Rd., Phoenix, AZ 85017 , (abrandyb@grand-canyon.edu)
- We explore commonalities among involved firms resulting in their value relative to initial pricing in the auction system utilized in the Czech privatization process. Discriminant and cluster analysis are employed to determine discriminating variables among hypothesized groups and to explore other possible group sets in the 988 privatized firms.
- MC33.2
Risk Allocation for Government Privatization Mark A. Robershotte --- Battelle Pacific Northwest Lab., 902 Battelle Blvd., PO Box 999 MSIN A0-21, Richland, WA 99352 , (mark.robershotte@pnl.gov)
- To reduce costs, government entities are considering various forms of privatization. The DOE's expensive nuclear tank waste clean-up is one. For contractors to obtain private financing, an equitable and appropriate risk allocation is required. This paper details the risk allocation modeling and analysis experience from the Hanford, WA project.
- MC33.3
Optimization in Financial Engineering Ilan Adler --- Univ. of CA, IE/OR Dept., Berkeley, CA 94720 , (adler@ieor.berkeley.edu)
- I will present optimization models to detect arbitrage opportunities using a variety of financial derivatives. Theoretical, practical and computational aspects of the models will be discussed.
Software Demonstrations
Session: MC34
Date/Time: Monday 13:00-14:30
Type:
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Cluster:
Room: Westmount
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- MC34.1
Software Demonstration: Analytica & Crystal Ball Ben Bouillion --- Decisioneering, 1515 Arapahoe St., Ste. 1311, Denver, CO 80231 , (customerservice@decisioneering.com)
- Decisioneering has 3 main product lines: Crystal Ball, Crystal Ball Pro and Analytica. Crystal Ball picks up where Microsoft Excel spreadsheets end by giving you the ability to perform Monte Carlo analysis on spreadsheet models. Crystal Ball Pro's Optquest technology provides an evolutionary step to this process by determining the optimal choice for a given business decision based on multiple Crystal Ball simulations...
- MC34.2
Software Demonstration: Introducing DPL 4.0 - Decision Analysis Software Dan Smith --- Applied Decision Analysis, 2710 Sand Hill Rd., Menlo Park, CA 94025-7020, (philb@adainc.com)
- DPL is the professional DA software using influence diagrams, decision trees and spreadsheets. Graphical outputs include Rainbow Diagrams, Tornado Diagrams, Risk Profiles, Policy Trees and Policy Summaries. New in DPL 4.0: A new Win95 interface, strategy tables, graphical value of perfect information and control, and more!
Decision Support Systems I
Session: MC35
Date/Time: Monday 13:00-14:30
Type: Contributed
Sponsor:
Track:
Cluster:
Room: St. Leonard
Chair: Q. B. Chung
Chair Address: La Salle Univ., Mgmt. Dept., 1900 W Olney Ave., Philadelphia, PA 19141-1199,
Chair E-mail: chung@lasalle.edu
- MC35.1
Influence of Software on Decision Strategies: A Case of an Intelligent Modeling Environment Q. B. Chung, Robert M. O'Keefe, Thomas R. Willemain --- La Salle Univ., Mgmt. Dept., 1900 W Olney Ave., Philadelphia, PA 19141-1199, (chung@lasalle.edu)
- Knowledge-based model management systems can free decision makers from mathematical details of the problem so that they can focus on 'strategizing' the solution process. In an experiment designed to capture and analyze the decision makers strategies, we found that the characteristics of software affect the user's decision making approach and performance.
- MC35.2
The Effect of Advanced Information Technologies on Organizational Design, Intelligence & Decision Making Reza Torkzadeh, Xenophon Koufteros --- Univ. of TX, IDS Dept., Coll. of Bus., El Paso, TX 79968-0544, (reza@utep.edu)
- Based on organizational communication and IS research, Huber (1990) set forth 14 propositions for the effects of computer-assisted communication, computer-assisted information storage and acquisition and decision-aiding technologies of organizational design, intelligence and decision making. We empirically examine these 14 propositions. IS executives and managers of 49 firms were surveyed.
- MC35.3
The Impact of DSS Use on Decision Performance Dominique Blain --- Univ. du Quebec a Montreal, 1619 St-Christophe, Montreal, Quebec, H2L 3W7 , Canada (k25674@er.uqan.ca)
- Do decision-makers who use DSSs make better decisions than those who do not? How do individual characteristics and system characteristics affect the quality of decision making? We present an empirical study that addresses these questions.
- MC35.4
withdrawn - author request of 3/3 Ying-Hueih Chen, Gregory E. Kersten --- Carleton Univ., Sch. of Bus., 1125 Colonel By Dr., Ottawa, Ontario, K1S 5B6 , Canada (yhchen@business.carleton.ca)
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Performance Evaluation & Design of Telecommunication Networks
Session: MC38
Date/Time: Monday 13:00-14:30
Type: Sponsored
Sponsor: TST
Track:
Cluster:
Room: Outremont
Chair: Indranil Bose
Chair Address: Univ. of TX, Arlington, TX 76019-0437,
Chair E-mail: bose@uta.edu
- MC38.1
A Lagrangian Dual-Based Algorithm for Capacitated Survivable Network Design Problems Varadharajan Sridhar, June S. Park, Bezalel Gavish --- OH Univ., 197 RTVC, Sch. of CSM, 9 S College St., Athens, OH 45701-2979, (sridhar@ouvaxa.cats.ohiou.edu)
- We study the capacitated survivable network design problems under a single node or link failure. The objective is to minimize the fixed cost of links to meet performance and connectivity requirements. The problem is modeled as 0/1 nonlinear integer program. Lagrangian dual-based solution procedure is used to solve the problem.
- MC38.2
Use of GIS Tools in Telecommunication Network Design & Modification Rakesh Gupta, Hasan Pirkul --- OK State Univ., Dept. of Mgmt., Stillwater, OK 74078 , (rgupta@okway.okstate.edu)
- We present and evaluate a tool based on GIS concepts for the design and modification of centralized networks. We present a functional visual interactive tool for such tasks and demonstrate its usefulness in a design task. Designs obtained via this tool are seen to compare favorably with those obtained by a stand-alone heuristic.
- MC38.3
Interval QoS Routing for Multipoint Internet Teleconferencing Alexander B. Bordetsky, Boris Peltsverger --- CA State Univ., Telecomm. & Collab. Tech., Hayward, CA 94542 , ()
- Recent advances in MBone technology provide rich background for support of multiparty communications in virtual management and design teams. We propose the model of QoS routing that is based on the interval adaptation of multicast delivery trees according to the application and individual user communication profiles.
- MC38.4
A Tabu Search Heuristic for the Steiner Tree Problem Jean-Francois Larochelle, Michel Gendreau, Brunilde Sanso --- Ecole Polytech. of Montreal, GERAD, Math. & IE Dept., 3000 ch. Cote-Ste-Catherine, Montreal, Quebec, H3T 2A7 , Canada (jeanfran@crt.umontreal.ca)
- We present a TS algorithm for the Steiner tree problem in graphs with a continuous diversification and a path diversification. Computational results on the benchmark problems of the OR-Library, for which optimal solutions are known, are compared to the genetic algorithm of Esbensen and the chunking genetic algorithm of Voss and = Gutenschwager.
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Congestion Pricing & Continuous Time Models
Session: MD01
Date/Time: Monday 14:45-16:15
Type: Sponsored
Sponsor: TSS & IFORS
Track:
Cluster:
Room: St. Laurent
Chair: Jia Hao Wu
Chair Address: Univ. of Montreal, CRT, CP 6128, Succ. Centre-ville, Montreal, Quebec, H3C 3J7 , Canada
Chair E-mail: wujiahao@crt.umontreal.ca
- MD01.1
A Decomposition Method for Congestion Toll Pricing Donald W. Hearn, Motakuri V. Ramana, Mehmet B. Yildirim --- Univ. of FL, Ctr. for Applied Opt., ISE Dept., 303 Weil Hall, Gainesville, FL 32611 , (hearn@ise.ufl.edu)
- The problem of identifying a congestion toll pricing vector which causes the user optimal solution of a traffic assignment problem to be system optimal has been identified as a large-scale optimization problem with linear constraints. In this talk we describe a Benders decomposition method for the problem of minimizing total toll costs to all users. Computational results will be presented.
- MD01.2
Analytical & Applicative Framework for Spillback Congestion Modeling in the Continous Time-Link-Based Dynamic Network V. Adamo, Vittorio Astarita, Jia Hao Wu, Michael Mahut, Michael A. Florian --- Univ. of Calabria Cosenza, Dipt. di Ing. dei Tras., Fac. di Ing. Via Claudio 21, Napoli, , Italy (torrieri@ds.unina.it)
- An analytical framework for modelling spillback on the network in link based continuous time models is presented together with some simple solved examples and a simulation procedure for the full network representation. The spillback of congestion on a network is the propagation of congestion back from one link to another and occurs when the links have no space for incoming vehicles. The analytical framework presented provides a way to adjust existing models in order to take into account this complicated phenomena.
- MD01.3
Continuous Time-Dependent Shortest Trail Problem with Turn Policies: Model, Algorithm & Parallel Implementation Under the PVM Environment Yiwen Xu, Jia Hao Wu, Michael A. Florian --- Univ. of Montreal, CRT, CP 6128, Succ. Centre-ville, Montreal, Quebec, H3C 3J7 , Canada (yiwen@crt.umontreal.ca)
- We define and formulate the time-dependent shortest trail problem with turn penalties in a road network. We develop an algorithm to solve the problem with the stability condition, that is, the FIFO condition. And we present an implementation of the algorithm in a distributed computer network with the PVM (Paralle Virtual Machine) environment where turn penalties are considered. Computational results for real large networks in the PVM environment are reported.
- MD01.4
An Efficient Algorithm for the Continuous Network Loading Problem: A Dynaload Implementation Yiwen Xu, Jia Hao Wu, Michael A. Florian --- Univ. of Montreal, CRT, CP 6128, Succ. Centre-ville, Montreal, Quebec, H3C 3J7 , Canada (yiwen@crt.umontreal.ca)
- The continuous network loading problem consists in determining, on a congested network, time-dependent arc volumes, together with arc and path travel times, given the time varying path (departure) flow rates over a finite time horizon. This problem constitutes an intrinsic part of the dynamic traffic assignment problem. In this paper, we present a modified DYNALOAD algorithm for the problem. An efficient implementation is developed. Numerical examples are provided.
Computer Science & Transportation Science II
Session: MD02
Date/Time: Monday 14:45-16:15
Type: Sponsored
Sponsor: TSS & IFORS
Track:
Cluster:
Room: Bersimis
Chair: Jaime Barcelo
Chair Address: Polytech. Univ. of Catalunya, Dept. of Stats & OR, Pau Gargallo 5, Barcelona, E-08028 , Spain
Chair E-mail: barcelo@eio.upc.es
- MD02.1
withdrawn - author request of 3/6 Der-Horng Lee, Bin Ran, Seongil Shin --- Univ. of CA, Inst. of Trans. Studies, 523 Social Sci. Tower, Irvine, CA 92697-3600, (dhlee@translab.its.uci.edu)
- MD02.2
Discretized Deterministic Dynamic User Equilibrium Models & Optimal Control Formulations E. Codina, Jaime Barcelo --- Polytech. Univ. of Catalunya, Dept. of Stats. & OR, Pau Gargallo 5, Barcelona, E-08028 , Spain ()
- In a previous paper the authors presented a discretized model for dynamic user equilibrium on traffic networks with a finite difference approximation to the simple continuum model. This paper analyzes the connection between this model and discretized optimal control problems on traffic networks also developed to model dynamic user and system equilibrium with special emphasis on the role of congestion as a factor on the consistency of the discrete approximations of the optimal control models.
- MD02.3
A Flow-Based Approach to Dynamic Traffic Assignment Ismail Chabini, Yiyi He --- MIT, 77 Massachusetts Ave., Room 1-263, Cambridge, MA 02139 , (chabini@mit.edu)
- We present a flow based approach to dynamic traffic assignment. The approach contains four components; a user behaviour component, a link performance component, a dynamic network loading component and a dynamic shortest paths component. The approach is general. We illustrate it by showing a model that supports ITS applications. We present efficient solution algorithms. Results show that these algorithms can solve realistic network problems faster in real-time.
Air Traffic Management
Session: MD03
Date/Time: Monday 14:45-16:15
Type: Sponsored
Sponsor: TSS
Track:
Cluster:
Room: Gatineau
Chair: Michael O. Ball
Chair Address: Univ. of MD, Coll. of Bus. & Mgmt., College Park, MD 20742-1815,
Chair E-mail: mball@mbs.umd.edu
- MD03.1
Collaborative Decision Making Models for Air Traffic Management Mike Wambsganss, Michael O. Ball, Amedeo Odoni --- Metron Inc., 11911 Freedom Dr., Ste. 800, Reston, VA 22090-5602, (wambsganss@metsci.com)
- A new set of procedures for computing ground delay programs based on collaborative decision making is being implemented within the US jointly by the airlines and the Federal Aviation Administration. We discuss the models and tools underlying these procedures and describe several related research questions.
- MD03.2
Collaborative Command & Control for Strategic Airlift Thomas Mifflin --- Metron, 11911 Freedom Drive, Ste. 800, Reston, VA 20190-5602, ()
- In the future, US strategic airlifts will increasingly rely upon the commercial sector. The purpose of DARPA's Virtual Airline project is to develop technology so that the Air Mobility Command can exercise collaborative command and control with air carriers. We present an overview of the project along with results from a model that quantifies the benefits of the Virtual Airline approach.
- MD03.3
Optimal Rerouting of Air Traffic Flow Dimitris Bertsimas, Sarah A. Stock --- MIT, Sloan Sch. of Mgmt., OR Ctr., E53-359, Cambridge, MA 02139 , (dbertsim@aris.mit.edu)
- We address the problem of optimally rerouting aircraft in the presence of severe weather. Using a combination of optimization metholologies (integer programming, dynamic multicommodity network flows and decomposition techniques), we solve large scale realistic size problems fast. We used real data that we obtained from the FAA and Euro-Control.
- MD03.4
Efficient Solution of a Stochastic Ground Holding Model Robert L. Hoffman, Ryan Riffkin, Michael O. Ball, Amedeo Odoni --- Univ. of MD, Applied Math. Program, Inst. for Systems Research, College Park, MD 20742 , ()
- The determination of the number of flights to allow entry into the airspace of a congested airport is of importance in the computation of ground delay programs. When a distribution of possible weather scenarios is considered, this becomes stochastic optimization problem. We present an integer programming formulation and show its constraint matrix is totally unimodular.
Inventory Management II
Session: MD04
Date/Time: Monday 14:45-16:15
Type: Contributed
Sponsor:
Track:
Cluster:
Room: Harricana
Chair: Margaret K. Schaefer
Chair Address: Coll. of William & Mary, Dept. of Math., Williamsburg, VA 23187-8795,
Chair E-mail: mkscha@math.wm.edu
- MD04.1
A Multi-Period Profit Maximizing Model for Retail Supply Chain Management Sudip Bhattacharjee, R. Ramesh --- SUNY, 310 C Jacobs Mgmt. Ctr., Buffalo, NY 14260 , (bhats@acsu.buffalo.edu)
- We present 2 efficient solution methods for a multi-period inventory and pricing model for a single product with fixed life perishability. Wagner-Whitin DP recursions are developed and structural properties of the model investigated. Results are within 71-91% within optimum benchmark values, at fractional computational costs.
- MD04.2
Capital Investment Decisions in the Management of Rental Equipment Sergei V. Savin, Morris A. Cohen, Ziv Katalan, Noah F. Gans --- Univ. of PA, OPIM Dept., The Wharton Sch., 1300 SH-DH, 3620 Locust Walk, Philadelphia, PA 19104 , (savin@opim.wharton.upenn.edu)
- Rental and leasing businesses must determine appropriate quantities of equipment to stock to serve demand that varies randomly over time. Often these companies are able to dynamically respond to demand fluctuations by buying and selling equipment. We propose a model for finding effective buying and selling policies.
- MD04.3
The Videotape Rental Inventory Problem Margaret K. Schaefer --- Coll. of William & Mary, Dept. of Math., Williamsburg, VA 23187-8795, (mkscha@math.wm.edu)
- We consider the problem faced by a videotape rental outlet manager of deciding how many copies of first-run movies to order. We apply the theory of repairable spares inventories to this problem, trading off lost sales and holding costs, and use real data to predict demand and test the model.
Supply Chain Management in the Computer Industry
Session: MD05
Date/Time: Monday 14:45-16:15
Type: Sponsored
Sponsor: MSOM
Track:
Cluster:
Room: Grand Salon
Chair: Gerry Feigin
Chair Address: IBM, TJ Watson Research Ctr., PO Box 218, Yorktown Heights, NY 10598 ,
Chair E-mail: feigin@us.ibm.com
- MD05.1
Analytical Modeling: A Key Element of Demand & Supply Chain Management Raja G. Petrakian --- Xilinx Inc., 1072 Church St., Mountain View, CA 94041 , (raja.petrakian@xilinx.com)
- Managing the demand and technology uncertainty that characterizes the semiconductor industry is made easier by the use of quantitative and statistical models. These models are embedded into systems that are deployed in key corporate business processes such as demand forecasting, technology prediction, production planning, inventory management and capacity planning.
- MD05.2
Simulation of a DRAM Production Supply Chain Kaan Katircioglu, Gerry Feigin --- IBM, TJ Watson Research Ctr., PO Box 218, Yorktown Heights, NY 10598 , (kaan@watson.ibm.com)
- We describe a detailed simulation of a DRAM production supply chain from raw wafer through SIMM assembly. The simulation has been used to analyze the impact of production and inventory policies, cycle times, yields and demand variability on inventories and service levels.
- MD05.3
Collaborative Supply Chain Synchronization Kumar Bhaskaran, Daniel Connors, Terry Heath, Nitin Nayak --- IBM, TJ Watson Research Ctr., PO Box 218, Yorktown Heights, NY 10598 , (bha@us.ibm.com)
- Supply chains transcend functional, organizational and enterprise boundaries. Synchronization of supply chains, in practice, is a collaborative exercise that engages material, capacity, production and demand planners across a multi-tiered manufacturing network to balance supply and demand. We introduce a supply chain planning system that facilitates such collaborative supply chain synchronization.
Panel: Teaching Service Operations
Session: MD06
Date/Time: Monday 14:45-16:15
Type: Sponsored
Sponsor: MSOM
Track:
Cluster:
Room: Richelieu
Chair: Patrick T. Harker
Chair Address: Univ. of PA, OPIM Dept., Wharton Sch., 1300 SH-DH, 3620 Locust Walk, Philadelphia, PA 19104-6366,
Chair E-mail: harker@wharton.upenn.edu
- MD06.1
Panel: Teaching Service Operations Patrick T. Harker --- Univ. of PA, OPIM Dept., Wharton Sch., 1300 SH-DH, 3620 Locust Walk, Philadelphia, PA 19104-6366, (harker@wharton.upenn.edu)
- What is different between manufacturing and service OM? Why not teach these topics in the core OM course? What are the fundamental concepts that should be included in this course? Three well-known scholars will present their views, followed by a debate from the audience.
Capacity Reservation & Pricing Systems
Session: MD07
Date/Time: Monday 14:45-16:15
Type: Sponsored
Sponsor: MSOM
Track:
Cluster:
Room: Matapedia
Chair: Michael L. Pinedo, Sridhar Seshadri
Chair Address: NYU Stern Sch. of Bus., OR Dept., Tisch Hall, 40 W 4th St., Ste. 7-08, New York, NY 10012-1118,
Chair E-mail: mpinedo@stern.nyu.edu
- MD07.1
Capacity Reservation & Allocation Strategies for Customers with Time Preferences Vipul Agrawal, Michael L. Pinedo, Sridhar Seshadri --- NYU, OP, Stats. & OR Dept., 40 W 4th St., Ste. 701B, New York, NY 10012 , (vagrawal@stern.nyu.edu)
- We study pricing and allocation mechanisms for allocating capacity slots to customers over a fixed time horizon. The customers may assess different values for different time slots. We analyze the effect of customers' demand uncertainty and value distribution, and existence of an after-market on the expected profit maximization (of the seller) and system welfare.
- MD07.2
Role of Pricing & Yield Management in Fabless-Foundry Partnerships Arun Chatterjee, Raman Nurani, Sridhar Seshadri, J. George Shanthikumar --- KLA-Tencor Corp., San Jose, CA 95161 , (arun.chatterjee@kla-tencor.com)
- In the semiconductor industry, the fabless-foundry partnership business is expected to reach $68 billion by the end of this century. We present game theoretic models to emphasize the importance of pricing and yield management in establishing successful partnership between fabless firms and wafer foundries and some field observations.
- MD07.3
Inspection Strategies for Multistage Production Systems with Time-Varying Quality Michael H. Veatch --- Gordon Coll., Dept. of Math., Wenham, MA 01984 , (veatch@gordonc.edu)
- The decision of whether to do sampling inspection of incoming material, or other inspections, is addressed in a multistage cost-of-quality model. Sampling is relevant because the defect rate varies randomly. The model is applied to a Kodak printer for digital photographs.
- MD07.4
Interval Scheduling with Jobs Requiring Multiple Machines Andrew Feldman, Michael L. Pinedo --- Columbia Univ., Dept. of IE/OR, New York, NY 10027 , (andrew@ieor.columbia.edu)
- Consider m machines in paralledl. Job j has a processing time, a release date, and a due date: there is no slack. Job j needs m_j machines for its processing. We present algorithms for this problem setting that minimizes various objective functions.
Some Product Development Issues
Session: MD08
Date/Time: Monday 14:45-16:15
Type: Sponsored
Sponsor: Technology Management Section
Track:
Cluster:
Room: Chaudiere
Chair: Dundar F. Kocaoglu
Chair Address: Portland State Univ., Eng. Mgmt. Program, 1900 SW 4th Ave., Portland, OR 97201 ,
Chair E-mail: kocaoglu@emp.pdx.edu
- MD08.1
Building Environmental Issues into a Firm's Product Life Cycles Louis Lefebvre, Elisabeth Lefebvre --- Ecole Polytech. of Montreal, Dept. of IE, PO Box 6079, Sta. Centre-ville, Montreal, Quebec, H3C 3A7 , Canada (lefebvrl@cirano.umontral.ca)
- This presentation looks into the conceptual dimensions related to the integration of environmental issues into firm's product life cycles. A critical examination of some of the associated benefits is also presented along with the motivations that incite firms to adopt an environmentally friendly behavior.
- MD08.3
A Unified Framework for Multimedia Applications Development K. R. S. Murthy, Peter K. Ghavami, Chaya Yerrapragada, David M. Raffo --- Virtual Think Tank, 4474 Macbeth Circle, Fremont, CA 94538 , (murthy@geninet.com)
- Applications and systems development involve multiple disciplines. Multiple dependencies among multiple disciplines can effect the development time of the overall product. While some approaches in practice treat each phase in development to start after the previous is completed; others attempt starting subsequent phases before the completion of the previous phase.
Information Processing & Knowledge Flows in New Product Development
Session: MD09
Date/Time: Monday 14:45-16:15
Type: Sponsored
Sponsor: Technology Management Section
Track:
Cluster:
Room: St. Charles
Chair: Anil Khurana
Chair Address: Boston Univ., Sch. of Mgmt., 595 Commonwealth Ave., Boston, MA 02215 ,
Chair E-mail: akhurana@bu.edu
- MD09.1
Information Flows & Prototyping in Automotive Body Development: Toyota vs. Big-3 James I. Morgan, Steven D. Eppinger, Jeffrey Liker, David E. Whitney --- Univ. of MI, IOE Dept., Ann Arbor, MI 48109 , ()
- Body development is the most expensive and longest lead-time step in automotive product development. This presentation will compare and contrast the approaches of Toyota and typical Big-3 automakers to prototyping in development automotive body development.
- MD09.3
Platforms in Product Family Development Viswanathan Krishnan --- Univ. of TX, Mgmt. Dept., CBA 4.202, Austin, TX 78712 , ()
- We study the appropriateness of platforms in product family development. We find that platforms are most appropriate for intermediate levels of customer diversity, while an individual-product based approach for extreme levels of customer diversity. We also show the platforms make products accessible to more of the lower-end market segment.
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Tutorial: Parallel Computing
Session: MD19
Date/Time: Monday 14:45-16:15
Type: Invited
Sponsor:
Track:
Cluster:
Room: Duluth
Chair: Teodor Gabriel Crainic
Chair Address: Univ. of Montreal, CRT, CP 6128, Succ. Centre-ville, Montreal, Quebec, H3C 3J7 , Canada
Chair E-mail: theo@crt.unmontreal.ca
- MD19.1
Tutorial: Parallel Computing Stavros A. Zenios --- Univ. of Cyprus, Sch. of Econ. & Mgmt., 75, Kallipoleos St. PO Box 537, Nicosia, CY 1678 , Cyprus (zenioss@atlas.pba.ucy.ac.cy | ucy.ac.cy/ucy/pba/zenios/)
- This tutorial will review parallel computing as it applies to problems in OR/MS. We will discuss parallel computing technology, algorithms and applications. Attendees will get a view of what combinations of algorithms and technology have been found to work best on general problem classes.
Tutorial: Operations Research & AIDS Policy Modeling
Session: MD20
Date/Time: Monday 14:45-16:15
Type: Invited
Sponsor:
Track:
Cluster:
Room: Marquette
Chair: Sophie D. Lapierre
Chair Address: Ecole Polytech., CRT, CP 6128, Succ. Centre-ville, Montreal, Quebec, H3C 3A7 , Canada
Chair E-mail: sophiel@crt.umontreal.ca
- MD20.1
Tutorial: Operations Research & AIDS Policy Modeling Margaret L. Brandeau --- Stanford Univ., IE-EM Dept., Terman Bldg., Stanford, CA 94305-4024, (brandeau@stanford.edu | soe.stanford.edu/ieem/faculty/brandeau.html)
- This tutorial describes how OR techniques can lead to improved decision making for HIV prevention and improved treatment of those who are infected. We present a number of models, covering a range of application areas and methodologies, to illustrate the use and potential of OR in this area.
Issues in Logistics
Session: MD21
Date/Time: Monday 14:45-16:15
Type: Sponsored
Sponsor: College on Simulation
Track:
Cluster:
Room: Cote St. Luc
Chair:
Chair Address:
Chair E-mail:
- MD21.1
A Truck Repositioning Problem Hossam Zaki --- The SABRE Group, 4255 Amon Carter Blvd., MD 4311, Ft. Worth, TX 76155 , ()
- We describe the basic components of a truck repositioning problem for the one-way consumer rental business. Challenges encountered in demand forecasting and optimization model formulation will also be discussed.
- MD21.2
Simulation Methods for Route Reliability Analysis Michael A. Zeimer --- Schneider Logistics, Inc., 3101 S Packerland Dr., PO Box 2666, Green Bay, WI 54306-2666, (zeimerm@schneider.com)
- Often route designers build routes without regard to variation in travel times, stop times, and pick-up/delivery quantities or use intuition to design reliable routes by being unnecessarily conservative with vehicle capacities and road speeds. The results are routes that do not adequately balance cost and reliability. We describe simulation methods that can be used to design routes that are reliable and efficient.
- MD21.3
Estimating Delivery & Pickup Activity Times Xinglong Zhang, H. Donald Ratliff --- GA Inst. of Tech., Sch. of ISyE, 765 Ferst Dr., Atlanta, GA 30332-0205, (xzhang@isye.gatech.edu)
- For delivery and pickup operations, the fundamental activities are driving between customer locations and stopping at customer sites to make deliveries or pickups. In order to guarantee reasonable workloads for drivers and to meet promised delivery windows, it is necessary to have good estimations of the times associated with these activities...
- MD21.4
Inbound Supply Chain Management for JIT Manufacturing Kirk Baumgartner, Rajesh Dontula, Todd Tillinghast --- SABRE Tech. Solutions, 4255 Amon Blvd., MD 4376, Ft. Worth, TX 76155 , (kirk_baumgartner@sabre.com)
- We describe an integrated suite of planning and operations systems that support inbound supply chain management for JIT manufacturing. Systems included are route planning, dock schedule planning, fleet size planning, real-time trailer tracking, yard and dock operations management, internal plant conveyance control, and parts visibility through pipeline management.
- MD21.5
Supply Chain Design: Customer Allocation Jarrod D. Goentzel, Paul M. Griffin, H. Donald Ratliff --- GA Inst. of Tech., Sch. of ISyE, 765 Ferst Dr., Atlanta, GA 30332-0205, (goentzel@isye.gatech.edu)
- A common aspect of supply chain design is the allocation of customers to distribution centers. Often direct distance is used as a basis for this decision. We incorporate road networks and route clustering options into a new measure to use in allocation.
Equilibria of Noncooperative Games
Session: MD22
Date/Time: Monday 14:45-16:15
Type: Sponsored
Sponsor: Decision Analysis Society
Track:
Cluster:
Room: Pointe Aux Trembles
Chair: Robert F. Nau
Chair Address: Duke Univ., Fuqua Sch. of Bus., Durham, NC 27708-0120,
Chair E-mail: rnau@mail.duke.edu
- MD22.1
Nash Equilibria Are Superficial Correlated Equilibria Robert F. Nau, Sabrina Gomez, Pierre Hansen --- Duke Univ., Fuqua Sch. of Bus., Durham, NC 27708-0120, (rnau@mail.duke.edu)
- It is well known that the set of correlated equilibrium distributions of a noncooperative game is a convex polyhedron that includes the Nash equilibria. We prove a remarkably simple yet surprising result: that the Nash equilibria must all lie on the surface of the correlated equilibrium polyhedron.
- MD22.2
Nash & Correlated Equilibria of 2- & 3-Persons Games: An Empirical Study Sabrina Gomez, Pierre Hansen, Brigitte Jaumard, Robert F. Nau --- GERAD, , , ()
- The sets of all Nash, correlated, Pareto optimal correlated and coalition proof correlated equilibria of bimatrix and of 3-persons games are studied. It is known that solutions in the last set can give substantially larger payoffs than Nash equilibria.
- MD22.3
An Algorithm for All Extreme Nash Equilibria of Bimatrix Games Charles Audet, Pierre Hansen, Brigitte Jaumard, Gilles Savard --- GERAD & HEC, Polytech. of Montreal, 3000 ch. Cote-Ste-Catherine, Montreal, Quebec, H3T 2A7 , Canada (charlesa@crt.umontreal.ca)
- The extreme equilibria of bimatrix games are enumerated in finite time by a branching scheme that exploits the KKT conditions of 2 pairs of parameterized LP s.
- MD22.4
Correlated Equilibrium & Unilaterally Competitive Games Olivier De Wolf --- Univ. Catholique de Louvain, 25 Cours du Bia Bouquet, Louvain-la Neuve, 1348 , Belgium (dewolf@core.ucl.ac.be)
- We propose to investigate some properties of correlated equilibria in some class of games commonly qualified as competitive. In particular, we show that in these kinds of games (including the n person case), there generally is no incentive for the players to correlate their strategies.
- MD22.5
Extreme Nash Equilibria of Bimatrix Games Are Extreme Correlated Equilibria Pierre Hansen, Sabrina Gomez --- HEC, 3000 Ch Cote-Ste-Catherine, Montreal, Quebec, H3T 2A7 , Canada (pierreh@crt.umontreal.ca)
- Polyhydral combinatorics are used to prove that in bimatrix games all extreme Nash equilibria are extreme correlated equilibria.
Probability Modeling
Session: MD23
Date/Time: Monday 14:45-16:15
Type: Sponsored
Sponsor: Decision Analysis Society
Track:
Cluster:
Room: Jacques Cartier
Chair: Prakash P Shenoy
Chair Address: University of Kansas, School of Business, Summerfield Hall, Lawrence, KS 66045-2003,
Chair E-mail: pshenoy@ukans.edu
- MD23.1
A Simple Approximation for Probabilistic Dependence Among Binary Events Donald L. Keefer --- AZ State Univ., Dept. of Mgmt., Box 4006, Tempe, AZ 85287-4006, (don.keefer@asu.edu)
- We propose a simple model for approximating probabilistic dependence among binary success/failure events. This model requires assessment of just one conditional probability in addition to the n marginals. Extensive numerical tests indicate this model produces much more accurate joint probabilities, expected values and certainty equivalents than widely used approximations.
- MD23.2
Market-Based Belief Aggregation David M. Pennock, Michael P. Wellman --- Univ. of MI, AI Lab., 1101 Beal Ave., Ann Arbor, MI 48109-2110, (dpennock@umich.edu)
- We show how belief aggregation (combining the probabilistic beliefs of the members of a group) can be facilitated through a securities market. Each participant's investment decisions are individually rational; the market's resulting equilibrium represents the group's consensus belief. Similar market infrastructures may aid group decision making and coordination under uncertainty.
- MD23.3
Bayesian Network Models of Portfolio Risk Catherine Shenoy, Prakash P Shenoy --- School of Bus., Summerfield Hall, Lawrence, KS 66045-2003, (cshenoy@ukans.edu)
- We investigate the use of Bayesian networks for modeling portfolio risk, especially financial portfolios that are not well diversified. From the Bayesian network model we obtain a probability distribution of the portfolio return. We compare the variance of this distribution with the variance calculated from a traditional multi-factor model.
Using Probability to Model Risks
Session: MD25
Date/Time: Monday 14:45-16:15
Type: Sponsored
Sponsor: Applied Probability Section
Track:
Cluster:
Room: St. Laurent
Chair: Robin Dillon
Chair Address: Stanford Univ., Dept. of IE, Terman Eng. Center, Stanford, CA 94305 ,
Chair E-mail: dillon@leland.stanford.edu
- MD25.1
On The Meaning & Application of Probability in Risk Assessment Ali Mosleh --- Univ. of MD., Reliability Eng. Prog., Cntr. for Risk Studies, College Park, MD 20742 , (mosleh@eng.umd.edu)
- Depending on the application, type of events involved, availability of relevant information and the risk analyst's preferences and biases, uncertainty about events is expressed in qualitative or quantitative terms. The most popular quantitative measure is probability, although in some cases other measures such as fuzzy metrics have also been used...
- MD25.2
Faster-Better-Cheaper Management of Space Projects: How Successful is It & Likely to Remain? Elisabeth Pate Cornell --- Stanford Univ., Dept. of IE/EM, Terman Eng. Center, Stanford, CA 94305 , (mep@leland.stanford.edu)
- NASA's management of space missions has shifted from larger spacecrafts to smaller missions, to be completed within a tighter schedule and smaller budget. We use probabilistic risk analysis methods and case studies to examine how the projects constraints affect the reliability of the missions and the long-term success of the new m anagement formula.
- MD25.3
Quantifiying the Risk of Uncertain Decision Models Neil Stiber, Paul S. Fischbeck --- Carnegie Mellon Univ., Engineering and Public Policy, Pittsburgh, PA 15213-3890, ()
- Using a dataset of industrial site clean-up histories, a logistics regression model is developed that predicts the probability of site contamination. However, these predicted probabilities are themselves uncertain due to model uncertainty. EVPI is computed for both the site characteristics and the model parameters that predict the probabilities of contamination.
- MD25.4
A Probabilistic Analysis of the Implications of a Worker Exposure Standard Robin Dillon, Detlof von Winterfeldt --- Stanford Univ., Dept. of IE, Terman Eng. Center, Stanford, CA 94305 , (dillon@leland.stanford.edu)
- A recent standard limits utility worker exposures to electromagnetic fields to 10 Gauss. A probabilistic time-and-motion model predicts rare, but consistent exceedances of this standard with current utility worker practices. Mitigation strategies are available, but they have large costs and create additional worker accident risks.
Queueing Issues III
Session: MD27
Date/Time: Monday 14:45-16:15
Type: Contributed
Sponsor:
Track:
Cluster:
Room: St. Michel
Chair: Donald C. McNickle
Chair Address: Brown Univ., Applied Math. Div., Box F, Providence, RI 02912 ,
Chair E-mail: donald@cfm.brown.edu
- MD27.1
Properties of Departure Processes from Simple Queues Donald C. McNickle --- Brown Univ., Applied Math. Div., Box F, Providence, RI 02912 , (donald@cfm.brown.edu)
- Typically output and overflow processes are not independent. We investigate conditions under which the degree of dependence is limited.
- MD27.2
Fluid Versions of Little's Formula & Extensions Muhammad A. El-Taha --- Univ. of Southern ME, Dept. of Math. & Stats., 96 Falmouth St., Portland, ME 04104-9300, (eltaha@usm.maine.edu)
- We provide a sample-path fluid version of Little's formula under weak pathwise conditions. Easy-to-verify sufficient conditions for the FIFO discipline will be given. We also provide a pathwise rate-stable version under conditions that can be verified from input information. Extensions of fluid Little's formula will also be presented.
- MD27.3
Unstable Region for a FIFO Bramson-Type Queueing Network Tao Huang, Karl Sigman --- Columbia Univ., Dept. of IE/OR, New York, NY 10027 , (huang@ieor.columbia.edu | ieor.columbia.edu/~huang)
- We find the sufficient unstable parameter region for a Bramson-type queueing network under the FIFO discipline. It improves the region in Bramson (1994) when there are numerous quick steps in the second server. The region is not empty even where there are only 2 quick steps in the second server. The stable region we have is close to the global region in Dai (1995).
- MD27.4
Production Strategies for Random Yield Processes Scott E. Grasman, John R. Birge, Tava Lennon Olsen --- Univ. of MI, 1807 Willowtree Ln., #4-B8, Ann Arbor, MI 48105 , (grasman@umich.edu | personal.engin.umich.edu/~grasman)
- Moments of queue length, waiting time and delay are derived from a queueing analysis of a single server, multiple item production system with random yield and setups. Production strategies are developed utilizing these moments. Analytical results are compared with simulation.
Undergraduate Project Showcase: Military Service Academies
Session: MD28
Date/Time: Monday 14:45-16:15
Type: Sponsored
Sponsor: Forum on Education
Track:
Cluster:
Room: Mont Royal
Chair: Harry Newton
Chair Address: USAF Academy, 2354 Fairchild Drive, Suite 6D2, USAF Academy, CO 80840 ,
Chair E-mail: newtonhn.dfms@usafa.af.mil
- MD28.1
Undergraduate Project Showcase: Military Service Academies --- ()
- The USAF, CG, Naval, Military Academies, AND the RMC of Canada are invited to select their top Operations Research Projects of the year. Students will present their projects during this showcase event. This event highlights and congratulates the excellent work of undergraduates while motivating them to continue their INFORMS involvement.
Revenue Management O&D Issues
Session: MD29
Date/Time: Monday 14:45-16:15
Type: Sponsored
Sponsor: Aviation Applications Section
Track:
Cluster:
Room: Hampstead
Chair: Larry R. Weatherford
Chair Address: Univ. of WY, PO Box 3275, Laramie, WY 82071 ,
Chair E-mail: 1rw@uwyo.edu
- MD29.1
Nested Probabilistic Network Approach to Origin-Destination Control Stephane Bratu --- MIT, Flight Transport. Lab., 77 Massachusetts Ave., Cambridge, MA 02139 , ()
- Most mathematical programming solutions to airline O-D control do not account for the nesting of itineraries and fare classes on each flight leg. We propose a probabilistic network approach that explicity considers the nested nature of the problem, illustrate how it can be used to generate bid prices and compare its revenue performance to other known O-D control methods.
- MD29.2
Update on Passenger Origin-Destination Simulator Simulation Results Peter P. Belobaba --- M.I.T Flight Trans. Lab, 77 Mass. Ave., Room 33-215, Cambridge, MA 02139 , ()
- Recent results from the Boeing/MIT joint study of the interaction of revenue management methods and passenger choice are presented. The PODS is used to illustrate the revenue and competitive impacts of different RM methods, including the interaction between network O-D control and alternative forecasting models and aggregation schemes.
- MD29.3
Forecasting Issues in Revenue Management Larry R. Weatherford --- Univ. of WY, PO Box 3275, Laramie, WY 82071 , (1rw@uwyo.edu)
- Recent results from the Boeing/MIT joint study of the interaction of revenue management methods and passenger choice are presented. The PODS is used to illustrate the revenue and competitive impacts of different RM methods, including the interaction between netowrk origin-destination control and alternative forecasting models and aggregation schemes.
Evaluating Benefits of Government Aviation Technology Programs I
Session: MD30
Date/Time: Monday 14:45-16:15
Type: Sponsored
Sponsor: Aviation Applications Section
Track:
Cluster:
Room: Fundy
Chair: Jesse P. Johnson
Chair Address: Logistics Mgmt. Inst., 2000 Corporate Ridge, McLean, VA 22102 ,
Chair E-mail: jjohson@lmi.org | www.asac.1mi.org
- MD30.1
withdrawn 3/11 Earl R. Wingrove --- Wyle Labs., , , (ewingrov@1mi.org)
- MD30.2
Object-Oriented Analysis & Design of the ASAC Executive Assistant James A. Villani, Eileen R. Roberts --- Logistics Mgmt. Inst., 2000 Corporate Ridge, McLean, VA 22102 , (jvillani@1mi.org)
- The ASAC Executive Assistant is an automated on-line capability to perform selected analyses of aircraft technology/air traffic management improvements using an integrated suite of economic models. We will discuss the object-oriented analysis and design techniques used and how they led to a uniquely flexible and powerful design and implementation.
- MD30.3
Air Cargo Operations Database Eric Gaier, Jesse P. Johnson --- , , , (egaier@1mi.org)
- The air cargo operations database was developed for use in modeling and predicting the costs associated with air cargo operations, including target operating costs for future cargo aircraft designs. We analyze the operating costs faced by various cargo shippers as a function of aircraft type and size of operations.
- MD30.4
The Future Market for Cargo Aircraft Jesse P. Johnson, Eric Gaier --- Logistics Mgmt. Inst., 2000 Corporate Ridge, McLean, VA 22102 , (jjohson@lmi.org | www.asac.1mi.org)
- We examine the future market size for cargo aircraft by examining the baseline supply and demand requirements for cargo aircraft, then adding the projected growth in demand for cargo aircraft due to industry growth. In addition, we look at new vs. used split as well as domestic vs. international patterns.
Logistics
Session: MD32
Date/Time: Monday 14:45-16:15
Type: Contributed
Sponsor:
Track:
Cluster:
Room: Frontenac
Chair: Susan M. Hesse
Chair Address: Northwestern Univ., Dept. of IE/MS, 2225 N Campus Dr., Evanston, IL 60208-3119,
Chair E-mail: hesse@iems.nwu.edu
- MD32.1
Strategic Planning for Facility Location Susan M. Hesse, Mark S. Daskin, Charles ReVelle --- Northwestern Univ., Dept. of IE/MS, 2225 N Campus Dr., Evanston, IL 60208-3119, (hesse@iems.nwu.edu)
- We consider new models for strategic facility location which incorporate uncertainty in various problem parameters through scenario planning techniques. A generalization of the 'minimax regret' objective is formulated, capturing user risk aversion, thereby deriving less conservative location solutions.
- MD32.2
Locating Containers in a Mega Terminal Ebru K. Demir, Chung-Lun Li, David Simchi-Levi, Yin Thin Leong, Jonathan W. C. Ng --- Northwestern Univ., Dept. of IEMS, 2225 N Campus Dr., Rm. 3024, Evanston, IL 60208 , (demir@iems.nwu.edu)
- We consider the problem of assigning locations to jobs and scheduling AGVs to maximize throughput at a container terminal. We present an assignment problem-based heuristic and analyze its worst case performance.
- MD32.3
Dispatching Automated Guided Vehicles in a Mega-Container Terminal Youhua Chen, Ebru K. Demir, Barry L. Nelson, David Simchi-Levi, Yin Thin Leong, Kevin Y. K. Ng --- Ntl. Univ. of Singapore, Singapore, , Singapore ()
- We consider the problem of dispatching AGVs to tasks in a mega-container terminal. Optimal and approximate algorithms are presented.
- MD32.4
Routing Orderpickers in a Warehouse with Multiple Cross Aisles Kees Jan Roodbergen --- Erasmus Univ., Rotterdam Sch. of Mgmt., PO Box 1738, Rotterdam, 3000DR , The Netherlands (kroodbergen@fac.fbk.eur.nl)
- In many warehouses order pickers can change aisles not only at the front and rear of the warehouse, but also at one or more positions in between. We develop new routing heuristics for this situation and analyze consequences of various layouts on order picking efficiency.
Finance III
Session: MD33
Date/Time: Monday 14:45-16:15
Type: Contributed
Sponsor:
Track:
Cluster:
Room: St. Lambert
Chair: Sila Cetinkaya
Chair Address: TX A&M Univ., IE Dept., College Station, TX 77843-3131,
Chair E-mail: sila@ie.tamu.edu http://ie.tamu.edu/faculty/cetinkaya.cetinkaya.html
- MD33.1
Mathematical Programming for Fund Mangement Guang Yang, Nicos Christofides, Simon Christofides --- Imperial Coll., Ctr. for Quant. Finance, Exhibition Rd., London, SW7 2BX , UK (gyang@ic.ac.uk)
- We investigate a multi-period portfolio management problem arising in fund management, involving bond, equity, foreign currency and options trading. A new mathematical programming formulation is developed by using a stochastic network approach. The model is tested with real data, and computational results are presented.
- MD33.2
Putting the CAPM Out to Pasture Susan Lash --- , 308 Harper Ct., Normal, IL 61761 , (slash@growmark.com)
- Portfolio theory was originally developed for use in the selection of securities. Single period decisions in agriculture are well suited to a portfolio optimization approach. This paper examines examples ranging from cropping decisions to genetics selection.
- MD33.3
Optimal Nonmyopic Gambling Strategy for the Generalized Kelly Criterion Sila Cetinkaya, Mahmut Parlar --- TX A&M Univ., IE Dept., College Station, TX 77843-3131, (sila@ie.tamu.edu http://ie.tamu.edu/faculty/cetinkaya.cetinkaya.html)
- We compute the optimal strategy for a gambler who has a general logarithmic utility function for his/her terminal wealth. In contrast to the well-known Kelly criterion, maximizing the utility of final wealth leads to a nonmyopic policy for this case. We provide a closed form formula for the nonmyopic solution.
Software Demonstrations
Session: MD34
Date/Time: Monday 14:45-16:15
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- MD34.1
Software Demonstration: INSIGHT.xla Business Analysis Software for Microsoft Excel Sam L. Savage --- Stanford University, EES & OR, 417 Terman Engineering Center, Stanford, CA 94305-4023, (savage@stanford.edu)
- Includes Monte Carlo, discrete-event simulation, time-series, Markov chains and decision trees, optimization models, including stochastic LP formatted to run with both Excel solver and What's Best! (a small version is included). See www.zdnet.com/pcweek/opinion/0302/02mach.html for PC Week review.
- MD34.2
Software Demonstration: The Best of Two Worlds with MLX/ MLX:Mathematica Link for Excel Anton Rowe --- EPISOFT, Inc., 555 Bryant St., #191, Palo Alto, CA 94301 , (anton@episoft.com)
- Link the world's most popular spreadsheet to the world's leading computational engine. Excel provides the ease-of-use and interface ubiquity; Mathematica provides the computational power, high-quality graphics and extensability. You will be amazed at what you can develop inside a spreadsheet using MLX!
Decision Support Systems II
Session: MD35
Date/Time: Monday 14:45-16:15
Type: Contributed
Sponsor:
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Room: St. Leonard
Chair: James E. Armstrong, Jr.
Chair Address: US Military Academy, Dept. of Systems Eng., Mahan Hall, Rm. 419, West Point, NY 10996-1779,
Chair E-mail: fj8305@trotter.usma.edu www.se.usma.edu
- MD35.1
A Decision Support System for Shop Scheduling N. Ravichandran --- Indian Inst. of Mgmt., Wing 3, Ahmedabad, 380015 , India (nravi@iimahd.ernet.in)
- We argue the strategic importance of a lean manufacturig environment in the context of an Indian auto component manufacturer and present the features of a DSS to facilitate shop planning with the documentation of implementation experience.
- MD35.2
Cool MS/OR: Planning Logistics DSS in an Ice Cream Company Hugo T. Yoshizaki --- Univ. of Sao Paulo, CP 61548, Sao Paulo SP, 05508-900 , Brazil (hugo@usp.br)
- A director plan for implementing MS/OR models to aid logistics decisions at a $332 million ice cream company is presented. Typical decisions are production scheduling, vehicle routing, inventory control, location analysis etc. The planning process employed a specific methodology, SYLPHID, which identifies modeling opportunities, develops specific trajectories and integrates them into a consistent decision network.
- MD35.3
PRISM Project James E. Armstrong, Jr., Charles S. Mitchell --- US Military Academy, Dept. of Systems Eng., Mahan Hall, Rm. 419, West Point, NY 10996-1779, (fj8305@trotter.usma.edu www.se.usma.edu)
- The PRISM project involves improving the design of a prototype military land capabilities DSSs. PRISM gives decision makers a quick overview of military capability around the world in 108 countries. It allows 'what-if' assessments by using complexity theory and nonlinear dynamics to understand and evaluate new intelligence information that may alter military capabilities...
- MD35.4
A Proposed DSS for Multiobjective Scheduling Project Michel Gagnon, Gilles R. D'Avignon --- Universite Laval, Fac. des sciences de l'admin., Ste.-Foy, Quebec, G1K 7P4 , Canada (gagnonmi@microtec.net)
- We focus on the properties of a DSS to consider several objectives at the same time in a visual interactive environment in order to help the project director to identify changes to constraints and to obtain a final schedule which will satisfy his multiple objectives.
Design & Restoration Problems in Optical
Session: MD38
Date/Time: Monday 14:45-16:15
Type: Sponsored
Sponsor: TST
Track:
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Room: Outremont
Chair: Subrahmanyam Dravida
Chair Address: Bell Labs., Lucent Tech., 101 Crawfords Corner Rd., Rm. 3M-337, PO Box 3030, Holmdel, NJ 07733 ,
Chair E-mail: dravida@hoserve.ho.lucent.com
- MD38.1
A Polynomial Time Approximation Scheme for the SONET Ring Loading Problem Sanjeev Khanna --- Bell Labs., Murray Hill, NJ 07733 , ()
- A rapidly emerging design paradigm for large-scale optical-fiber networks involves connecting clusters of nodes through a SONET ring and building a network over these rings. We tackle an important optimization problem that consists of determining a routing scheme which minimizes the bandwidth required to satisfy all the pairwise traffic demands.=20
- MD38.2
Performance of WDM Transport Networks Ender Ayanoglu --- Bell Labs., Holmdel, NJ , ()
- Wavelength division multiplexed point-to-point transport is becoming commonplace in wide area networks. With the expectation that the next step is end-to-end networking of wavelengths (in the optical domain, without conversion to electronics), there is a need for new design techniques, a new understanding of the performance issues, and a new performance evaluation methodology in such networks. We describe approaches to that end, summarizes research results, and points to open problems.
- MD38.3
Distribution Restoration in Optical Networks B. Doshi, Subrahmanyam Dravida, P. Harshavardhana, Yufei Wang --- Bell Labs., Holmdel, NJ 07733 , ()
- We describe a distributed restoration scheme for optical networks. We propose a novel algorithm which takes advantage of parallel computations in a distributed network. The computation time and restoration performance time will be shown for example networks. In addition, capacity comparisons with centralized optimization approaches will also be discussed.
- MD38.4
SONET Intra Ring Design Problems Youngho Lee, Junghee Han, Seongin Kim --- Korea Univ., Dept. of IE, Sungbuk-Ku Anam Dong 5 Ka 1, Seoul, , S. Korea (yhlee@kuccnx.korea.ac.kr)
- We present a new optimization modeling for solving telecommunication network design problems. This problem arises in the design of synchronous optical netweorks (SONET). In this modeling, we seek to find an optimal clustering of demand links. This problem can also be conceptualized as an edge covering problem with capacity constraints.
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Network Models
Session: ME01
Date/Time: Monday 16:30-18:00
Type: Sponsored
Sponsor: TSS & IFORS
Track:
Cluster:
Room: St. Laurent
Chair: David H. Bernstein
Chair Address: Princeton Univ., Dept. of Civil Eng. & OR, Princeton, NJ 08544 ,
Chair E-mail: dhb@princeton.edu
- ME01.1
Braess' Paradox Under Large Travel Demands Jane N. Hagstrom, Robert A. Abrams --- Univ. of IL, Dept. of Info. & Dec. Sci., 601 S. Morgan, MC 294, Chicago, IL 60607 , (hagstrom@uic.edu)
- We show that for 'large enough' demands, Braess's paradox for traffic equilibrium cannot occur in the case of affine travel-time costs. We characterize Braess's paradox as occurring when the equilibrium distribution of flows does not solve a certain optimization problem.
- ME01.2
Multicriteria Thoughts for the Traffic Assignment Problem Tzu-li Wu, George F. List --- RPI, Dept. of DS/ES, Troy, NY 12180 , (wut@rpi.edu)
- We present new perspectives on the multicriteria traffic assignment problem. A network manager's perspective is introduced. Comparisons are presented between the new perspective and classic user-equilibrium and system-optimal. The trade offs among these criteria are discussed and suggestions for future work are described.
- ME01.3
Parallel Implementations of Time-Dependent Shortest Path Algorithms Ismail Chabini, Michael A. Florian, Nicolas Tremblay --- MIT, 77 Massachusetts Ave., Room 1-263, Cambridge, MA 02139 , (chabini@mit.edu)
- We present results obtained with several parallelization strategies for computing time-depend shortest paths for ITS applications. The algorithms tested are the label setting algorithms of Chabini and Pallotino. The computing platforms used are a network of SUN SPARC Ultra workstations and a SUN SPARC Server 1000 shared memory machine.
- ME01.4
Solving Path Flow Formulations of the Network Equilibrium Problem David H. Bernstein --- Princeton Univ., Dept. of Civil Eng. & OR, Princeton, NJ 08544 , (dhb@princeton.edu)
- Historically, people have tended to avoid so-called 'path flow formulations' of the network equilibrium problem in favor of so-called 'arc formulations'. This presentation considers both why path flow formulations are important and how they can be solved efficiently.
Applications of Travel Forecasting Models
Session: ME02
Date/Time: Monday 16:30-18:00
Type: Sponsored
Sponsor: TSS & IFORS
Track:
Cluster:
Room: Bersimis
Chair: Bruce N. Janson
Chair Address: Univ. of CO, Dept. of Civil Eng., PO Box 173364, CB 113, Denver, CO 80217-3364,
Chair E-mail: bjanson@carbon.cudenver.edu
- ME02.1
Applications of the AIMSUN2/RB Microsimulator in Montr=fal Michael A. Florian, Michael Mahut, Nicolas Tremblay, Jaime Barcelo, Jose Ferrer --- Univ. of Montreal, CRT & Dept. DIRO, CP 6128, CP 6128, Succ. Centerville, Montreal, Quebec, H3C 3J7 , Canada (mike@crt.umontreal.ca)
- We present several applications of the AIMSUN2/RB microsimulator to several congested corridor of the urban highway network of Montreal. Those applications have been carried out with the collaboration of the Ministry of Transportation of Quebec and complement the transportation planning studies for the Montreal Region with detailed simulations of congested corridors.
- ME02.2
The Effect of Earthquakes on Urban Highway Infrastructure Productivity Peter Gordon, James E. Moore, M. Shinozuka --- Univ. of Southern CA, Econ. & Urban Planning, VKC-351 MC0042, Los Angeles, CA 90089-0042, (pgordong@usc.edu)
- We summarize an integrated model of losses due to earthquake impacts on transportation and industrial capacity, and how these losses affect the urban economy. The procedure advances transportation and activity system analysis techniques in ways that help capture the most important economic effects. Network costs and origin-destination requirements are endogenous and consistent.
- ME02.3
Real-Time Forecasting Using Unequally Spaced Observations Piyushimita Thakuriah --- Univ. of IL, Urban Trans. Ctr., 1033 W Van Buren, Ste. 700 S, Chicago, IL 60607 , (thakuria@voyager.utc.uic.edu)
- Real-time forcasting of travel times is critical for intelligent transportation systems. Input travel time data streams, however, are unequally spaced in time. We propose a travel time forecasting procedure for an arterial corridor using a traffic model and a modified Kalman filter. An application of this forecasting model is made using data from an arterial network.
- ME02.4
Modeling Route Diversion Impacts of Freeway Ramp Metering Bruce N. Janson --- Univ. of CO, Dept. of Civil Eng., PO Box 173364, CB 113, Denver, CO 80217-3364, (bjanson@carbon.cudenver.edu)
- Freeway ramp metering can only reduce total travel time in a network of alternative routes if Braess' paradox occurs, assuming fixed demand. Static and dynamic assignment examples are presented in which ramp metering reduces total travel time because of restrictive freeway link capacities versus ample link capacities on alternative routes.
Optimization for Air Transportation
Session: ME03
Date/Time: Monday 16:30-18:00
Type: Sponsored
Sponsor: TSS
Track:
Cluster:
Room: Gatineau
Chair: Jacques Desrosiers, Francois Soumis
Chair Address: Ecole des HEC & GERAD, 3000 ch. Cote-Ste-Catherine, Montreal, Quebec, H3T 2A7 , Canada
Chair E-mail: jacques@crt.umontreal.ca
- ME03.1
Dynamic Constraint Relaxation for Large Column Generation Problems Daniel Villeneuve, Francois Soumis --- Ecole Polytech. de Montreal, GERAD, 3000 ch. Cote-Ste-Catherine, Montreal, Quebec, H3T 2A7 , Canada (danielv@crt.umontreal.ca)
- Highly degenerate problems, such as set partitioning ones, contain many inactive constraints which may be identified from the solution. We propose an algorithm which relaxes a set of potentially inactive constraints before solving, tracking the minimal set at each iteration. We present numerical results on crew pairing problems using the GENCOL optimizer.
- ME03.2
Weekly Aircraft Routing & Scheduling Problem Nicolas Belanger, Francois Soumis --- Ecole Polytech. of Montreal, GERAD, 3000 ch. Cote-Ste-Catherine, Montreal, Quebec, H3C 2A7 , Canada (nicolasb@crt.umontreal.ca)
- The islands method permitting to considerably reduce the time resolution of the WARSP has been introduced under the hypothesis that any optimal solution used the minimal fleet. However, this hypothesis is not always satisfied in practice. We shall present an extension of this method not requiring this hypothesis and rapidly solving the problem optimally.
- ME03.3
An Optimization Model for the Simultaneous Flight & Pilot Operational Scheduling Problems Mirela Stojkovic, Francois Soumis --- Ecole Polytech. of Montreal, GERAD, 3000 ch. Cote-ste-Catherine, Montreal, Quebec, H3T 2A7 , Canada (mirela@crt.umontreal.ca)
- The problem consists in simultaneously modifying, as necessary, the existing flight departure times and planned crew assignments, while keeping unchanged predefined aircraft itineraries. The problem is mathematically formulated as an integer nonlinear multi-commodity network flow model with time windows and solved by using a Dantzig-Wolfe decomposition combined with a B&B method.
- ME03.4
Day of Operation Scheduling (DAYOPS) Goran Stojkovic, Francois Soumis --- Ecole Polytech. of Montreal, GERAD, 3000 ch. Cote-Ste-Catherine, Montreal, Quebec, H3T 2A7 , Canada (goran@crt.umontreal.ca)
- Traditionally, aircraft assignment and crew scheduling problems are solved sequentially. In DAYOPS problem, it is very important to find out a flight schedule that satisfies both of them in same time. We used Benders decomposition to iterate between two modules: aircraft assignment and crew scheduling. Both modules are separately solved by GENCOL optimizer. Proposed model, for the first time, solve simultaneously these 2 modules using feedback from crew schedule to improve aircraft assignment.
Operations Management I
Session: ME04
Date/Time: Monday 16:30-18:00
Type: Contributed
Sponsor:
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Cluster:
Room: Harricana
Chair: Charles H. Smith
Chair Address: VA Commonwealth Univ., PO Box 844000, Richmond, VA 23284-4000,
Chair E-mail: chsmith@vcu.edu
- ME04.1
Modeling a Process Improvement Decision Charles H. Smith, Kim I. Melton --- VA Commonwealth Univ., PO Box 844000, Richmond, VA 23284-4000, (chsmith@vcu.edu)
- Under the continual improvement philosophy a decision maker can allocate resources towards targeting the process mean, reducing the inherent process variation, or reducing the frequency of occurrences of special causes of process disruption. The preferred actions depend on objectives, costs, and time horizon.
- ME04.2
Commonality in Multiple-Period Systems Mark S. Hillier --- Univ. of WA, MS Dept., Box 353200, Seattle, WA 98195 , (mhillier@u.washington.edu)
- By comparing the costs of a commonality and no commonality scenario using a very general, multiple-period model, we determine when using a more expensive common component is beneficial. We also investigate using both unique and common components, with common component serving as a backup.
- ME04.3
Focus vs. Adaptability: An Empirical Analysis of the Trade-Off Ashok Mukherjee, Will Mitchell, Brian Talbot --- Case Western Reserve Univ., WSOM, 10900 Euclid Ave., Cleveland, OH 44106 , (axm89@po.cwru.edu)
- We examine how changes in manufacturing requirements affect the performance of a focused factory. Absorptive capacity of a production line for a given change is hypothesiazed as the key predictor of performance. The hypotheses are tested at a well-known focused factory of the Copeland Corporation.
- ME04.4
Business Cycles & Downsizing of Knowledge Workers: The Stochastic Staffing Problem with Learning Effects & Non-Stationary Demand Edward G. Anderson --- Univ. of TX, CBA 4.202, Austin, TX 78712 , (edanderson@mail.utexas.edu)
- How best to manage a firm's knowledge resources under business cycles is vital but not well understood. Using the example of managing automotive engineers, who typically require years of mentoring under business cycles, we develop an optimal dynamic programming policy for managing resources with long lead-times under uncertain, non-stationary requirements.
Panel: New Books in Supply Chain Management
Session: ME05
Date/Time: Monday 16:30-18:00
Type: Sponsored
Sponsor: MSOM
Track:
Cluster:
Room: Grand Salon
Chair: Michael J. Magazine
Chair Address: Univ. of Cincinnati, Dept. of QAOM, Cincinnati, OH 45221-0130,
Chair E-mail: mike.magazine@uc.edu
- ME05.1
Panel: New Books in Supply Chain Management Hau L. Lee, Corey Billington, Chris Tang, Teck Ho, David Simchi-Levi, Philip Kaminsky, Edith Simchi-Levi, David F. Pyke, Edward A. Silver, Paul H. Zipkin, H. Donald Ratliff, Charles Fine, Sridhar Tayur, Ram Ganeshan --- Stanford Univ., Dept. of IE/EM, Terman 351, Stanford, CA 94305-4024, (haulee@leland.stanford.edu)
Advances in Flexible Manufacturing Systems Design
Session: ME06
Date/Time: Monday 16:30-18:00
Type: Sponsored
Sponsor: MSOM
Track:
Cluster:
Room: Richelieu
Chair: Diwakar Gupta
Chair Address: McMaster Univ., DeGroote Sch. of Bus., 1280 Main St. W, Hamilton, Ontario, L8S 4M4 , Canada
Chair E-mail: guptad@mcmaster.ca
- ME06.1
Technical Progress & Technology Acquisition: A Stochastic Programming Approach Atiqur Rahman, Shanling Li --- McGill Univ., Fac. of Mgmt., 1001 Sherbrooke St. W, Montreal Quebec, H3A 1G5 , Canada (rahman@management.mcgill.ca)
- Many high-tech manufacturing firms find that the market for their current products is eroded by the emergence of new technologies. We formulate this problem as a stochastic programming model to help firms make optimal technology acquisition decisions. An algorithm is proposed and numerical results are presented.
- ME06.2
Investment Decisions for Reconfigurable Machining Systems Wichai Narogwanich, John R. Birge, Izak Duenyas --- Univ. of MI, IOE Dept., 1205 Beal Ave., Ann Arbor, MI 48109-2117, (wichai@engin.umich.edu)
- We consider models for investing in reconfigurable machinery. It is uncertain when the machine will fail as well as when reconfiguration will be required. We present structural and numerical results.
- ME06.3
Design of Flexible Plant Layouts Saifallah Benjaafar, Mehdi Sheikhzadeh --- Univ. of MN, Dept. of Mech. Eng., Minneapolis, MN 55455 , (saif@maroon.tc.umn.edu)
- We address the problem of designing flexible plant layouts for manufacturing facilities where product demand and product mix are subject to variability. We present an alternative to both product and process layouts which we show to be more robust in dynamic environments.
- ME06.4
Multistage Capacity Planning Brian Denton, Diwakar Gupta --- McMaster Univ., DeGroote Sch. of Bus., 1280 Main St. W, Hamilton, Ontario, L8S 4M4 , Canada (dentonbt@mcmaster.ca)
- We present a model for examining the tradeoff between lower operating/acquisition costs of dedicated capacity and the ability to hedge against demand uncertainty by using fully flexible and/or convertible capacity. Convertible capacity processes only one product type but may be reconfigured periodically to suit changing demand pattern.
Economic Models of Operations Strategy
Session: ME07
Date/Time: Monday 16:30-18:00
Type: Sponsored
Sponsor: MSOM
Track:
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Room: Matapedia
Chair: Phillip J. Lederer
Chair Address: Univ. of Rochester, Simon Sch. of Bus. Admin., Rochester, NY 14627 ,
Chair E-mail: lederer@mail.ssb.rochester.edu
- ME07.1
Generalized Manufacturing-Retailer Contracting Authors Gerard P. Cachon, Martin Lariviere --- Duke Univ., Fuqua Sch. of Bus., Box 90120, Durham, NC 27708 , ()
- Several researchers have examined contracting between a manufacturer and a retailer facing a newsvendor problem. We consider the relationship between alternative contracting schemes as well as their efficiency in different contract settings. In particular, we consider price dependent demand distributions.
- ME07.2
Firm Pricing Policy & Location Strategy: The Case of Uniform Pricing Phillip J. Lederer, Dananjay Nanda --- Univ. of Rochester, Simon Sch. of Bus. Admin., Rochester, NY 14627 , (lederer@mail.ssb.rochester.edu)
- In the operations literature there is an unrecognized strategic interaction between location and pricing. Location affects the demand pattern thus the <> prices. Pricing affects the demand pattern and <> locations. We explore this interaction for uniform pricing. We explain the use of uniform prices, and model pricing interactions with location.
- ME07.3
Real Options & R&D Project Evaluation Arnd H. Huchzermeier, Christoph H. Loch --- WHU, Otto-Beisheim GSM, Burgplatz 2, Vallendar, 56179 , Germany (ah@shu-koblenz.de)
- Standard evaluation methods understate the value of R&D projects when corrective actions can be taken by management. Variability in technical outcomes and in market payoffs increases the value of the real option. Contrary to conventional options theory wisdom, an increase in market demand variability may reduce rather than enhance the option value.
- ME07.4
Risk & Capacity Decisions Phillip J. Lederer, Tushar Mehta --- Univ. of Rochester, Simon Sch. of Bus. Admin., Rochester, NY 14627 , (lederer@mail.ssb.rochester.edu)
- Typically, firms use a management-mandated hurdle rate in evaluating new technologies, effectively masking risk differences. We assess a hurdle rate based on the technology's cost structure, and subsequently, optimize the firm's capacity choice. Also, we estimate the 'error' resulting from a pre-established hurdle rate over a range of model parameters.
Models & Methodologies in Technology Management
Session: ME08
Date/Time: Monday 16:30-18:00
Type: Sponsored
Sponsor: Technology Management Section
Track:
Cluster:
Room: Chaudiere
Chair: Dundar F. Kocaoglu
Chair Address: Portland State Univ., Eng. Mgmt. Program, 1900 SW 4th Ave., Portland, OR 97201 ,
Chair E-mail: kocaoglu@emp.pdx.edu
- ME08.1
Growing as an INC-500 Company Moren Levesque, Kenneth R. MacCrimmon --- Carnegie Mellon Univ., GSIA, Pittsburgh, PA 15213-3890, (moren@andrew.cmu.edu)
- Growth is a key objective of entrepreneurial companies. To explore the determinants of growth, we studied the fastest growing companies listed in INC 500 Magazine from 1991 to 1997. The relationships and implications among variables such as profitability, productivity, size, age and industry are presented in this paper.
- ME08.2
TQM Implementation in an Engineering Faculty Nuket Yetis --- Marmara Univ., Fac. of Eng., Kuyubasi Kadikoy, Istanbul, 81040 , Turkey (yetis@marun.edu.tr)
- TQM in higher education covers organizational productivity for statisfying customer needs and quality requirements, and provides a structure for educational processes with performance measurements. To have a successful implementation of TQM for continuous quality improvements in higher education, specific characteristics of the university environment should be taken into consideration.
- ME08.3
A Reexamination of DEA Cross-Evaluation in Cellular Manufacturing Layout Analysis Timothy R. Anderson, Akin Uslu, Keith Hollingsworth --- Portland State Univ., Eng. Mgmt. Program, PO Box 751, Portland, OR 97207-0751, (tima@emp.odx.edu)
- This work examines the advantages and disadvantages of DEA cross-evaluation in analyzing cellular manufacturing layout simulation results. It is found that while cross-efficiency may be an interesting variant of Data Envelopment Analysis, it is not well suited to simulation output analysis.
- ME08.4
Informal Structure for Technology Development Organizations Jang W. Ra --- Univ. of AK, Sch. of Eng., Anchorage, AK 99508 , (afjwr@uaa.alaska.edu)
- We present a matrix format approach for mapping employees informal networks and show how to properly select a team leader and key members whose technical leadership and people skills are actually supported by employees, not falsely assumed by a top manager.
Knowing & Knowledge in Product & Service Innovation
Session: ME09
Date/Time: Monday 16:30-18:00
Type: Sponsored
Sponsor: Technology Management Section
Track:
Cluster:
Room: St. Charles
Chair: Deborah J. Dougherty
Chair Address: McGill Univ., Fac. of Mgmt., 1001 Sherbrooke St. W, Montreal, Quebec, H3A 1G5 , Canada
Chair E-mail: doughert@management.mcgill.ca
- ME09.1
Organizational Knowledge Architectures For & Against Sustained Innovation Deborah J. Dougherty --- McGill Univ., Fac. of Mgmt., 1001 Sherbrooke St. W, Montreal, Quebec, H3A 1G5 , Canada (doughert@management.mcgill.ca)
- The market, technology, and core operating knowledge architecture in organizations capable of sustained product innovation differs fundamentally from that found in non-innovative organizations, promoting both extensive=differentation and integration at multiple levels of action. Central charactgeristics of the differences are described and suggestions for transformation are offered.
- ME09.2
Product Concept Development in Multinationals Alan O'Sullivan --- McGill Univ., 1001 Sherbrooke St. W, Montreal, Quebec, H3A 1G5 , Canada (osulliva@management.mcgill.ca)
- The paper discusses how organization competencies are matched to customer needs during product concept development in a multinational corporation. Social identities influence concept development by constraining cognition and cueing behaviour. Dealing explicitly with social identities is argued to be a key task in the generation of an effective product concept.
- ME09.3
Emotion, Identity & Skills: A Discursive Model of Social Innovation Thomas Lawrence, Nelson Phillips --- Univ. of Victoria, Fac. of Bus., PO Box 1700, Victoria, BC, V8W 2Y2 , Canada (tlawrence@business.uvic.ca)
- We develop a discursive model of how independent actors collaborate to produce social innovation, highlighting the complex relationships among talk and action through wich people co-construct emotions, skills, and identities. A case study of a collaborative initiative in employment services illustrates the importance of this model to managing innovation.
- ME09.4
No Title Supplied Pablo Martin --- McGill Univ., 1001 Sherbrooke St. W, Montreal, Quebec, H3A 1G5 , Canada (martin@management.mcgill.ca)
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Tutorial: Lift & Project Methods for Mixed-Integer Programs
Session: ME19
Date/Time: Monday 16:30-18:00
Type: Invited
Sponsor:
Track:
Cluster:
Room: Duluth
Chair: Jean-Marie Bourjolly
Chair Address: Concordia Univ., 1455 de Maisonneuve Blvd. W, Montreal, Quebec, H3G 1M8 , Canada
Chair E-mail: jean-m@crt.unmontreal.ca
- ME19.1
Tutorial: Lift & Project Methods for Mixed Integer Programs Sebastian Ceria --- Columbia Univ., Grad. Sch. of Bus., 417 Uris Hall, New York, NY 10027 , (sebas@cumparsita.gsb.columbia.edu)
- We present an algorithm that can be used for any integer program to generate 'lift-and-project' cuts. These cuts rely solely on the fact that some variables in the model are integer constrained. We show through extensive computational experiments that they are quite effective when used within a B&C algorithm to solve general MIPs arising from a wide variety of applications.
Panel: Managing Transitions - Grad School to First Job, Academia to Industry, Industry to Academia
Session: ME20
Date/Time: Monday 16:30-18:00
Type: Sponsored
Sponsor: Forum on Women in OR/MS
Track:
Cluster:
Room: Marquette
Chair: Candace A. Yano
Chair Address: Univ. of CA, 4135 Etcheverry Hall, Berkeley, CA 94720-1777,
Chair E-mail: yano@ieor.berkeley.edu | www.ieor.berkeley.edu/~yano
- ME20.1
Panel: Managing Transitions - Grad School to First Job, Academia to Industry, Industry to Academia Eric Wolman, David Kim, Margaret Belknap --- George Mason Univ., 7806 Hidden Meadow Terr., Potomac, MD 20854-1792, ()
- Panelists will discuss their experiences in making successful transitions within the OR/MS profession.
Simulation Methodology
Session: ME21
Date/Time: Monday 16:30-18:00
Type: Sponsored
Sponsor: College on Simulation
Track:
Cluster:
Room: Cote St. Luc
Chair: Perwez Shahabuddin
Chair Address: Columbia Univ., Dept. of IE/OR, 500 W 120th St., New York, NY 10027-6699,
Chair E-mail: perwez@ieor.columbia.edu
- ME21.1
Permutated Importance-Sampling Estimators for Regenerative Simulations James Calvin, Marvin Nakayama --- NJIT, Simulation & Modeling Lab., Dept. of CIS, Newark, NJ 07102-1982, (calvin@cis.njit.edu)
- We reduce the variance of importance-sampling estimators by applying permutations. The basic idea is to run a simulation using one sequence of regeneration points, permute the cycles based on another sequence of regeneration points, compute an estimator based on the new path, and average over all possible permutations.
- ME21.2
Application of Gradient Estimation Techniques to the Design & Analysis of Control Charts Xi-Ren Cao, Michael C. Fu, Jian-Qiang Hu --- HKUST, Clear Water Bay, Dept. of EEE, Kowloon, , Hong Kong ()
- The evaluation of complicated control charts in statistical process control requires the use of Monte Carlo simulation due to the intractability of the underlying model. We apply gradient estimation techniques to derive sensitivity estimators of average run lengths of control charts with respect to various system parameters...
- ME21.3
On the Choice of Sample Space for Importance Sampling & Likelihood Ratio Derivative Estimation Perwez Shahabuddin --- Columbia Univ., Dept. of IE/OR, 500 W 120th St., New York, NY 10027-6699, (perwez@ieor.columbia.edu)
- Importance sampling involves choosing a new probability measure to achieve reduction in variance. Likelihood ratio derivative estimation is also based on a change of measure concept. We show that in many cases, the choice of the granularity of the sample space, on which to implement the change of measure, may affect the variance. In some cases, it may mean the difference between finite and infinite variance.
- ME21.4
Efficient Rare Event Simulation of Polling Systems Sandeep Juneja, Prashant Singhal --- Indian Inst. of Tech., Dept. of Mech. Eng., Hauz Khas, New Delhi, 110016 , India (sandeepj@mech.iitd.ernet.in)
- ATM networks are often modeled using polling queueing systems. For such networks, the buffer overflow probability, although very small, is an important performance measure that needs to be accurately estimated. We describe importance sampling techniques to efficiently estimate these small buffer overflow probabilities for a wide class of polling systems, using what we refer to as the cyclic approach.
The Value of Information
Session: ME22
Date/Time: Monday 16:30-18:00
Type: Sponsored
Sponsor: Decision Analysis Society
Track:
Cluster:
Room: Pointe Aux Trembles
Chair: Charles D. Linville
Chair Address: , 2917 Keswick Rd., Baltimore, MD 21211 ,
Chair E-mail: clinville@worldnet.att.net
- ME22.1
Expected-Utility Preference Reversals in Information Acquisition Gordon B. Hazen, Jay Sounderpandian --- Northwestern Univ., IE/MS Dept., MEAS, Evanston, IL 60208-3119, ()
- Suppose you must choose between 2 pieces of information A and B. In the absence of cost, you would prefer to obtain A rather than B, and in fact would be willing to take more risk to obtain A than B. Nevertheless, you would pay more money for B than for A. Are your preferences consistent with expected utility? The answer is yes, they may very well be.
- ME22.2
Decision Making & Participation Style Mehdi Mostaghimi, David K. Kreutter --- Pfizer Central Research, Portfolio Analysis Group, Groton, CT 06340 , (mehdi_mostaghimi@groton.pfizer.com)
- The decision reached by a decision maker after consulting experts is influenced by his/her participatory style in the decision process. We use a Bayesian estimation method to show that the decision maker's optimal decision varies with his/her participatory style. Numerical examples are presented.
- ME22.3
The Sensitivity of Value of Information to Analysis Assumptions Maxine E. Dakins --- Univ. of ID, 1776 Science Cntr. Dr., Idaho Falls, ID 83405 , (medakins@if.uidaho.edu)
- We examine the sensitivity of the expected value of sample information in an environmental remediation decision problem to changes in important assumptions of the analysis including the structure of the model, the form and parameters of the loss function and the form and symmetry of the likelihood function.
- ME22.4
Biases in the Estimation of the Expected Value of Information Charles D. Linville --- , 2917 Keswick Rd., Baltimore, MD 21211 , (clinville@worldnet.att.net)
- We examine 2 mechanisms by which estimates of the expected value of information (VOI) can be biased. Expert overconfidence can lead both to underestimates and overestimates of VOI. Also, simulation variance can lead to positive and negative biases in estimates of VOI based on Monte Carlo simulation.
Creating Value Using Decision Analysis
Session: ME23
Date/Time: Monday 16:30-18:00
Type: Sponsored
Sponsor: Decision Analysis Society
Track:
Cluster:
Room: Jacques Cartier
Chair: Ralph L. Keeney
Chair Address: Univ. of Southern CA, 101 Lombard St., Ste 704W, San Francisco, CA 94111 ,
Chair E-mail:
- ME23.1
Discovering Options James E. Smith, Gardner Walkup --- Duke Univ., Box 90120, Durham, NC 27708-0120, (jes9@mail.duke.edu)
- While the DA process frequently generates creative alternatives, the process often misses potentially valuable options associated with a project. We describe methods that we have found useful for thinking about project dynamics and discovering embedded options. We illustrate the ideas with examples drawn from the oil and gas industry.
- ME23.2
Creating Alternatives When Tradeoffs Are Taboo Robin Gregory --- Decision & Value Scope Res., 1124 West 19th St., N Vancouver, BC, V7P 1Z9 , Canada ()
- We describe recent work with private sector and government clients who are reluctant to acknowledge value tradeoffs made as part of both routine and strategic business decisions. We discuss approaches used to help identify these multiple objectives and assist in defining acceptable project or program alternatives.
- ME23.3
Creating Customer Value by Creating Alternatives Ralph L. Keeney --- Univ. of Southern CA, 101 Lombard St., Ste 704W, San Francisco, CA 94111 , ()
- A general model of individual customer values is presented. Assessments from representative customers indicate the distribution of specific customer values. Proposed new products are evaluated against the set of existing products to indicate the increase in value for different customers and the market share for the new product.
Applied Probability in Finance
Session: ME25
Date/Time: Monday 16:30-18:00
Type: Sponsored
Sponsor: Applied Probability Section
Track:
Cluster:
Room: St. Laurent
Chair: Sid Browne
Chair Address: Columbia Univ., 402 Uris Hall, Grad. Sch. of Bus., New York, NY 10027 ,
Chair E-mail: sb30@columbia.edu
- ME25.1
Insights to Reality Gained from Some New Models in Finance Larry Shepp --- Rutgers Univ., , , ()
- A simple model for staff size management of a large company reveals that massive downsizing is part of the optimal strategy for maximizing total expected profit. The optimal strategy surprisingly makes use of a strategy which has often been considered paradoxical when companies use it, namely a company tends to downsize on an upturn in the company's fortune, e.g...
- ME25.2
Some Numerical Issues in Pricing of Path-Dependent Financial Derivatives Steve Kou --- Columbia Univ., , , ()
- Recently, numerical analysis has just begun to be used in pricing financial derivatives, especially when analytical solutions are not available. An example is pricing of discrete path-dependent options, particularly, discrete lookback and barrier options. Although these are among the most popular options traded in markets, there are essentially no analytical formulas for these options, and even Monte Carlo simulation is very difficult.
- ME25.3
withdrawn - chair request of 3/27 Michael Taksar --- SUNY, Dept. of Applied Math. & Stats, Stony Brook, NY 11794-3600, ()
- ME25.4
Probability Maximization & Active Portfolio Management Sid Browne --- Columbia Univ., 402 Uris Hall, Grad. Sch. of Bus., New York, NY 10027 , (sb30@columbia.edu)
- The objective of 'active' portfolio management is to beat a given index. Since an index is just some specific portfolio strategy, the 'active' portfolio manager is concerned with beating another (given) portfolio strategy. In this paper we consider the objective of maximizing the probability of beating another strategy.
Inventory Management I
Session: ME27
Date/Time: Monday 16:30-18:00
Type: Contributed
Sponsor:
Track:
Cluster:
Room: St. Michel
Chair: Ben A. Chaouch
Chair Address: Univ. of Windsor, Fac. of Bus. Admin., Windsor, Ontario, N9B 3P4 , Canada
Chair E-mail: chaouch@uwindsor.ca
- ME27.1
Inventory Placement in a Supply Chain for a Single Period Problem Piotr Z. Stalinski, Chia-Shin Chung --- Cleveland State Univ., Dept. of OM & Bus. Stats., E 24 St. & Euclid Ave., Cleveland, OH 44115 , (p.stalinski@csuohio.edu)
- This paper investigates the single-period placement problem for a serial supply chain. In our model, upper stages in the series resupply the lowest stage in case of a shortage. We assume a partial backorder/lost sales policy. We provide an iterative procedure for solving the problem.
- ME27.2
Order Quantity in a Dual Supply Mode with Updating Forecasts Houmin Yan, Ke Liu, Arthur Hsu --- Chinese Univ. of Hong Kong, Dept. of SE/EM, Shatin, NT, Hong Kong, , China (yan@se.cuhk.edu.hk www.se.cuhk.edu.hk/~webadmin/Faculty/yan.html)
- In this paper, we study how an updated forecast affects manufacturer's choice in ordering raw materials, model the problem of optimal order quantity from two modes of suppliers' problems. We demonstrate that cost function is convex, and twice differentiable with respect to order quantity. With this model we are able to obtain...
- ME27.3
Stock Levels & Delivery Rates in Quick-Response Replenishment Systems Ben A. Chaouch --- Univ. of Windsor, Fac. of Bus. Admin., Windsor, Ontario, N9B 3P4 , Canada (chaouch@uwindsor.ca)
Innovative Software for OR/MS
Session: ME28
Date/Time: Monday 16:30-18:00
Type: Sponsored
Sponsor: Forum on Education
Track:
Cluster:
Room: Mont Royal
Chair: Rick Olson
Chair Address: Univ. of San Diego, Ind. & Systems Engineering, San Diego, CA 92110-2492,
Chair E-mail: r_olson@acusd.edu
- ME28.1
Simulating Queues in Spreadsheets: It Can (& Should) Be Done Thomas A. Grossman --- Univ. of Calgary, Fac. of Mgmt., 2500 University Dr. NW, Calgary, Alberta, T2N 1N4 , Canada (grossman@mgmt.ucalgary.ca;informs.org/informed/)
- Spreadsheet Add-In simulation is cheaper and more accessible (especially to low-tech users) than simulation packages. Simulating queues in spreadsheets has been perceived as being prohibitively difficult. We have developed families of spreadsheet queueing engines (available on the web) that allow queuing simulations to be quickly developed, even by unsophisticatged users.
- ME28.2
What Do You Get When You Mate Excel with Mathematica? Sam L. Savage --- Stanford University, EES & OR, 417 Terman Engineering Center, Stanford, CA 94305-4023, (savage@stanford.edu)
- Mathematica is powerful but takes effort to learn. Now Mathematica's functions are available through a wizard in Excel. Imagine writing an Excel formula in one cell, and having its derivative and integral appear in two other cells. How about complex variables and Mathematica Graphics? It's all there.
- ME28.3
Spreadsheet Add-Ins for OR/MS Instruction Paul A. Jensen --- Univ. of TX, MC C2200, Dept. of Mech. Eng., Austin, TX 78712-1080, (pjensen@mail.utexas.edu)
- I review several spreadsheet add-ins for Microsoft Excel. We restrict attention to add-ins that can be used for instruction in Operations Research and Management Science and that are provided by their authors for little or no charge.
- ME28.4
Non-Commercial Courseware for OR/MS Rick Olson --- Univ. of San Diego, Ind. & Systems Engineering, San Diego, CA 92110-2492, (r_olson@acusd.edu)
- We will summarize courseware available through the internet and other non-commercial sources. Software applicable to statistics, math programming and decision analysis will be discussed. Typical programs discussed will include java-based WWW sites and interactive tutorials suitable primarily for undergraduate business or engineering courses.
New Aspects of Revenue Management
Session: ME29
Date/Time: Monday 16:30-18:00
Type: Sponsored
Sponsor: Aviation Applications Section
Track:
Cluster:
Room: Hampstead
Chair: Garrett J. van Ryzin
Chair Address: Columbia Univ., 412 Uris Hall, New York, NY 10027 ,
Chair E-mail: gjv1@columbia.edu
- ME29.1
Revenue Management as a Queueing Control Problem: New Results Conrad Lautenbacher, Janakiram Subramanian, Shaler Stidham Jr. --- Univ. of NC, Dept. of OR, CB #3180, Smith Bldg., Chapel Hill, NC 27599-3180, (conrad@or.unc.edu)
- We consider revenue management with cancellations and overbooking. Exploiting the equivalence to a queueing control problem, we develop efficient dynamic-programming-based algorithms for calculating optimal booking limits for different fare classes. Our numerical results indicate possibly substantial increases in revenue using our model, when compared with previous approaches.
- ME29.2
Abstracting the Revenue Management Problem for Practical Use E. Andrew Boyd --- PROS Strategic Solutions, 3223 Smith, Ste. 100, Houston, TX 77006 , (boyd@prosx.com)
- A general formulation of the revenue mangement problem is presented and provable results are outlined. The practical importance of the formulation is stressed by describing how it can be used as the framework for defining revenue managment systems in new application areas.
- ME29.3
Adaptive Methods for Seat Protection Optimization Jeffrey I. McGill, Garrett van Ryzin --- Queen's Univ., Sch. of Bus., Kingston, Ontario, K7M 6A1 , Canada ()
- We discuss recent progress on the application of a stochastic approximation scheme to adaptive updating of seat protection levels.
Evaluating Benefits of Government Aviation Technology Programs II
Session: ME30
Date/Time: Monday 16:30-18:00
Type: Sponsored
Sponsor: Aviation Applications Section
Track:
Cluster:
Room: Fundy
Chair: Jesse P. Johnson
Chair Address: Logistics Mgmt. Inst., 2000 Corporate Ridge, McLean, VA 22102 ,
Chair E-mail: jjohson@lmi.org | www.asac.1mi.org
- ME30.1
Evaluation of Decision Support Tools for Air Traffic Management David B. Lee, Dou Long, Joana Plugge, Mel R. Etheridge, Jesse P. Johnson, Peter Kostiuk --- , 6486 Eastwood Glen Dr., Montgomery, AL 36117 , (dlee@1mi.org,703-917-7557)
- We present a general method for making cross-comparable estimates of the benefits of decision support technologies for air traffic management and apply it to 3 NASA-developed tools: Active Final-Approach Spacing Tool, AFAST, Expedite Departure Path, EDP, and Conflict Probe and Trial Planning, CPTP.
- ME30.2
Safety Analysis Gerald W. Shapiro, Peter Kostiuk --- , 5923 Kingsford Rd., Springfield, VA 22152 , ()
- A methodology for quantitative assessment of the safety impacts of changes in air traffic procedures and/or technologies is presented with case studies. The methodology combines reliability analysis with an 'impact-response' model, which guides the analyst in selecting simulation scenarios.
- ME30.3
Upgraded ASAC Air Carrier Investment Model Earl R. Wingrove, Eric Gaier --- Wyle Labs., , , (ewingrov@1mi.org)
- To assist US industry with future technological challenges, NASA must identify research with the greatest potential for improving the air transportation system. ASAC utilizes a parametric model to link airline operations with aircraft characteristics. We added the following modules: US functional cost, Asian and European econometric, market share and input-output.
- ME30.4
withdrawn 3/11 Caroline Nelson, Majorie Curia --- , , , ()
Managing Schools
Session: ME32
Date/Time: Monday 16:30-18:00
Type: Sponsored
Sponsor: Public Programs & Processes Section
Track:
Cluster:
Room: Frontenac
Chair: Robert Shumsky
Chair Address: Univ.of Rochester, Simon Grad. Sch. of Bus., Rochester, NY 14627 ,
Chair E-mail: shumsky@ssb.rochester.edu
- ME32.1
School Performance Evaluation with Data Envelopment Analysis Douglas Lamdin --- UMBC, Policy Sciences Grad. Program, 1000 Hilltop Circle, Baltimore, MD 21250 , (lamdin@umbc2.umbc.edu)
- Across the US, an increasing focus is on measurable outcomes and performance evaluation in primary and secondary education. DEA is a logical and potentially valuable evaluation tool. We describe and illustrate its potential use.
- ME32.2
Making Continuous Improvement Work in Schools Gordon S. Black --- Gordon S. Black Corp., 135 Corporate Woods, Rochester, NY 10175 , (gordonb@gsbc.com)
- ME32.3
Private Management of Public Schools: Lessons from the Edison Project John Chubb --- The Edison Project, 521 5th Ave., 16th Floor, New York, NY 10175 , (john_chubb@edisonproject.com)
- The private management of public schools is emerging as a potentially major new strategy in education reform in the US. The Edison Project is the largest private manager of public schools in the US. The presentation will apply Edison's practical lessons to the policy issues of private management.
- ME32.4
A Framework & National Benchmarks for Assessing Academic Productivity Lawrence C. Walters, Gary C. Cornia, Douglas Chabries --- Brigham Young Univ., Inst. of Public Mgmt., 760 TNRB, Provo, UT 84602 , (larry_walters@byu.edu)
- We make use of a national sample of post-secondary faculty to test and develop a framework for assessing the productivity of academic departments and faculty. The framework provides useful insights for academic administrators who must allocate scarce resources. The framework and benchmarks are applied to a large private university and the resulting policy implications are explored.
Resource Allocation
Session: ME33
Date/Time: Monday 16:30-18:00
Type: Contributed
Sponsor:
Track:
Cluster:
Room: St. Lambert
Chair: Graeme M. Warren
Chair Address: Univ. of Pretoria, Dept. of ISE, Pretoria, 0002 , South Africa
Chair E-mail: graeme@iiwi.ee.up.ac.za | maui.ee.up.ac.za/~graeme/graeme.htm
- ME33.1
Demand/Routing Control & Capacity Planning of Network Systems Yasushi Masuda --- Keio Univ., Fac. of Science & Tech., 3-14-1 Hiyoshi Kohoku, Yokohama, 223 , Japan (masuda@ae.keio.ac.jp)
- When the traffic volume and routing ar not static, a naive application of bottleneck analysis may hurt the system. We investigate the pricing for traffic control and the problem of capacity expansion of systems with optimal or suboptimal equilibrium traffic.
- ME33.2
Scheduling of Multi-Plant Systems for Rapid Replenishment to Retailers Gregory W. Diehl, Edward Lau, Frederick H. Abernathy --- Harvard Univ., 29 Oxford St., Cambridge, MA 02138 , (diehl@paone.harvard.edu)
- We examine resource allocation and production scheduling problems in the rapid replenishment business. We design scheduling policies for a multi-plant system (with quick and slow response times) so as to maximize profit while fulfilling seasonally varying demand.
- ME33.3
The Product Mix Problem: Heuristics Graeme M. Warren --- Univ. of Pretoria, Dept. of ISE, Pretoria, 0002 , South Africa (graeme@iiwi.ee.up.ac.za | maui.ee.up.ac.za/~graeme/graeme.htm)
- We will formulate the product mix problem and consider the performance of several heuristics for this problem. We will describe a related rate mix problem and establish a connection to recent work on the stability of queueing networks.
Software Demonstrations
Session: ME34
Date/Time: Monday 16:30-18:00
Type:
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Room: Westmount
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- ME34.1
Software Demonstration: New Developments in MIMI Tom Baker --- Chesapeake Decision Sciences Inc., 200 South Street, New Providence, NJ 07974 , (teb@chesapeake.com)
- MIMI is an application environment for planning, scheduling and supply chain applications that combines OR, expert systems, graphics and database technologies. We trace the evolution of MIMI over a period of 10 years and demonstrate some of the most recent developments in the areas of distributed computing, modeling wizards and internet/intranet capabilities.
- ME34.2
Software Demonstration: ALPHA/Sim Software Simulation Tutorial Kendra E. Moore --- Alphatech Inc., 50 Mall Rd., Burlington, MA 01803-4537, ()
- ALPHA/Sim is a general-purpose, discrete-event simulation tool. ALPHA/Sim allows a user to graphically build a simulation model, enter input data via integrated forms, execute the simulation model and view the simulation results, within a single graphical environment. We describe how to use ALPHA/Sim to build, simulate and analyze a simple manufacturing system and describe some advanced features and list some sample applications.
Decision Support Systems III
Session: ME35
Date/Time: Monday 16:30-18:00
Type: Contributed
Sponsor:
Track:
Cluster:
Room: St. Leonard
Chair: Cathleen M. Brown
Chair Address: US Military Academy, Dept. of Systems Eng., Mahan Hall, West Point, NY 10996 ,
Chair E-mail: fc6756@trotter.usma.edu www.se.usma.edu
- ME35.1
Innovative Battle Command & Control System Architecture for Force XXI Cathleen M. Brown, James E. Armstrong, Jr., William B. Carlton --- US Military Academy, Dept. of Systems Eng., Mahan Hall, West Point, NY 10996 , (fc6756@trotter.usma.edu www.se.usma.edu)
- The Task Force XXI Advanced Warfighting Experiment during the National Training Center Rotation at Ft. Irwin, California 15-29 March 1997 raised many intriguing issues about the impact of digitization on the design and operation of battle command and control systems. Some issues are system architecture concerns about the mix of voice and data on the same net and the static nature of the addressing scheme...
- ME35.2
Possibilistic Analysis of Government Projects Bel G. Raggad, Moncef Belhadjali --- Pace Univ., 861 Bedford Rd., Pleasentville, NY 10570 , (raggad@pacevm.dac.pace.edu)
- A private project involves a quantitative comparison of the streams of costs and benefits over its expected economic life. A government project contains ligitimate ambiguity due to the fuzziness of its revenues received through various forms of taxation and spent supposedly in the public interest. The paper proposes a possibilistic framework...
- ME35.3
Planning Information Systems: New Architectures & Old Problems Pedro R. Kanof --- George Washington Univ., Dept. of MS, 1669 32nd St., Washington, DC 20007 , (pkanof@aol.com)
- In recent years, new architectures have been proposed to answer the needs of corporations that use information systems. The new architectures include open systems, distributed databases, and intensive use of computer networks (LAN and WAN). In this paper, I disucss three important consequences of the new architectures and propose some solutions.
- ME35.4
Factors Influence Usage Patterns of Analytical Techniques Within Project Management Software Matthew J. Liberatore, Bruce Pollack-Johnson --- Villanova Univ., Coll. of Commerce & Finance, 800 Lancaster Ave., Villanova, PA 19085 , (liberator@ucis.vill.edu)
- We discuss the analysis of an extensive random survey of Project Management professionals concerning usage of PM software and analytical techniques as well as opinions about future research directions. Implications for researchers in Project Scheduling will be discussed.
Constraint-Based Programming: Algorithmic Analytics
Session: ME37
Date/Time: Monday 16:30-18:00
Type: Sponsored
Sponsor: CSTS
Track:
Cluster:
Room: Lachine
Chair: Carol Tretkoff
Chair Address: ILOG Inc. & CUNY, 1901 Landings Dr., Mountain View, CA 94040 ,
Chair E-mail: tretkoff@ilog.com
- ME37.1
Cooperative Solvers: ILOG Solver & CPLEX Michel Leconte, Philippe Refalo, Jean-Francois Puget --- ILOG, 1 rue de Verdun, Gentilly, 94253 , France (leconte@ilog.fr)
- We present a tight coupling between a constraint programming system and an LP system. We have integrated 2 state-of-the-art systems, ILOG Solver, a C++constraint-programming library and the CPLEX Callable Library into a new C++ optimization library. We show how they work together and discuss implementation issues such as communication between finite domain propagation and B&B search...
- ME37.2
Practical Aspects of Randomized Algorithms Carla P. Gomes --- Rome Laboratory, 525 Brooks Rd., Rome, NY 13441-4505, (gomes@ai.rl.af.mil)
- Recently, stochastic algorithms have become very successful. We consider complete randomized backtrack-style algorithms, within a constraint based paradigm. These algorithms are a particular case of Las Vegas algorithms, i.e stochastic algorithms that always return the correct solution if it exists or prove inconsistency. We describe interesting properties of their computational cost distributions and the implications of this kind of analysis for algorithm design.
- ME37.3
Modeling & Solving Sports League Scheduling with Constraint Programming Jean-Charles Regin --- ILOG, 9 rue de Verdun, Gentilly, 94253 , France (regin@ilog.fr)
- We aims to show how a classic practical benchmark problem for scheduling sports leagues can be solved easily and efficiently using constraint programming. A solution to this problem is given this result outperforms all previous work (as of this writing). The proposed model highlights the advantages of using efficient filtering algorithms for several kinds of global constraints...
- ME37.4
Disjunctive Constraints & Financial Optimization Ken McAloon --- ILOG & CUNY, 1901 Landings Dr., Mountain View, CA 94040 , (mcaloon@ilog.com)
- Portfolio optimization models include the LP based mean absolute deviation models (Sharpe) and the QP models (Markowitz). When disjunctive constraints such as mutual exclusions, minimal trading amounts, integrality requirements etc. are added, interesting computational issues arise as well as problems of model formulation. Available approaches and performance trade-offs will be discussed.
Financing Major Telecommunications Projects in Canada
Session: ME38
Date/Time: Monday 16:30-18:00
Type: Sponsored
Sponsor: TST
Track:
Cluster:
Room: Outremont
Chair: Francis Paquet
Chair Address: Microcell Connexions, 1250 Boul. Rene-Levesque ouest, Montr=fal, Qu=fbec, H3B 4W8 , Canada
Chair E-mail:
- ME38.1
Creating a Telecommunications Business Case In Canada Jacques Leduc, Rene Bousquet --- Microcell Telecom., , , ()
- With the emergence of the convergence of the information technologies and a favorable regulatory framework, telecommunications offer new business opportunities as well as real challenges for existing companies. Growth on the Internet, explosion of the wireless business, competition in telephone service local access, emergency of satellite service providers will bring Canada toward the 21st century. These elements are all presented here from a financial standpoint.
- ME38.2
Launching Personal Communication Service in Canada: Microcell's Case Luc Vincent, David Hannan --- MODELCOM, , , ()
- Microcell is an example of a new company that has taken the risk of exploiting the PCSs new business here in Canada. We present the company positioning and tools developed to assess the viability and assure a sustainable plan.
- ME38.3
The Convergence Challenge Remy Brodeur --- Bell Canada, , , Canada ()
- Digitization - a true technological revolution - has brought about convergence, then competition, in what has come to be known as the telecommunications and new media industry. What are the main issues facing a telecommunications company such as Bell Canada in this new information society, where the consumer is king?
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Traffic Network Origin-Destination Demand Estimation
Session: TA01
Date/Time: Tuesday 08:00-09:30
Type: Sponsored
Sponsor: TSS & IFORS
Track:
Cluster:
Room: St. Laurent
Chair: R. Jayakrishnan
Chair Address: Univ. of CA, Dept. of Civil & Env. Eng., Irvine, CA 92697 ,
Chair E-mail: rjayakri@uci.edu
- TA01.1
A Real-Time Framework for the Dynamic Origin-Destination Flow Estimation & Prediction Problem in Congested Vehicular Networks Ying Kang, Hani S. Mahmassani --- Univ. of TX, Dept. of Civil Eng., ECJ 6.2, Austin, TX 78712 , (yingkang@mail.utexas.edu)
- A polynomial expression of rapidly time-varying origin-destination flows is used in a sequential Kalman Filter model in conjunction with a dynamic traffic assignment simulator. Numerical experiments are presented.
- TA01.2
Derivation of Section Measures & Incomplete Origin-Destination Data & Its Use in Dynamic Origin-Destination Estimation Carlos Sun, R. Jayakrishnan --- Univ. of CA, Civil & Env. Eng., Irvine, CA 92697 , (c2sun@uci.edu)
- A 'readily implementable' approach is presented for the collection and derivation of section measures and incomplete OD data. Signal processing and system identification techniques are used to reidentify vehicles and extract traffic measurements. A dynamic OD framework which uses these new types of data is described in detail.
- TA01.3
An Adaptive & Dynamic Framework for Freeway Origin-Destination Demand Predictions Debashish Bhattacharjee, James V. Krogmeier, Kumares C. Sinha --- Purdue Univ., Civil Eng., W. Lafayette, IN 47907 , (dbhattac@ecn.purdue.edu)
- An improved adaptive and dynamic framework is proposed for predicting freeway OD demands. Such framework is ideal for real-time application both under normal and incident induced congestion situation. The effect of probe vehicles on the performance of filtering technique is studied in depth. Our proposed framework showed promising results with simulation experiments conducted on a freeway network in Indiana.
TSP
Session: TA02
Date/Time: Tuesday 08:00-09:30
Type: Sponsored
Sponsor: TSS
Track:
Cluster:
Room: Bersimis
Chair: Jacques Renaud
Chair Address: Univ. du Quebec, Tele-univ., 2600 Blvd. Laurier, Tour de la Cite, CP 10700, Quebec, Quebec, G1V 4V9 , Canada
Chair E-mail: jrenaud@teluq.uquebec.ca
- TA02.1
Applying the Neural Networks Approach to Solve the Traveling Salesman Problem Dahbia Kadi, Laoucine Kerbache --- Groupe Ecole Superieure de Commerce de Rennes, 2 rue Robert d, Arbrissel, , France (dahbia.kadi@esc-rennes.fr)
- Our research considers the mathematical methods to solve the TSP and VRP. We investigate the use of a novel heuristics class method: the NN to solve these problems. Among the several types of NN, we consider the unsupervised learning algorithms and more precisely the Kohonen self-organising networks. We will first apply this new approach to the TSP and then investigate its generalisation to the VRP.
- TA02.2
Approximation Algorithms for the Capacitated Traveling Salesman Problem with Pick-Ups & Deliveries Julien D. Bramel, Shoshana Anily --- Columbia Univ., 406 Uris Hall, Columbia Bus. Sch., New York, NY 10027 , (jdb8@columbia.edu)
- We consider the CTSSPD. This problem has pick-up points and delivery points where a single point is, respectively, available and desired. A vehicle of limited capacity must pick-up and delivery all product. We present 2 polynomial-time approximation algorithms and analyse their worst-case performance.
- TA02.3
A Tabu Search Algorithm for the Generalized Traveling Salesman Problem Frederick Semet, Jacques Renaud --- Univ. of Montreal, CRT, CP 6128, Succ. Centre-ville, Montreal Quebec, H3C 3J7 , Canada (frederic@crt.umontreal.ca)
- The generalized TSP consists of determining the shortest tour which passes through m sets of nodes visiting exactly one node in each set. We describe a TS heuristic based on a partition of the m sets into subsets according to a classification procedure. This algorithm produces near optimal results on the 36 TSPLIBS problems for which the optimal solutions are known.
- TA02.4
Perturbation Algorithms for the Pickup & Delivery Traveling Salesman Problem Jacques Renaud, Fayez F. Boctor --- Univ. du Quebec, Tele-univ., 2600 Blvd. Laurier, Tour de la Cite, CP 10700, Quebec, Quebec, G1V 4V9 , Canada (jrenaud@teluq.uquebec.ca)
- In the pickup and delivery TSP, each pickup customer should be visited before its associated delivery customer. We propose different perturbation algorithms which can be used as improvement procedures. Results are presented for a large set of benchmark test problems.
Hazardous Materials Transportation Planning
Session: TA03
Date/Time: Tuesday 08:00-09:30
Type: Sponsored
Sponsor: TSS
Track:
Cluster:
Room: Gatineau
Chair: Erhan Erkut
Chair Address: Univ. of Alberta, Fac. of Bus., Edmonton, Alberta, T6G 2R6 , Canada
Chair E-mail: erhan.erkut@ualberta.ca
- TA03.1
Routing & Scheduling of Radioactive Shipments in Networks with Time-Varying Costs & Curfews L. A. Bowler, Hani S. Mahmassani --- Northwestern Univ., Dept. of Civil Eng., Evanston, IL 60208 , ()
- A time-dependent least-cost path algorithm using a label-correcting approach is adapted to capture time-varying risk and curfews through certain cities. The impact of curfews and travel time uncertainty on departure time flexibility in networks is examined, and trade-offs among risk and travel time are investigated in an actual test network.
- TA03.2
Incorporating Plume Model in Hazmat Risk Analysis Jianjun Zhang --- Univ. of Alberta, Dept. Earth & Atmospheric Sci., Edmonton, Alberta, T6G 2H4 , Canada (jianjun@pop.srv.ualberta.ca)
- Plume models evaluate the distribution of gaseous pollutants in the area impacted by a pollution source. Incorporating plume models in transportation risk analysis is computationally intensive. We show how plume models can be incorporated in hazmat risk analysis and routing with the help of a GIS.
- TA03.3
Do Temporal Effects Make a Difference in Hazmat Routing? William Frank, Rajan Batta, J. C. Thill --- SUNY, Dept. of IE, Buffalo, NY 14260 , ()
- We investigate hazardous material routing with some link attributes as a function of time. To answer the question of whether temporal effects matter, a realistic case study if required. Our case study will use a GIS and model the continental US. Algorithmic solution methods are also discussed.
- TA03.4
Selecting Dissimilar Paths Vedat Akgun, Erhan Erkut --- SUNY, Dept. of IE, Buffalo, NY 14260 , ()
- It may be desirable to generate a number of alternate paths between an origin and a destination for certain transport planning instances. The use of the most obvious method for this, a k-shortest path algorithm, may result in k paths that are very similar to one another. We study alternate methods for generating paths that are spatially dissimilar, and report our computational results.
Operations Management II
Session: TA04
Date/Time: Tuesday 08:00-09:30
Type: Contributed
Sponsor:
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Room: Harricana
Chair: Srinagesh Gavirneni
Chair Address: Schlumberger, 8311 North FM 620, Austin, TX 78726 ,
Chair E-mail: gavirneni@slb.com
- TA04.1
Benefits of Cooperation in a Production Distribution Environment Srinagesh Gavirneni --- Schlumberger, 8311 North FM 620, Austin, TX 78726 , (gavirneni@slb.com)
- We model cooperation in a production distribution setting that contains one capacitated supplier and many identical retailers. We consider 3 inventory allocation mechanisms, representing varying degrees of information sharing, at the supplier and estimate the benefits due to cooperation in this supply chain. We observed that the benefits of cooperation decrease when supplier capacity increases...
- TA04.2
Supply Contracts in a Capacity-Constrained Supplier Oligopoly Elizabeth C. Junqueira, Candace A. Yano, J. George Shanthikumar --- Univ. of CA, 2525 1/2 Hillegass Ave., Berkeley, CA 94704 , (junqueir@ieor.berkeley.edu www.ieor.berkeley.edu/~junqueir)
- We consider supply contracts from the supplier's perspective. We model the problem of supplier-capacity allocation among multiple buyers, when each contract specifies bounds on per-period purchase quantities. We discuss properties of the optimal policy and related managerial insights.
- TA04.3
Supplier Base Management: Screening, Incentives & Idiosyncratic Investments Mordechai Levi, Paul R. Kleindorfer --- Univ. of PA, The Wharton Sch., 1341 SH-DH, Philadelphia, PA 19104-6366, (moti@opim.wharton.upenn.edu)
- This paper builds on Seshadri (1995) in solving simultaneously the joint problem of screening an appropriate number of suppliers and investing in the quality of the resulting longer-term relationships with these suppliers. The results of this theoretical investigation are contrasted with empirical trends on supplier base size and structure.
Cooperation, Pricing, Flexibility & Transportation Problems in Supply Chains
Session: TA05
Date/Time: Tuesday 08:00-09:30
Type: Sponsored
Sponsor: MSOM
Track:
Cluster:
Room: Grand Salon
Chair: Shanling Li
Chair Address: McGill Univ., Fac. of Mgmt., 1001 Sherbrooke St. W, Montreal, Quebec, H3A 1G5 , Canada
Chair E-mail: li@management.mcgill.ca
- TA05.1
Cooperation Issues in a Manufacturer-Retailer System Zhimin Huang, Susan Li --- Adelphi Univ., Sch. of Bus., Box 701, Garden City, NY 11530 , (huang@sable.adelphi.edu)
- We examine the issues of cooperation in a manufacturer-retailer inventory system. Game theory concepts form the foundation for the analysis of these issues. Initially, the relationship between the buyer and seller is modeled as a 2-stage game, then interactive game theory is utilized to address the problem of system cooperation.
- TA05.2
Heuristic Approaches to a Mail Transportation Network Wen-Chyuan Chiang, Panos Kouvelis --- Univ. of Tulsa, Coll. of Bus., 600 S College Ave., Tulsa, OK 74104-3189, (qm_wc@centum.utulsa.edu)
- We consider a mail transportation network in which distance is to be minimized subject to time constraint. We propose an optimization framework and discuss efficient heuristics to solve the problem. Computational results are presented and compared.
- TA05.3
Modeling & Evaluation of Multiple International Sourcing Agreements Using Option Pricing Techniques Constantin A. Vaitsos, Genaro J. Gutierrez --- Univ. of Southern CA, Marshall Sch. of Bus., Los Angeles, CA 90089-1421, (vaitsos@alnitak.usc.edu)
- We study the trade-offs involved in devising multi-supplier sourcing agreements to hedge against exchange rate fluctations that may give cost advantage to sourcing in certain regions of the world. We evaluate the benefits of adding/dropping suppliers from the existing sourcing network using option pricing techniques.
- TA05.4
Flexibility & Supply Chain Relations Sudheer Gupta --- McGill Univ., Fac. of Mgmt., 1001 Sherbrooke St. W, Montreal, Quebec, H3A 1G5 , Canada (gupta@management.mcgill.ca)
- We study investments in flexible technologies by manufacturers producing differentiated products and their impact on supply chain relations when competitive reactions are explicitly accounted for. Various supply contracts under different technology states are analyzed.
Modeling & Analysis of Agile Workforces
Session: TA06
Date/Time: Tuesday 08:00-09:30
Type: Sponsored
Sponsor: MSOM
Track:
Cluster:
Room: Richelieu
Chair: Wallace J. Hopp
Chair Address: Northwestern Univ., Dept. of IE/MS, 2225 North Campus Dr., Evanston, IL 60208-3119,
Chair E-mail: hopp@iems.nwu.edu
- TA06.1
Modeling the Flexible Labor Supply Chain Joseph Milner, Edieal J. Pinker --- Washington Univ., Olin Sch. of Bus., One Brookings Dr., CB 1133, St. Louis, MO 63130 , (milner@wuolin.wustl.edu)
- We analyze the interaction of a firm and a contingent labor supplier through a stochastic model including both supply and demand processes. We consider both short term labor availability and long term contracts. We determine optimal policies and discuss their implications for management.
- TA06.2
On Pooling in Queueing Networks Martin I., Reiman, Avishai Mandelbaum --- Bell Labs., Lucent Tech., 600 Mountain Ave., Rm. 2C-117, Murray Hill, NJ 07974-2070, (marty@lucent.com)
- We compare 2 systems: an unpooled system consisting of specialized servers, which is modeled as a Jackson network and a pooled system consisting of flexible servers which is modeled as an M/PH/1 queue. We examine steady-state mean sojourn times in these 2 systems and show that sometimes pooling helps and sometimes it hurts.
- TA06.3
Flexible Workforce Scheduling in a Job Shop Hong Chen, Brian Kapalka, Martin L. Puterman --- HKUST & Univ. of British Columbia, Fac. of Comm., BRAMSS, 2053 Main Mall, Vancouver, BC, V6T 1Z2 , Canada (honchen@uxmail.ust.hk)
- We describe our approach to modeling and improving workforce allocation for a British Columbia aviation parts manufacturer. We present a stochastic simulation model of the job shop and investigate the performance of a several dynamic employee scheduling rules. We discuss some challenging stochastic optimization problems that arise in this setting.
- TA06.4
Organization of Flexible Labor in Stochastic Production Systems Mark P. Van Oyen, Wallace J. Hopp, Esma Senturk-Gel --- Northwestern Univ., IE/MS Dept., 2225 N Campus Dr., Evanston, IL 60208-3119, (vanoyen@nwu.edu)
- We analyze serial production systems with agile workers as queueing control and performance analysis problems. We investigate the optimal dynamic assignment of workers to jobs/stations over time under various constraints on worker agility to identify conditions yielding significant performance improvement 'opportunity'.
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Panel: Issues in Technology Management Education
Session: TA08
Date/Time: Tuesday 08:00-09:30
Type: Sponsored
Sponsor: Technology Management Section
Track:
Cluster:
Room: Chaudiere
Chair: Michael K. Badawy
Chair Address: VA Tech., Pamplin Coll. of Bus., 7054 Haycock Rd., Falls Church, VA 22043 ,
Chair E-mail: badawy@vt.edu
- TA08.1
Panel: Issues in Technology Management Education Robert M. Mason, Michael K. Badawy, Louis Lefebvre --- Case Western Reserve Univ., Weatherhead Sch. of Mgmt., 10900 Euclid Ave., Cleveland, OH 44106-7235, ()
- Academic program in technology and innovation management will be described, analyzed, and evaluated. Different paradigms will be explored along with their implications for the design and implementation of graduate degree program in MOT.
Managing the Interactions Between New Peoduct Development, Operations & Marketing
Session: TA09
Date/Time: Tuesday 08:00-09:30
Type: Sponsored
Sponsor: Technology Management Section
Track:
Cluster:
Room: St. Charles
Chair: Kamalini Ramdas
Chair Address: Univ. of VA, Darden Grad. Sch. Bus. Admin., PO Box 6550, Charlottesville, VA 22906 ,
Chair E-mail: ramdask@darden.gbus.virginia.edu
- TA09.1
Responding to Changing Customer Needs: The Design of a Flexible Development Process Marco Iansiti, Alan D. MacCormack --- Harvard Bus. School, Morgan Hall T69, Boston, MA 021633 , (miansiti@bhs.edu)
- How do firms manage product development when customer needs change dramatically during the development cycle? We describe exploratory research in the internet software industry which illustrates an approach to development based upon continuous interactions with customers. The design 'evolves' during a cycle in response to changing information on customer requirements.
- TA09.2
A Cross-Functional Approach to Evaluating Line Extensions for Assembled Products Mohanbir S Sawhney, Kamalini Ramdas --- Northwestern Univ., Kellogg Grad. Sch. of Mgmt., Leverone Hall,2001 Sheridan Rd, Evanston, IL 60208-2013, (mohans@nwu.edu)
- We present a cross-functional approach to evaluating a set of line extensions for assembled products. We simultaneously model demand side and cost side interactions among products in the product line. This allows to integrate marketing, operations, and accounting perspectives on variety management, and to optimize incremental contribution from line extensions.
- TA09.3
Internalization & Integration of Design & Production Karl Ulrich, David Ellison --- Univ. of PA, Wharton Sch. Dept. of OPIM, 1317 SHDH, Philadelphia, PA 19104 , (ulrich@wharton.upenn.edu)
- A trend in industry seems to be increasing outsourcing of component production, and in some cases component design. We examine the question of how to organize the design and production of products and their components. We review the literature, propose a new framework, and present evidence from industrial practice.
- TA09.4
Modeling the Performance of Innovations as Interactions Between R&D, Production & Marketing Soumyo D. Moitra --- Indian Inst. of Mgmt., Dept. of Op. Mgmt., Diamond Harbour Rd., Joka, Calcutta, 700027 , India (sdmoitra@hotmail.com)
- The performance of innovations depends on the decisions a firm makes with respect to research and development, production, and marketing. This paper explores models that link the development decisions with the performance of the innovation. The approach integrates the development process of an innovation with its subsequent lifecycle.
Tutorial: Intelligent Transportation Systems
Session: TA19
Date/Time: Tuesday 08:00-09:30
Type: Invited
Sponsor:
Track:
Cluster:
Room: Duluth
Chair: Michel Gendreau
Chair Address: Univ. de Montreal, CRT, CP 6128, Succ. Centre-ville, Montreal, Quebec, H3C 3J7 , Canada
Chair E-mail: michelg@crt.umontreal.ca
- TA19.1
Tutorial: Intelligent Transportation Systems Hani S. Mahmassani --- Univ. of TX, Dept. of Civil & Env. Eng., ECJ 6.2, Austin, TX 78712-1076, (masmah@mail.utexas.edu)
- ITS are predicted on the provision of real-time information to traffic controllers/fleet managers for optimal system operation. This presentation discusses challenging classes of OR problems that arise in conjunction with ITS technologies and presents an overview of recent developments in dynamic network assignment models for real-time ITS applications.
Tutorial: Strategic Operations Research/Management Science
Session: TA20
Date/Time: Tuesday 08:00-09:30
Type: Invited
Sponsor:
Track:
Cluster:
Room: Marquette
Chair: Ann Langley
Chair Address: Univ. of Qu=fbec, Dept. of MS, Montr=fal, Qu=fbec, H3C 3J7 , Canada
Chair E-mail:
- TA20.1
Tutorial: Strategic Operations Research/Management Science Peter C. Bell --- Univ. of Western Ontario, Ivey Sch. of Bus., London, Ontario, N6A 3K7 , Canada (http:\\www.business.uwo.ca\~msis\bell.html)
- Several major corporations now view their OR/MS work as a strategic asset. This tutorial introduces the concept of strategic OR/MS and presents examples from leading-edge organizations of both strategic OR/MS activities and strategic OR/MS problems. It will be argued that a strategic perspective of OR/MS provides many opportunities for future research.
Web- & JAVA-Based Simulation Modeling Environments
Session: TA21
Date/Time: Tuesday 08:00-09:30
Type: Sponsored
Sponsor: College on Simulation
Track:
Cluster:
Room: Cote St. Luc
Chair:
Chair Address:
Chair E-mail:
- TA21.1
Hierarchical Control Flow Graph Models Robert G. Sargent --- Syracuse Univ., Dept. of IE, 439 Link Hall, Syracuse, NY 13244 , (rsargent@syr.edu)
- Different hierarchical control flow graph models and how they were developed using Hi-MASS-j (Hierarchical Modeling and Simulation System-java) will be presented. HCFG Models use two complementary hierarchical specification structures (one for coupled components and one for atomic component behaviors) and these are specified in Hi-MASS-j via GUIs and dialog boxes.
- TA21.2
JAVA & the Silk Simulation System Kevin Healy, Richard A. Kilgore --- ThreadTec, Inc., PO Box 7, St. Louis, MO 63017 , (healy@threadtech.com)
- We discuss the design and implementation of Silk, a Java-based simulation system that merges familiar process-oriented modeling structures with the power and flexibility of Java, the emerging standard for object-oriented and internet-capable programming. We also discuss the advancements in corporate model development and maintenance made possible through the combined use of the Internet and JavaBeans-based modeling components.
Frameworks for Group Decision & Negotiation: Multicriteria Methods
Session: TA22
Date/Time: Tuesday 08:00-09:30
Type: Sponsored
Sponsor: Group Decision & Negotiation Section
Track:
Cluster:
Room: Pointe Aux Trembles
Chair: Jean-Marc Martel
Chair Address: Univ. Laval, Op et Systemes de Decision, CP 604 Fac des sci de l'admin, Quebec, Quebec, G1K 7P4 , Canada
Chair E-mail: jean-marc.martel@fsa.ulaval.ca
- TA22.1
Improving Multicriteria Group Decision Making with Automated Decision Guidance Moez Limayem --- Univ. Laval, Pavillon Palasis Prince, Ste-Foy, Quebec, G1K 7P4 , Canada (limayem.sio.ulaval.ca)
- The possibility of embedding decision guidance within MCDM Group DSSs is explored. Specific design rules for such guidance are suggested, and demonstrated in a MCDM GDSS for a resource-allocation task. Laboratory experiments indicate that the addition of guidance can improve group learning and perceptions and encourage consensus.
- TA22.2
A Distance Based Collective Preorder (Weak Order) Slim Ben-Khelifa, Jean-Marc Martel --- Univ. Laval, Fac. des Sciences de l'Admin., Ste. Foy, Quebec, G1K 7P4 , Canada ()
- We investigate the problem of combining individual preorders (weak orders) into a collective preorder. Axioms for distances between binary relations are related to systems of linear equations. The simple algorithm for group preorder ranks first the alternative nearest the first rank, second the alterntive nearest the second rank, etc.
- TA22.3
The Search for Maximal Amplitude Consensus in a Group Decision Context Laszlo Nandor Kiss --- Univ. Laval, 3202A Pap, Ste.-Foy, Quebec, G1K 7P4 , Canada (laszlo.kiss@fsa.ulaval.ca)
- With multiple decision makers, each alternative in a finite set has a hierarchical level, which we represent using a binary matrix. The hierarchical level of the largest consensus can then be identified. When several candidates achieve this maximum, their consensus equivalence can be assessed using a new metric for concordance.
Perspectives on Experienced Utility
Session: TA23
Date/Time: Tuesday 08:00-09:30
Type: Sponsored
Sponsor: Decision Analysis Society
Track:
Cluster:
Room: Jacques Cartier
Chair: Susan E. Brodt
Chair Address: Duke Univ., Fuqua Sch. of Bus., Durham, NC 27708-0120,
Chair E-mail: brodt@mail.duke.edu
- TA23.1
Benthamite Utility for Decision Making Rakesh K. Sarin, Peter P. Wakker --- UCLA, Anderson Sch. of Mgmt., 110 Westwood Plz. Box 951481, Los Angeles, CA 90095-1481, (rsarin@anderson.ucla.edu)
- Modern decision theory is based exclusively on observable preferences with hedonistic and introspective aspects of utility being irrelevant for the analysis of decisions. We argue that experienced utility provides insight into the formation of preferences which determine decision utility and that, in some situations, experienced utility may serve as a better guide to decisions.
- TA23.2
Decision Processes that Maximize Experienced Utility Joel Huber, Baba Shiv --- Duke Univ., Fuqua School of Bus., Durham, NC 27708-0120, (jch8@mail.duke.edu)
- We define maximizing experienced utility as optimizing how good one expects to feel about the outcomes of one's decisions. We examine the effectiveness of various kinds of processing strategies in achieving this goal, summarize biases in each and identify the contexts in which they are most appropriate.
- TA23.3
Sources of Value: The Links Between Prescriptive Negotiating Techniques & Experienced Utility Susan E. Brodt, Robert T. Clemen --- Duke Univ., Fuqua Sch. of Bus., Durham, NC 27708-0120, (brodt@mail.duke.edu)
- Using Brodt & Clemen's (1997) framework for thinking about a stream of value associated with negotiation, we show how to define and assess the effectiveness of prescriptive negotiation techniques, especially by identifying the psychological processes that link elements of a technique to assessments of experienced utility.
Stochastic Optimization in Queues & Manufacturing
Session: TA25
Date/Time: Tuesday 08:00-09:30
Type: Sponsored
Sponsor: Applied Probability Section
Track:
Cluster:
Room: St. Laurent
Chair: Matthew J. Sobel
Chair Address: NYU Stern School, 40 West 4th St., Rm 7-01A, New York, NY 10012-1118,
Chair E-mail: msobel@fac.har.sunysb.edu
- TA25.1
Controlling Service When Service Completion is Uncertain Donald P. Gaver, Patricia A. Jacobs --- Naval Postgrad. Sch., Dept. of OR, Monterey, CA 93940-5000, (dgaver@wposmtp.nps.navy.mil)
- A service system must handle tasks that are of uncertain completion adequacy and duration. Examples occur in medical diagnosis and treatment, failure rectification (e.g. computer systems), and military operations (did a particular weapon succeed?). We suggest and evaluate several control policies for various models of the above situations.
- TA25.2
Optimal Control of Make-to-Stock Systems: A Large Deviations Approach Dimitris Bertsimas, Ioannis Paschalidis --- MIT, Sloan Sch. of Mgmt., OR Ctr., E53-359, Cambridge, MA 02139 , (dbertsim@aris.mit.edu)
- We consider a multiclass make-to-stock production facility with backordering and arbitrary (possibly dependent) demand and service stochastic processes. We propose a production policy which minimizes expected inventory costs while maintaining stockout probabilities within desired limits. The policy is obtained by using optimal control and large deviations techniques.
- TA25.3
Computation of Optimal Policies in Infinite State Stochastic Dynamic Programs Linn Sennott --- Illinois St. Univ., Dept. of Math, Normal, IL 61790-4520, (sennott@math.ilstu.edu)
- A method is given for computing optimal policies in infinite state models with finite horizon, infinite horizon discounted, and average cost criteria. Illustrations include discrete time queues with reject option, adjustable service rates, and routing to parallel queues. Extensions of the method are indicated.
- TA25.4
Optimal Lot Sizes in Production Lines with Stochastic Yield & Rework Matthew J. Sobel --- NYU Stern School, 40 West 4th St., Rm 7-01A, New York, NY 10012-1118, (msobel@fac.har.sunysb.edu)
- A previously analyzed model of a production line in which work stations have random yield is expanded to include reworking defective items. The demand process may be dependent and excess demand is backordered. An optimal policy is shown to be myopic and easily computed for various criteria.
Inventory Management II
Session: TA27
Date/Time: Tuesday 08:00-09:30
Type: Contributed
Sponsor:
Track:
Cluster:
Room: St. Michel
Chair: Kaj Rosling
Chair Address: Lund Inst. of Tech., PO Box 118, Lund, S 22100 , Sweden
Chair E-mail: kaj.rosling@ie.lth.se
- TA27.1
Single-Item Inventory Policies with a Service-Level Constraint Kaj Rosling --- Lund Inst. of Tech., PO Box 118, Lund, S 22100 , Sweden (kaj.rosling@ie.lth.se)
- This paper investigates optimal policies for the single-item inventory problem with service-level constraints and discrete demands. Enumerative algorithms are suggested for (nQ,r) and (s,S) policies. Both optimal mixed and pure policies are considered.
- TA27.2
Multiple Time Period Inventory Management with Two Sources of Uncertainties: The Level of Demand & the Timing of Demand Joon B. Park, Yihlong Chang --- GA Inst. of Tech., Dupree Sch. of Mgmt., 755 Ferst Dr., Atlanta, GA 30332-0520, (gt7104d@prism.gatech.edu)
- The multiple time period inventory problem concerns the optimal order quantity for each period. However, the choice of a period's starting and termination times is also a managerial decision as well as the optimal order quantity decision. In this paper, optimality conditions for termination times of periods and order quantitites are established.
- TA27.3
An Inventory Problem with Multiple Setup Costs Katherine H. Pryor, Roman Kapuscinski, Chelsea C. White, III --- Univ. of MI, 2175 Lakeview Dr. #103, Ypsilanti, MI 48198 , (kpryor@engin.umich.edu)
- In the traditional inventory model, ordering involves one setup cost. We associate this with one delivery vehicle of infinite capacity. Realistically, vehicles have finite capacities. We consider a generalization of the capacitated inventory problem with setups by associating one setup per vehicle. We discuss when an (s,S)-like policy is optimal.
- TA27.4
Analysis of a 2-Echelon Single Item Inventory System with Returns Aybek Korugan, Surendra M. Gupta --- Northeastern Univ., MIME Dept., 334 Snell Eng. Ctr., Boston, MA 02115 , ()
- We develop new control policies for a two-echelon inventory system with return flows. It is assumed that there is no correlation between the demand and the return rate. The system is modeled using an open queueing network with finite buffers. An example is considered to demonstrate the effectiveness of the policies.
New Realities of Teaching: Resources, Pulling Teeth & Reengineering
Session: TA28
Date/Time: Tuesday 08:00-09:30
Type: Sponsored
Sponsor: Forum on Education
Track:
Cluster:
Room: Mont Royal
Chair: Michael J. Wood
Chair Address: Univ. of Portsmouth, Portsmouth Bus. School, Locksway Rd., Milton, Southsea, Hants, PO4 8JF , UK
Chair E-mail: woodm@pbs.port.ac.uk
- TA28.1
Pulling Teeth: Using Projects to Enhance the Directed Learning of Statistics Michael J. Racer, Robin H. Lovgren --- Univ. of Memphis, Dept. of INSE, Memphis, TN 38152 , (mracer@cc.memphis.edu)
- The Industrial and Systems Engineering Program is responsible for offering courses to its majors, as well as the instruction of statistics courses for Civil Engineering undergraduates. The purpose of this presentation is to discuss the development of a sequence of projects that directs the civil engineering students to situations in which the demand for a particular statistical tool becomes useful.
- TA28.2
Resource Constrained Teaching Robin H. Lovgren, Michael J. Racer --- Univ. of Memphis, Dept. of INSE, Memphis, TN 38152 , (rlovgren@cc.memphis.edu)
- The Industrial and Systems Engineering Program recently began offering an undergraduate curriculum, to supplement the existing M.S. program. As with any such new program, the initial enrollments are low, but rising. To accommodate students in the face of budget restrictions, efforts have been made to coordinate graduate and undergraduate offerings.
- TA28.3
Making OR/MS More User-Friendly: Reengineering the Maths Michael J. Wood --- Univ. of Portsmouth, Portsmouth Bus. School, Locksway Rd., Milton, Southsea, Hants, PO4 8JF , UK (woodm@pbs.port.ac.uk)
- This paper suggests some principles for achieving a user-oriented framework for approaching OR/MS problems. The first four principles involve reengineering the conceptual and mathematical basis; the fifth addresses strategies for when this fails and users have to communicate with an unfriendly framework. They will all be illustrated by reference to statistical quality control.
- TA28.4
How to Increase Student Learning & Knowledge Retention Judith S. Liebman --- Univ. of IL, Dept. of MIE, Urbana, IL 61801 , (jliebman@uiuc.edu)
- Simple principles from cognitive psychology lead to 10 teaching strategies that promote active learning. Examples of using these strategies to teach OR will be provided.
Passenger Choice Modeling
Session: TA29
Date/Time: Tuesday 08:00-09:30
Type: Sponsored
Sponsor: Aviation Applications Section
Track:
Cluster:
Room: Hampstead
Chair:
Chair Address:
Chair E-mail:
- TA29.1
A Full-Scale Version of the Boeing Decision Window Model Craig A. Hopperstad --- The Boeing Co., MS 75-14, PO Box 3707, Seattle, WA 98124-2207, (craig.a.hopperstad@boeing.com)
- The standard decision window model contains no representation of the effects of fares and fare classes. This special version incorporates not only fares and the disutility of fare class restrictions but also the disutilities of trip replanning, stops/connects and unfavorite airline use.
- TA29.2
Parameter Estimation for DWMISIM Using Interactive Web-Based Surveys Roger A. Parker --- Boeing Co., MS 64-18, PO Box 3707, Seattle, WA 98124-2207, (roger.a.parker@boeing.com)
- The innate situationality of the model constructs for DWMSIM prohibit the inference of parameter values directly from revealed preference. An interactive survey method must be used to create the requisite situational environment. An approach using internet-web-based survey techniques is described and preliminary results reported.
- TA29.3
A Demonstration of DWMSIM Roger A. Parker, Craig A. Hopperstad --- Boeing Co., MS 64-18, PO Box 3707, Seattle, WA 98124-2207, (roger.a.parker@boeing.com)
- No abstract supplied.
Management of Operations in Air Transport
Session: TA30
Date/Time: Tuesday 08:00-09:30
Type: Sponsored
Sponsor: Aviation Applications Section
Track:
Cluster:
Room: Fundy
Chair: Jacques Desrosiers
Chair Address: Ecole des HEC & GERAD, 3000 ch. Cote-Ste-Catherine, Montreal, Quebec, H3T 2A7 , Canada
Chair E-mail: jacques@crt.umontreal.ca
- TA30.1
ALTITUDE: An Optimization System for the Management of Operations in Air Transport Guy Desaulniers, Jacques Desrosiers, M. Gamache, Francois Soumis, Marius M. Solomon --- Ecole Polytech. & GERARD, 3000 Cote-Ste-Catherine, Montreal, Quebec, H3T 2A7 , Canada (guyd@crt.umontreal.ca)
- We offer several perspectives on the 5-year project that consisted of the research, design, development and implementation of a system for the management of air transport operations. We present the operations phases to be managed, the research team and industrial partners, the structure of the problems solved, the optimization methods used and the benefits of the project.
Operations Research in Public Systems
Session: TA32
Date/Time: Tuesday 08:00-09:30
Type: Sponsored
Sponsor: Public Programs & Processes Section
Track:
Cluster:
Room: Frontenac
Chair: Jonathan P. Caulkins
Chair Address: Carnegie Mellon Univ., Heinz Sch., 5000 Forbes Ave., Pittsburgh, PA 15213 ,
Chair E-mail: caulkins@andrew.cmu.edu
- TA32.1
On Smoothing Performance in Periodic Merit Reviews Yigal Gerchak --- Univ. of Waterloo, Dept. of MS, 200 University Ave. W, Waterloo, Ontario, N2L 3G1 , Canada (ygerchak@mansci.watstar.uwaterloo.ca)
- The number of articles an academic publishes fluctuates sharply from year to year. Since part of the reason is randomness in turnaround times, university administrators and granting agencies wish to smooth these fluctuating numbers. We discuss the effectiveness, pros and cons of the common methods.
- TA32.2
Process Flexibility in a Service Center Robert Shumsky, Gregory Dobson --- Univ.of Rochester, Simon Grad. Sch. of Bus., Rochester, NY 14627 , (shumsky@ssb.rochester.edu)
- We describe queueing and staffing models which examine the operational and financial tradeoffs between specialists and full-service employees in a telephone service center. Insights derived from these models may be applied a variety of public services, such as emergency medical services and facilities which are multilingual personnel.
- TA32.3
Route Identification in Wholesale Cocaine Trafficking Jesse P. Johnson, J. Hugh Ellis --- Logistics Mgmt. Inst., 2000 Corporate Ridge, McLean, VA 22102 , (jjohson@lmi.org | www.asac.1mi.org)
- We discuss several math programming methods to aid in identifying routes used in cocaine trafficking. The methods are developed using a framework based on a multiple objective transportation problem with side constraints embedded in a standard economic choice model where smugglers optimize arc selection and amounts shipped to maximize utility.
- TA32.4
Optimal Dynamic Allocation of Treatment & Enforcement in Illicit Drug Control Gustav Feichtinger, Gernot Tragler --- Vienna Univ. of Tech., Dept. of OR & Systems Theory, Argentinierstrasse 8/1192, Wien, A-1040 , Austria (or@e119ws1.tuwien.ac.at)
- How to divide drug control efforts between supply and demand side interventions has been debatged vigorously. To date, the problem has been couched in a static framework. We use optimal control theory to examine how the mix of treatment and enforcement should vary over the course of a drug epidemic.
Innovation
Session: TA33
Date/Time: Tuesday 08:00-09:30
Type: Contributed
Sponsor:
Track:
Cluster:
Room: St. Lambert
Chair: Martin E. Ginn
Chair Address: IL Inst. of Tech., Stuart Sch. of Bus., 565 W Adams St., Rm. 418, Chicago, IL 60661 ,
Chair E-mail: ginn@stuart.iit.edu
- TA33.1
Transitioning Decision Levels in Management of Technological Innovation Martin E. Ginn --- IL Inst. of Tech., Stuart Sch. of Bus., 565 W Adams St., Rm. 418, Chicago, IL 60661 , (ginn@stuart.iit.edu)
- Criteria are developed for transitioning focus to strategic, creativity and cross-cultural management domains which are imbedded in integrated decision models for managing technological innovation and product development. From evolving theory, new decision models and propositions are presented. By facilitating transitioning, the models offer potential utility for improving management practice.
- TA33.2
Innovation & Learning in High-Tech Small Firms Francois J. Therin --- Groupe Esc Grenoble, 12 rue Pierre-Semard, Grenoble, 38000 , France (therin@esc-grenoble.fr)
- This article presents a conceptual framework and the related hypotheses on the factors affecting product innovation in high-tech small firms. The influence of specific factors, and particularly the presence of a learning process, on product innovation will be tested on a sample and the results presented.
- TA33.3
Issues of Information Technology Diffusion & Adoption in Sub-Saharan Africa Kweku Ewusi-Mensah --- Loyola Marymount Univ., Coll. of Bus. Admin., 7900 Loyola Blvd., Los Angeles, CA 90045-8385, (kewusi@popmail.lmu.edu)
- We discuss the role of IT in the economic development of the region and the nature and the extent of IT diffusion patterns as indicators of economic growth. What types of IT usage indicators can be used to measure the depth and extent of IT penetration in the public and private sectors of national economies.
- TA33.4
Determinants of Successful Intranet Implementation: A Comparative Case Study George A. Zolla --- Naval Postgrad. Sch., Dudley Knox Library, Rm. 105, Monterey, CA 93943 , (gazolla@nps.navy.mil http://131.120.51.194)
- This article identifies critical determinants for implementing successful Intranets. A comparative case study was conducted between two organizations, one beginning an Intranet implementation and one nationally recognized as a leader. Four critical success factors were identified: a reliable internal network, an open information culture, organizational support and a champion.
Software Demonstrations
Session: TA34
Date/Time: Tuesday 08:00-09:30
Type:
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Track:
Cluster:
Room: Westmount
Chair:
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- TA34.1
Software Demonstration: ERGO - A Comprehensive Decision Analysis Tool for Real World Problems Edward S. Robbins --- Arlington Software, , , (erobins@arlingsoft.com)
- ERGO is a new tool designed for large MCDA common business problems. These include procurement, risk analysis, Y2K, project monitoring/performance measurement and personnel hiring/performance measurement. The latest in graphical interfaces, ERGO elicits and portrays data in a way the average manager can understand. Specialized loss functions provide a normative approach to the implementation of MAU...
- TA34.2
Software Demonstration: XPRESS-MP Robert Daniels --- DASH Associates Ltd., Church Lane, Blisworth, Northants, NN7 3BX , UK (rcd@dash.co.uk)
- Release 10 of XPRESS-MP offers reengineering simplex optimizers and a new homogenous barrier algorithm. The MIP solver radically reduces the number of nodes required in the B&B search. The 'top-end' models solve an order of magnitude faster. The XPRESS optimizers are now the fastest available across the board.
Decision Support Systems IV
Session: TA35
Date/Time: Tuesday 08:00-09:30
Type: Contributed
Sponsor:
Track:
Cluster:
Room: St. Leonard
Chair: Art Warburton
Chair Address: Simon Fraser Univ., Fac. of Bus. Admin., Burnaby, BC, V5A 1S6 , Canada
Chair E-mail: warburto@sfu.ca
- TA35.1
A Decision Support System for Assigning Teaching Assistants to Courses Art Warburton, Flora Loong --- Simon Fraser Univ., Fac. of Bus. Admin., Burnaby, BC, V5A 1S6 , Canada (warburto@sfu.ca)
- We describe a multiple criterion DSS for assigning teaching assistants to courses. The system can automatically assign teaching assistants (via a mathematical program or heuristic) or can operate in an interactive model.
- TA35.2
Winpre: Workbench for Interactive Preference Programming Jyri Helenius, Raimo P. Hamalainen --- Helsinki Univ. of Tech., PO Box 1100, Otakaari 1 M, Espoo, FIN-02015 , Finland (http://www.hut.fi/Units/Systems.Analysis)
- Winpre is a decision support software for multiattribute weighting models which allow imprecisely defined preferences. These are called preference programming methods and include PAIRS (interval value tree), SMARTER and interval AHP. The full software and related references can be downloaded from http://www.hut.fi/Units/Systems.Analysis/Downloadables/ for academic purposes.
- TA35.3
A Business Opportunity Tracking System with VBA Chaiho Kim --- Santa Clara Univ., Sch. of Bus., McKenna Hall, Santa Clara, CA 95053 , ()
- We present an Excel-based business opportunity tracking system for a corporation with a worldwide network of field offices. We will show how VBA of Excel can build a system where business opportunity databases must be uploaded from field offices to regional offices and then from regional offices to corporate headquarters.
Constraint-Based Programming: Fielded Applications
Session: TA37
Date/Time: Tuesday 08:00-09:30
Type: Sponsored
Sponsor: CSTS
Track:
Cluster:
Room: Lachine
Chair: Scott Gualdoni
Chair Address: ILOG, Inc., 1901 Landings Dr., Mountain View, CA 94043 ,
Chair E-mail: gualdoni@ilog.com
- TA37.1
Constraint-Based Satellite Scheduling for Iridium, Inc. Fred L. Garrett --- ILOG, Inc., 5217 Old Spicewood Springs Rd., Ste. 202, , , (garrett@ilog.com)
- Iridium, Inc. has embarked on a mission to create a global cellular telephone system. The satellite constellation is currently being populated and will soon contain enough satellites to initiate operations. We describe the scheduling of contacts between ground-station control centers and satellites. In particular, we discuss the use of a constraint-based scheduling library, Ilog Scheduler, in the current Iridium Link Scheduler.
- TA37.2
Building Maintainable Scheduling & Resource Allocation Engines: LILCO's Experience Jacob Feldman, Nicholas P. Sekas --- IntelEngine CTO, 2 Overview Ct., Edison, NJ 08817 , (feldman@ilog.com)
- We discuss the development and maintenance of ILOG-based scheduling and resource allocation engines in real production mode for the Long Island Lighting Company. We concentrate on the importance of user involvement during the entire system life cycle. Several design patterns that support direct user involvment in order to customize/extend the engines' functionality will be presented.
- TA37.3
Staff Scheduling with ILOG Solver Donovan R. Hare --- Okanagan Univ. Coll., Dept. of Math. & Stats., 3333 College Way, Kelowna, BC, V1V 1V7 , Canada (dhare@okanagan.bc.ca)
- We describe the design and development of a staff scheduling software product, the Expert Rotation Generator (ERG). ERG's engine uses ILOG's Solver library to create staff rotations. The user can interact with ERG during the generation process by modifying the constraints and by selecting a partial rotation. The search can also be controlled.
- TA37.4
No Title Supplied Didier Vergamini --- ILOG, Inc., 1901 Landings Dr., Mountain View, CA 94043 , (vergamini@ilog.com)
- We present the design and the implementation of a fielded application in the domain of car production sequencing. The main characterics of this application is that it deals with an heavily overconstrained problem. We describe the architecture of the combination of local optimizations and relaxations that produces operational results of outstanding quality.
Wireless Communication/Channel Assignment
Session: TA38
Date/Time: Tuesday 08:00-09:30
Type: Sponsored
Sponsor: TST
Track:
Cluster:
Room: Outremont
Chair: Brigitte Jaumard
Chair Address: Ecole Polytech. of Montr=fal, Dept. of Math & IE, CP 6079, Succ. Centre-ville, Montreal, Quebec, H3C 3A7 , Canada
Chair E-mail: brigitt@crt.umontreal.ca
- TA38.1
Column Generation & Lower Bounds For the Channel Assignment Problem Brigitte Jaumard, Odile Marcotte, Christophe Meyer --- Ecole Polytech. of Montr=fal, Dept. of Math & IE, CP 6079, Succ. Centre-ville, Montreal, Quebec, H3C 3A7 , Canada (brigitt@crt.umontreal.ca)
- We propose a generalized linear programming formulation of the channel assignment problem with co-channel, adjacent channel, cosite and intermodulation constraints. We discuss how to transfer some of the constraints in the auxiliary problem in order to solve the problem efficiently. Preliminary computational results will be presented on Bell Mobilit=E9 data.
- TA38.2
A Tiling Approach To The Channel Assignment Problem Jeannette Janssen, Kyriakos Kilakos, Lata Narayanan --- Acadia Univ., Dept. of Math., Wolfville, NS, B0P 1X0 , Canada (jeannette.janssen@acadiau.ca)
- We will show a model of channel assignment problems based on re-assigned network pieces called tiles. This model makes optimal use of a certain repetivity in the structure which cellular networks frequently exhibit. The tiling approach has the advantage that methods from Mathematical Programming and the study of Integer Polyhedra can be used for its analysis.
- TA38.3
Design of An Efficient Channel Block Retuning Brigitte Jaumard, Vincent Barbera --- Ecole Polytech. of Montr=fal, Dept. of Math & IE, CP 6079, Succ. Centre-ville, Montreal, Quebec, H3C 3A7 , Canada (brigitt@crt.umontreal.ca)
- Cellular networks must be updated very often. Due to technical and economical reasons, the complete channel resetting of an urban network has to be done in several steps. We propose an ascent-descent method to retune a network over a given number of periods. Computational results will be presented on Bell MobilitE data for a network with 359 cells.
- TA38.4
Comparing Lagrange & SDP Relaxations for Weighted Coloring Problems Arising in Frequency Assignment Thierry Defaix, Xavier Hardy, Benoit Rottembourg --- Ctr. d'Elect. de l'Armement, CELAR/TCOM/TR, BP7, Rennes Armees, 35998 , France (defaix@maths.univ-rennes1.fr)
- Many frequency assignment problems can be formulated as weighted coloring problems asking: color sets to be balanced, or adjacent nodes to have sufficiently distant frequencies in the available spectrum. We will discuss comparisons of bundle based Lagrange and SDP relaxations for fixed frequency design problems arising in military applications.
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Network-Level ATIS I: Analysis & Algorithms
Session: TB01
Date/Time: Tuesday 09:45-11:15
Type: Sponsored
Sponsor: TSS & IFORS
Track:
Cluster:
Room: St. Laurent
Chair: Hani S. Mahmassani
Chair Address: Univ. of TX, Dept. of Civil & Env. Eng., ECJ 6.2, Austin, TX 78712-1076,
Chair E-mail: masmah@mail.utexas.edu
- TB01.1
Modeling Commuter Behavior Under Real-Time Traffic Information Peter S. Chen, Hani S. Mahmassani --- Univ. of TX, Dept. of Civil Eng., ECJ 6.2, Austin, TX 78712 , (Peter_Chen@mail.utexas.edu)
- The behavioral processes underlying within-day departure time adjustment and en-route diversion decisions of commuters, along with day-to-day departure time and route choices, as influenced by the provision of ATIS are examined in this paper, including the modeling of day-to-day dynamics of travel time prediction by commuters on their next trip.
- TB01.2
Development of Dynamic Control Strategies for Managing Freeway Incident Traffic Omar Sawaya, Athanasios Ziliaskopoulos --- Northwestern Univ., Civil Eng., 2145 Sheridan Rd., Tech. Inst., Evanston, IL 60208 , (obo720@hecky.acns.nwu.edu)
- We propose an approach that computes alternate routes around incidents, as well as other control and management strategies on a time-dependent basis, in response to the prevailing traffic conditions. The approach consists of a System Optimum Dynamic Traffic Assignment (SO-DTA) algorithm, a traffic simulator, a heuristic control strategies general algorithm and various communication and data processing components. The proposed design is implemented and tested on a sizable network under various scenarios of incident severity and congestion levels.
- TB01.3
Application of Simulation & Optimization for Special Event Route Guidance Jun-Seok Oh, R. Jayakrishnan, Jeffrey Adler --- Univ. of CA, Civil & Env. Eng., Irvine, CA 92697 , (jun@translab.its.uci.edu)
- Real-time route guidance for traffic is constrained by factors such as the availability of information supply hardware, their locations, and display characteristics. Optimization results do not necessarily translate to implementable ATIS routing schemes. We describe the framework developed for the City of Anaheim, CA, based on simulation, and discuss the performance results.
- TB01.4
Comparative Analysis & Testing of Hybrid Route Guidance Systems Yi-Chang Chiu, Yaser Hawas, Hani S. Mahmassani --- Univ. of TX, Dept. of Civil Eng., ECJ 6.2, Austin, TX 78712 , (ychiu@mail.utexas.edu)
- Both centralized and decentralized DTA approaches have been proposed for route guidance in traffic networks, reflecting different viewpoints of control logic and required information. We present the framework of a hybrid system which integrates the two approaches, and discusses comparative numerical results.
Heuristic Approaches to Practical Vehicle Routing Problems with Time Windows
Session: TB02
Date/Time: Tuesday 09:45-11:15
Type: Sponsored
Sponsor: TSS
Track:
Cluster:
Room: Bersimis
Chair: J. Wesley Barnes
Chair Address: Univ. of TX, Grad. Prog. in OR & IE, Austin, TX 78712 ,
Chair E-mail: wbarnes@mail.utexas.edu
- TB02.1
An Overview of Time Windows in Practical Vehicle Routing Problems Alex Van Breedam --- Univ. of Antwerp, JPMG Orinoco, Neerveldstraat 101-103, Brussels, B-1200 , Belgium (avanbreedam@kpmg.com | rua.us.ac.be/~tew/php/alexvb.htm)
- Time windows are part of a frequently occurring category of side-constraints in real-life vehicle routing problems. However, their appearance can vary considerably with respect to their type, hard, soft, gliding, etc., as well as to their nature, customers, vehicles, drivers, depots, etc. An overview of different types of time windows together with their implementation problems in heuristics is presented.
- TB02.2
Solving Vehicle Routing Problems with Time Windows from the Real World Buyang Cao --- ESRI Inc., Dept. Transport/Log. Service, 380 New York St., Redlands, CA 92373 , (baco@esri.com)
- We present a heuristic to solve VRPTW with a set of complicated side constraints. The problems can be found in home delivery and home service industry. We also discuss how to apply the GIS techniques to solve the problems more efficiently. A system used to solve real VRPTW and the economic benefit achieved by this system are presented.
- TB02.3
A Hierarchical Approach to Shortest-Path Problems in Vehicle Routing Problems Kevin S. Ruland, Roark D. Weil, Asdrubal Garcia-Ortiz --- Systems & Electronics Inc., 201 Evans Lane, St. Louis, MO 63121 , (kruland@seistl.com)
- A hierarchical algorithm is presented by categorizing road types which can find good solutions to the SPP quickly on a 386-class embedded computer. The algorithm limits the search space by first routing the vehicle to a trunk road, then highway and back to a trunk road on the way to its destination.
- TB02.4
Multiple Insertion: A Heuristic Algorithm for the VRP & Service Dispatching Problems with Time Windows Xinnong Yang --- Transportation Services, ESRI. Inc., 380 New York St., Redlands, CA 92373 , (xyang@esri.com)
- We present a new heuristic algorithm for solving VRPs and service dispatching problems. It evaluates the insertion cost, violation cost and other constraints in consideration of multiple insertion candidates simultaneously. Depending on different types of problems, various insertion strategies could be employed to suit different purposes. Based on the initial solution, a post-insertion (transfer/swap) procedure is introduced...
HAZMAT Logistics
Session: TB03
Date/Time: Tuesday 09:45-11:15
Type: Sponsored
Sponsor: TSS
Track:
Cluster:
Room: Gatineau
Chair: Vedat Verter
Chair Address: McGill Univ., Fac. of Mgmt., 1011 Sherbrooke St. W, Montreal, Quebec, H3A 1G5 , Canada
Chair E-mail: verter@management.mcgill.ca
- TB03.1
Harmonization of Regulations on the International Transport of Dangerous Goods Rolanda Kuncte, Claire Laberge-Nadeau, Teodor Gabriel Crainic --- Univ. of Montreal, CP 6128, Succ. Centre-ville, Montreal, Quebec, H3C 3J7 , Canada (rolanda@crt.umontreal.ca)
- The international regulation system relative to dangerous goods transportation by all modes and the activities of the international organizations related to the transport of hazardous materials will be presented. We also discuss the current process of harmonization of the international regulations for the different modes.
- TB03.2
A New Network Model for HazMat Transportation Amina Benterki, Teodor Gabriel Crainic, Michel Gendreau --- Univ. of Montreal, CRT, CP 6128, Succ. Centre-ville, Montreal, Quebec, H3C 3J7 , Canada (amina@crt.umontreal.ca)
- Most models aimed at determining routes for hazardous materials do not measure the possible impact, in terms of risk or equity, of several routes, of various materials, transiting through a given region. We propose a new model to account for these 'network effects'. Algorithmic issues will also be discussed.
- TB03.3
A Tabu Search Heuristic for the Location of Inspection Stations Isabelle Parent, Michel Gendreau, Gilbert Laporte --- Univ. of Montreal, CRT, CP 6128, Succ. Centre-ville, Montreal, Quebec, H3C 3J7 , Canada ()
- We present a tabu search heuristic for the location of location inspection stations at vertices of a network. Given a traffic pattern described by O/D flows, the aim is to capture as much traffic as possible for a given number of stations. Computational results are presented.
- TB03.4
On the Risks of Transporting Dangerous Goods Vedat Verter --- McGill Univ., Fac. of Mgmt., 1011 Sherbrooke St. W, Montreal, Quebec, H3A 1G5 , Canada (verter@management.mcgill.ca)
- We focus on the societal risks of HAZMAT transportation. First, we provide a framework for HAZMAT transport risk assessment, then present a comparison of the risks of HAZMAT transport in the US, Canada and Germany. Finally, we summarize a recent risk assessment study conducted in Alberta, Canada.
Operations Management III
Session: TB04
Date/Time: Tuesday 09:45-11:15
Type: Contributed
Sponsor:
Track:
Cluster:
Room: Harricana
Chair: Arvinder S. Loomba
Chair Address: Univ. of Northern IA, Coll. of Bus. Admin., Dept. of Mgmt., Cedar Falls, IA 50614-0125,
Chair E-mail: arvinder.loomba@uni.edu
- TB04.1
An Investigation of Forgetting in Batch Manufacturing Timothy L. Smunt, Jack R. Meredith, John G. Wilson --- Wake Forest Univ., Babcock Grad. Sch. of Mgmt., Winston-Salem, NC 27109-7659, (tim_smunt@mail.mba.wfu.edu)
- We investigate the existence and form of forgetting within a complex, batch manufacturing environment. The data analyzed comes from the market share leader of a health care products manufacturer and includes 4 years of production cost information for component parts and subassemblies.
- TB04.2
Market-In Approach & Real Quality Assurance Carlos L. Yukimura --- Brazilian Quality & Productivity Inst., R Dr. Correa Coelho, 741 Jardim Botanico, Curitiba, Parana, 80210-350 , Brazil (carlos@ibqppr.org.br)
- A customer oriented organization assume a series of conditions to create an environment and structure to develop a real quality assurance to its products. In this paper will be described the market-in approach and procedures to develop a real quality assurance system.
- TB04.3
Inventory & Investment in Quality Improvement Under ROI Maximization K. Jo Min, Toshitsugu Otake --- IA State Univ., IMSE Dept., 205 Engineering Annex, Ames, IA 50011 , (jomin@iastate.edu)
- We first formulate an inventory model with an option to invest in quality improvement under return on investiment (ROI) maximization. Next, we characterize the unique global optimal solution and derive several interesting managerial insights. Finally, we obtain and analyze the closed-form solutions under a linear investment function.
- TB04.4
withdrawn - author request of 2/19 Arvinder S. Loomba, Michael S. Spencer --- Univ. of Northern IA, Coll. of Bus. Admin., Dept. of Mgmt., Cedar Falls, IA 50614-0125, (arvinder.loomba@uni.edu)
Pricing Issues in Supply Chain Management
Session: TB05
Date/Time: Tuesday 09:45-11:15
Type: Sponsored
Sponsor: MSOM
Track:
Cluster:
Room: Grand Salon
Chair: Ananth V. Iyer
Chair Address: Purdue Univ., Krannert Grad. Sch., 1310 Krannert Bldg., W Lafayette, IN 47907-1310,
Chair E-mail: ayer@mgmt.purdue.edu
- TB05.1
Pricing in a Supply Chain Ajay K. Asthana --- Diamond Tech. Partners Inc., 875 N Michigan Ave., Ste. 3000, Chicago, IL 60611 , (asthanaa@diamtech.com)
- Many experts assert that outsourcing non-core functions creates a pricing advantage, however, when demand volume is low this strategy may actually create a price disadvantage. This case study illustrates the movement of a retailer from outsourced manufacturing and distribution to batches and loads, in response to decrease in overall profitability.
- TB05.2
Design of Pricing Contracts in Supply Chains Under Risk Aversion Sridhar Seshadri, Vipul Agrawal --- NYU, OP, Stats. & OR Dept., 40 W 4th St., Ste. 701B, New York, NY 10012-1118, (sseshadr@stern.nyu.edu)
- We derive an optimal menu of contracts for a distributor selling to many risk averse retailers using parsimonious data. The contracts are shown to maximize the distributor's expected profit and joint welfare. We also investigate the influence of product/market characteristics on the design of the menu.
- TB05.3
Optimal Bundle Pricing Under Risk Ralph Fuerderer, Arnd H. Huchzermeier --- Adam Opel AG, Tech. Development Ctr. Europe, Ruesselshiem, 65423 , Germany (lo1be.rfeurd01@gmeds.com)
- We introduce a modeling approach which enables product planners to generate a high-profitability product line at an early stage of the new product development process. Both marketing and manufacturing concerns are considered, i.e., fixed manufacturing costs and random customer choices. The presented solution approach is powerful enough to tackle non-convex optimization problems of many applications.
- TB05.4
The Impact of Pricing in a Grocery Supply Chain Ananth V. Iyer, Jianming Ye --- Purdue Univ., Krannert Grad. Sch., 1310 Krannert Bldg., W Lafayette, IN 47907-1310, (ayer@mgmt.purdue.edu)
- We model a grocery supply chain with stores that are supplied inventory from a warehouse whose inventory is managed by a vendor. We use a dataset of sales of canned tomato soup to model the promotional environment and determine optimal store price promotions. We evaluate the impact of market share constraints, wholesale price changes and scanner based vendor promotions on the manufacturer and the retailer.
Production Systems Modeling in Industry
Session: TB06
Date/Time: Tuesday 09:45-11:15
Type: Sponsored
Sponsor: MSOM
Track:
Cluster:
Room: Richelieu
Chair: Dennis E. Blumenfeld
Chair Address: GM R&D Ctr., OR Dept., MC 480-106-359, 30500 Mound Rd., Warren, MI 48090-9055,
Chair E-mail: dblumenf@cmsa.gmr.com
- TB06.1
Practical Issues in Supply Chain Management Shuchen Li, Ramakrishna Desiraju --- IBM Corp., Consulting Group, 522 South Rd., Poughkeepsie, NY 12601-5400, (li@us.ibm.com)
- We discuss complex supply chain management issues in today's environment. Increased performance of computers has made quantitative optimization viable in redesigning logistics networks. To consider real estate issues, tax incentives and third party logistics, we use optimization techniques in an iterative manner. The extended supply chain management concept is also discussed.
- TB06.2
Decision Support System for the Management of an Agile Repair Supply Chain Christophe Begue, Roger Gung, Omer Bakkalbasi --- Philips Research, Industrial Dynamics Group, 345 Scarborough Rd., Briarcliff Manor, NY 10510-2027, (cxb@philabs.research.philips.com)
- A prototype software for a supply chain management DSS for the repair operation of the E3A aircraft is presented. It supports three decision processes: (1) Demand Management, (2) Repair-Demand Reconciliation, and (3) Repair Management. It is built around a discrete event simulation of the entire supply chain process.
- TB06.3
Optimizing Production & Inventory in a Global Specialty Chemicals Supply Chain David B. Kletter --- Booz Allen & Hamilton, 101 Park Ave., New York, NY 10178 , (kletter_david.@bah.com)
- We will describe the application of an optimization model for tactical planning of a global specialty chemicals supply chain. this model uses linear programming with heuristics to minimize worldwide production, distribution and inventory holding costs under demand constraints. The application context, the model, implementation challenges, and results will be discussed.
- TB06.4
Evaluation & Selection of Projects in Decentrally Controlled Production/Distribution Systems Stephan R. Biller --- GM R&D Ctr., OR Dept., MC 480-106-359, 30500 Mound Rd., Warren, MI 48090-9055, (stephan_biller@notes.gmr.com)
- We evaluate capacity expansions in 2-stage multi-facility sysstems based on leadtime performance. This is especially important in decentrally controlled systems since investing in ?wrong? projects might result in a worse performance (Braess-like paradox). We select a project portfolio to maximize the reduction in leadtime given a budget constraint. An industry application is discussed.
Panel: Publishing in Manufacturing & Operations Management
Session: TB07
Date/Time: Tuesday 09:45-11:15
Type: Sponsored
Sponsor: MSOM
Track:
Cluster:
Room: Matapedia
Chair: Mark L. Spearman
Chair Address: GA Inst. of Tech., Sch. of ISyE, Atlanta, GA 30332 ,
Chair E-mail: mark.spearman@isye.gatech.edu
- TB07.1
Panel: Publishing in Manufacturing & Operations Management Patrick T. Harker, Wallace J. Hopp, Leroy B. Schwarz, Mark L. Spearman --- Univ. of PA, OPIM Dept., Wharton Sch., 1300 SH-DH, 3620 Locust Walk, Philadelphia, PA 19104-6366, (harker@wharton.upenn.edu)
- In recent years there has been great changes in both the number of outlets and the means of publishing scientific papers. In spite of these advances, the time to have a paper reviewed does not appear to have decreased while the quality of the reviews appears to have gotten worse. This panel will address these and other issues.
Management of Technological Hazards
Session: TB08
Date/Time: Tuesday 09:45-11:15
Type: Sponsored
Sponsor: Technology Management Section
Track:
Cluster:
Room: Chaudiere
Chair: Bernard Sinclair-Desgagne
Chair Address: Ecole Polytech. of Montreal, Dept. of Math. & IE, PO Box 6079, Sta. Centre-ville, Montreal, Quebec, H3C 3A7 , Canada
Chair E-mail: desgagnb@cirano.umontreal.ca
- TB08.1
Sharing Responsibilities for Major Technological Risks Marcel Boyer --- Ecole Polytech. of Montreal, CP 6079, Succ. Centreville, Montreal, Quebec, H3C 3A7 , Canada (boyerm@cirano.umontreal.ca)
- TB08.2
Decision Support Systems & Risk Management: What Can We Learn From Past Events? Marie-Christine Therrien --- SAIC, 455 rue Saint-Antoine Ouest, Bureau 311, Montreal, Quebec, H2Z 1J1 , Canada (eyquem@cam.org)
- TB08.3
Asymmetries of Information in the Prevention of Back Injuries Daniel Leblanc, Robert Gilbert, Sylvie Nadeau --- Ecole Polytech. of Montreal, CP 6079, Centreville, Montreal, Quebec, H3C 3A7 , Canada ()
- TB08.4
Risk Audits Bernard Sinclair-Desgagne --- Ecole Polytech. of Montreal, Dept. of Math. & IE, PO Box 6079, Sta. Centre-ville, Montreal, Quebec, H3C 3A7 , Canada (desgagnb@cirano.umontreal.ca)
Modular Product & Knowledge Architecture in New Product Development
Session: TB09
Date/Time: Tuesday 09:45-11:15
Type: Sponsored
Sponsor: Technology Management Section
Track:
Cluster:
Room: St. Charles
Chair: Michael Pich
Chair Address: INSEAD, Boulevard de Constance, Fontainebleau Cedex, 77305 , France
Chair E-mail: mpich@insead.fr
- TB09.1
Authority & Control in the Product Development Process Sharon Novak, Steven D. Eppinger, Charles Fine --- MIT, Sloan Sch. of Mgmt., 77 Massachusetts Ave., Cambridge, MA 02139 , ()
- We argue that 'make/buy' is an inadequate representation of the supply organization problem faced by industrial firms. We frame the question as 'own/operate/manage', where the latter choices refer to the deployment of the organization's productive assets. Our model is based on extensive data collection at luxury performance auto manufacturers worldwide.
- TB09.2
Product Platform Strategies in the World Automobile Industry Andreas Cornet, Arnd H. Huchzermeier --- McKinsey & Co. Inc., Koenigsallee 60c, Dusseldorf, 40027 , Germany (andreas_cornet@mckinsey.com)
- A survey we conducted on the use of product platforms in the worldwide automobile industry shows that significant economic benefits can be achieved. Furthermore, we develop a tradeoff model explicitly taking into account development costs, product costs, product performance and time-to-market issues. Data from application case studies are presented.
- TB09.3
The Real Options Value of Modular Product Architecture Christoph H. Loch, Michael Pich --- INSEAD, Blvd. de Constance, Fontainebleau, 77305 , France (loch@insead.fr)
- In predevelopment activities, a design organization must decide on the product architecture and performance targets for each of the components within this architecture, well ahead of observing actual market demand. We show that modular product architecture can have real options value in terms of the degrees of freedom that it provides in meeting multiple, possible correlated market demand attributes.
- TB09.4
The Architecture of Knowledge & Information Flows in New Product Development Processes Anil Khurana, P. R. Balasubramanian --- Boston Univ., Sch. of Mgmt., 595 Commonwealth Ave., Boston, MA 02215 , (akhurana@bu.edu)
- Participants in the new product development process have to deal with several types of knowledge, information, and data. Current research does not distinguish between these different types. We present a framework for the architecture of knowledge management, and show how an information systems environment could be modeled.
Session:
Date/Time:
Type:
Sponsor:
Track:
Cluster:
Room:
Chair:
Chair Address:
Chair E-mail:
Tutorial: Branch & Cut & Price
Session: TB20
Date/Time: Tuesday 09:45-11:15
Type: Invited
Sponsor:
Track:
Cluster:
Room: Marquette
Chair: Paolo Toth
Chair Address: Univ. of Bologna, DEIS, Viale Risorgimento 2, Bologna, 40136 , Italy
Chair E-mail: ptoth@deis.unibo.it
- TB20.1
Tutorial: Branch & Cut & Price George L. Nemhauser --- GA Inst. of Tech., Sch. of ISyE, Atlanta, GA 30332-0205, (george.nemhauser@isye.gatech.edu)
- Branch-and-cut (price) integrates B&B and cutting plane (column generation) methods for solving MIPs. At each node of the tree, cuts may be added (columns may be generated) to tighten (improve) the LP relaxation. Our presentation explains why and when these methods work and how to use them in practice.
Advances in Simulation Methodology
Session: TB21
Date/Time: Tuesday 09:45-11:15
Type: Sponsored
Sponsor: College on Simulation
Track:
Cluster:
Room: Cote St. Luc
Chair: Bruce W. Schmeiser
Chair Address: Purdue Univ., Sch. of IE, 1287 Grissom Hall, W Lafayette, IN 47907-1287,
Chair E-mail: bruce@purdue.edu
- TB21.1
Numerical Retrospective Optimization Jihong Jin, Bruce W. Schmeiser --- Purdue Univ., Sch. of IE, 1287 Grissom Hall, W Lafayette, IN 47907-1287, ()
- We extend ideas from Fen Chen's retrospective approximation for stochastic root finding to optimization problem, requiring improving approximations in both increasing sample size and decreasing solution error. Almost-sure convergence is shown and computational issues are discussed.
- TB21.2
Augmentations of Cramer-von Mises Variance Estimators for Simulations David Goldsman, Keebom Kang, Murat Koksalan, Daniel Ockerman, Andrew F. Seila, Gamze Tokol --- GA Inst. of Tech., Sch. of ISyE, Atlanta, GA 30332 , (sman@isye.gatech.edu)
- We give new point and confidence interval estimators for the mean and variance parameter arising from a steady-state simulation process. The estimators are augmentations and generalizations of standardized time series Cramer-von Mises estimators. Analytical and empirical examples demonstrate the good performance of the estimators.
- TB21.3
Balanced Likelihood Ration Methods for Analyzing Highly Reliable Systems Christos Alexopoulos, Bruce Shultes --- GA Inst. of Tech., Sch. of ISyE, 765 Ferst Dr., Atlanta, GA 30332-0205, ()
- We present a class of variance reduction methods for computing performance measures of highly reliable systems. These methods are importance sampling with 'well-behaved' likelihood ratios and rely on semi-Markov or semi-stationary formulations based on sets of states with a fixed number of failed components. We use examples to show that the proposed methods overcome limitations of existing methods in moderate-to-large networks.
Frameworks for Group Decision & Negotiation: Group Composition, Relationships & Task Performance
Session: TB22
Date/Time: Tuesday 09:45-11:15
Type: Sponsored
Sponsor: Group Decision & Negotiation Section
Track:
Cluster:
Room: Pointe Aux Trembles
Chair: Harris Sondak
Chair Address: Stanford Univ., Graduate School of bus., Stanford, CA 94305-5015,
Chair E-mail: sondak1@leland.Stanford.EDU
- TB22.1
Team Diversity as a Decision Making Karen Jehn, Sherry Bushnell-Thatcher --- Univ. of PA, Wharton School, Philadelphia, PA 19104-6330, (jehnk@wharton.upenn.edu)
- We present an overview of current research on diversity in workgroups and its influence on group processes and outcomes. We then introduce a model which predicts decision quality based on a newly developed typology of group diversity. Conflict, communication, and identity fit are considered mediators in the model.
- TB22.2
Groups After Upheaval: The Influence of Relationships and Attitudes Kathleen L. Valley, Tracey Thompson --- Harvard Univ., Harvard Bus. School, Boston, MA 02163 , (kvalley@hbs.edu)
- Group 'products' have 3 dimensions: tangible production, generation of ideas, and intragroup relationships. In times of upheaval, individually held attitudes and mutually practiced relations can affect these products. Using data on organizational upheaval, we model how individually held attitudes and relations with others interact to influence group products.
- TB22.3
Egalitarian Values in Self-Managing Teams: Positive & Negative Effects on Team Processes Ruth Wageman --- , Columbia Univ., Graduate School of Bus., NY, NY 10027 , (rwageman@research.gsb.columbia.edu)
- Individuals differ in their values about equity of effort distribution and outcome distribution in teams. This longitudinal survey study examines the influence of high task and outcome interdependence on these values. Team conflict and performance are affected by strong collective equity values, individual self-esteem, and group idientification.
- TB22.4
The Relational Models Approach to Group Decision Making, Status & Allocation Harris Sondak --- Stanford Univ., Graduate School of bus., Stanford, CA 94305-5015, (sondak1@leland.Stanford.EDU)
- I discuss the the resolution of fundamental paradoxes of group process in performing groups according to Fiske's catgegories of social structure (communal sharing, authority ranking, equality matching, market pricing). The constitution of these groups, their decision making, and their concern with status reveal how combinations of relational models affect group performance.
Implications of Recent Psychological Results for DA Practice
Session: TB23
Date/Time: Tuesday 09:45-11:15
Type: Sponsored
Sponsor: Decision Analysis Society
Track:
Cluster:
Room: Jacques Cartier
Chair: Elke U. Weber
Chair Address: Ohio State University, 1885 Neil Avenue, Dept. of Psych. & Mngmnt. & hr, Columbus, OH 43210 ,
Chair E-mail: weber.211@osu.edu
- TB23.1
Predicting Choices from Emotions Barbara Mellers --- OH St. Univ., Psych. Dept., 1885 Neil Ave., Columbus, OH 43210 , (mellers.1@osu.edu)
- People often imagine how they will feel about the outcomes of decisions and those imagined feelings serve as guides to choice. We provide an account of experienced emotions called decision affect theory. Despite these differences between emotional experiences and utilities, there is considerable overlap between maximizing subjective expected pleasure and subjective expected utility.
- TB23.2
Quality Adjusted Life Years Utility Assessment Under Non-EU Assumptions John Miyamoto --- Univ. of WA, Box 351525, Dept. of Psych., Seattle, WA 98195 , (jmiyamot@u.washington.edu)
- The QALY utility model is usually applied in medical DA under EU assumptions and the assumption of linear utility of survival duration. We present work on QALY utility assessment under the less restrictive assumptions of rank-dependent utility and nonlinear utility of survival duration.
- TB23.3
Predicting Health Decisions: The Application of Subjective Expected Utility & Remaining Challenges Young-Hee Cho, Robin L. Keller, M. Lynne Cooper --- Univ. of Missouri, Dept. of Psych., Columbia, , ()
- We critically examine the application of the SEU to modeling risk-taking behaviors and review the studies which investigate the predictive validity of SEU for risk-reducing or preventative measures. We then discuss challenges in modeling health decisions, including the complexity of health decision making and difficulty in eliciting the decision components.
- TB23.4
Reasons for Rank-Dependent Utility Evaluation Elke U. Weber --- Ohio State University, 1885 Neil Avenue, Dept. of Psych. & Mngmnt. & hr, Columbus, OH 43210 , (weber.211@osu.edu)
- Three reasons for evaluating utility in a rank-dependent fashion have been suggested: perceptual biases, individual predispositions in weighting and rational adaptation to an asymmetric loss function. We present evidence for all 3 processes which have different implications for successful debiasing procedures.
Multicriteria Decision Making I
Session: TB24
Date/Time: Tuesday 09:45-11:15
Type: Contributed
Sponsor:
Track:
Cluster:
Room: Longueuil
Chair: John F. Wellington
Chair Address: Capital Univ., GSA, 2199 E Main St., Columbus, OH 43209-2394,
Chair E-mail: runnerjohn@aol.com
- TB24.1
An Attempt to Provide Characterization of Some Discrete Multicriterion Decision Aid Procedures Adel Guitouni, Jean-Marc Martel --- Univ. Laval, Op. et Sytemes de Decision, CP 604, Fac des Sci de l'admin, Quebec, Quebec, G1K 7P4 , Canada (guitouna@osd.ulaval.ca)
- The great number and the diversity of MCDA procedures proposed in the literature suggest to carry out a systematic and axiomatic analysis. The purpose of this analysis is to provide elements (axioms) to characterize these MCDA procedures on one hand, and to show the weaknesses and strengths of each procedure on the other. As emphasized by Pirlot (1994), the axiomatization of a procedure is not in general unique...
- TB24.2
A Genetic Algorithm for the Multiple Criteria Decision Problem Juan C. Leyva-Lopez --- Univ. Autonoma de Sinaloa, Priv. San Pedro 2292, Fracc. Nueva Vizcaya, Culiacan, Sinaloa, 80020 , Mexico (jleyva@uas.uasnet.mx)
- A new genetic algorithm that allows exploit a known fuzzy outranking relation is introduced with the purpose of construct a prescription for the ordering multiple criteria decision problem.
- TB24.3
Application of Multicriteria Methods in Statistical Estimation John F. Wellington, Subhash C. Narula --- Capital Univ., GSA, 2199 E Main St., Columbus, OH 43209-2394, (runnerjohn@aol.com)
- The least squares criterion of minimizing the sum of squared deviations is well known, well understood and for these reasons well applied to estimating the unknown parameters of the multiple linear regression model. We propose methods for incorporating other less known, less understood but meaningful criteria in the same estimation setting.
Stochastic Models in Manufacturing
Session: TB25
Date/Time: Tuesday 09:45-11:15
Type: Sponsored
Sponsor: Applied Probability Section
Track:
Cluster:
Room: St. Laurent
Chair: Martin L. Puterman
Chair Address: Univ. of British Columbia, Fac. of Comm., BRAMMS, 2053 Main Mall, Vancouver, BC, V6T 1Z2 , Canada
Chair E-mail: marty@markov.commerce.ubc.ca
- TB25.1
Throughput for CONWIP Controlled Assembly-Type Queueing Networks Hayriye Ayhan --- GA Inst. of Tech., Sch. of ISyE, Atlanta, GA 30332-0205, (hayhan@isye.gatech.edu)
- We examine the throughput of CONWIP controlled assembly-type queueing networks where machine processing times are drawn from general distributions. The system dynamics are characterized via a set of stochastic difference equations; it is shown that the system state can be modeled by a discrete index Markov chain on a continuous state space.
- TB25.2
Stochastic Asset Replacement with Budget Constraints James C. Bean --- Univ. of MI, 1205 Beal St., Ann Arbor, MI 48109-2117, (james.bean@umich.edu)
- Many real equipment replacement problems, such as those arising in manufacturing, have the characteristics that assets degrade according to a stochastic process, and replacement decisions are constrained by capital expenditure budgets. The problem can be modeled as a set of nonhomogeneous Markov decision processes with coupling constraints from the capital budgets.
- TB25.3
Computation of Optimal Policies in a Two-Time Scale Switching Diffusion Manufacturing Model Alain B. Haurie, Jerzy A. Filar --- HEC-Uni Mail, 102 Carl Vogt, Geneve 4, CH-1211 , Switzerland (haurie@ibm.unige.ch)
- Manufacturing flow control models have been developed with the use of a piecewise deterministic control system paradigm. Manufacturing systems are often composed of two subsystems, the production process and the machine failure and repair process, that are represented as a continuous and a discrete random process respectively.
- TB25.4
Stochastic Tool Life Models in Flexible Manufacturing Bernard F. Lamond, Manbir S. Sodhi, Martin Noel --- Univ. Laval School of Bus., Dept. Op. & Dec. Systems, Fac. of Admin. Sci., Quebec, Quebec, G1K 7P4 , Canada (bernard.lamond@fsa.ulaval.ca)
- We address the problem of choosing the cutting speed of a flexible machine-tool to minimize the expected total processing time. The tool life is a random variable with a known distribution. Tool failures cause a setup time and thus increase processing time. We assume the coefficient of variation is given and the mean tool life is a function of the cutting speed governed by Taylor's formula.
Inventory Management III
Session: TB27
Date/Time: Tuesday 09:45-11:15
Type: Contributed
Sponsor:
Track:
Cluster:
Room: St. Michel
Chair: Moula Cherikh
Chair Address: VA State Univ., Dept. of IS & Dec. Sci., POB 9038, Petersburg, VA 23806 ,
Chair E-mail: mcherikh@vsu.edu
- TB27.1
Style Goods Pricing with Competition Alper Sen, Alex X. Zhang --- Univ. of Southern CA, IOM Dept., Los Angeles, CA 90027 , (asen@usc.edu http://www-rcf.usc.edu/~asen)
- We study the pricing decisions of two companies which have to sell their fixed stock of items over a finite horizon. Both companies have the option to change the price once in the horizon with the objective of maximizing their (expected) profits. Equilibrium price switching times and some structural properties are derived for the deterministic ans stochastic demand.
- TB27.2
Effects of Centralization on Expected Profits in a Multi-Location Newsboy Problem with Excess Demand Reallocation Moula Cherikh --- VA State Univ., Dept. of IS & Dec. Sci., POB 9038, Petersburg, VA 23806 , (mcherikh@vsu.edu)
- A decentralized multi-location newsboy problem where portions on excess demand at each location are reallocated to other locations is considered. The model is compared to the centralized model where all demands are satisfied from one central warehouse. Expected profits are evaluated and conditions are derived under which centralization is better.
- TB27.3
A Logistics DSS: An Inventory & a Field Service Support System Chrissoleon Papadopoulos --- University of the Aegean, Dept. of Bus. Admin., Chios, 82100 , Greece (hpap@aegean.gr)
- Two DSSs are integrated into a single unified logistics DSS. The first is an inventory DSS and the second is a support system for field service which utilizes a queueing network model developed by Waller and a simulation model. Both models are useful tools for strategic allocation of resources by a field service manager to improve customer service.
The WWW for Classroom Teaching & for Distance Learning
Session: TB28
Date/Time: Tuesday 09:45-11:15
Type: Sponsored
Sponsor: Forum on Education
Track:
Cluster:
Room: Mont Royal
Chair: Thomas A. Grossman
Chair Address: Univ. of Calgary, Fac. of Mgmt., 2500 University Dr. NW, Calgary, Alberta, T2N 1N4 , Canada
Chair E-mail: grossman@mgmt.ucalgary.ca;informs.org/informed/
- TB28.1
New Web Technologies & Distance Education Ronald S. Tibben-Lembke --- Univ. of NV, MS 028, MS & Logistics, Reno, NV 89557 , (rtl@unr.edu)
- We will focus on the use of new technologies, including telephony and video via the Web, whiteboardls, remotely accessing pc's via the Web, and other methods for sharing information via the Web. Also, other observations teaching 60 students on 3 sites, some over 300 miles away.
- TB28.2
Testing Students on What You Expect Them to Know: Online Exams & Semi-Automated Marking for a Large Management Science Course Armann Ingolfsson --- Univ. of Alberta, Fac. of Bus., Edmonton, Alberta, T6G 2R6 , Canada (armann.ingolfsson@ualberta.ca | ualberta.ca/~aingolfs/)
- As the focus of an OR/MS course shifts from algebraic manipulation to spreadsheet-based modeling, changes in how students are evaluated are needed. I will discuss some of the challenges (on-line exams) and opportunities (semi-automated marking) of doing this, based on experience with online exams in a class of 350 students.
- TB28.3
Using the Web for Faculty Development & Student Mentoring Ruth A. Maurer --- Walden Univ., 155 5th Ave. S, Minneapolis, MN 55401 , (rmaurer@waldenu.edu)
- Many colleges and universities are developing web-based instruction with students in mind. Walden University has extended this idea to faculty development. Online seminars are provided for faculty by faculty. These seminars address such topics as online instructional pedagogy and use of technology, mentoring of students, and collaborative research techniques.
Airline Cargo Revenue Management
Session: TB29
Date/Time: Tuesday 09:45-11:15
Type: Sponsored
Sponsor: Aviation Applications Section
Track:
Cluster:
Room: Hampstead
Chair: Bob Phillips
Chair Address: Decision Focus Inc., Suite 300, Mountain View, CA 94041 ,
Chair E-mail: bobp@dfi.com
- TB29.1
Demand Forecasting for Air Cargo Brian Monteiro --- DFI/Aeronomics, 650 Castro St., Ste. 300, Mountain View, CA 94041 , ()
- Demand forecasting for air cargo RM presents special challenges not encountered in passenger RM applications. In particular, both the weight and volume of the shipment must be forecast. In addition, the characteristics of the shipment as received may be significantly different from those of the booking. We discuss these and other aspects of air cargo forecasting and how they have been addressed in application.
- TB29.2
Target Pricing at UPS Mark Rudel, Tom Guardino, Robert A. Marshalla --- UPS, 55 Glenlake Parkway NE, Mail B3F6, Atlanta, GA 30328 , ()
- Target pricing applies RM to account pricing by setting guidelines that maximize expected profit through balancing margin and market share in each customer market segment. Target pricing at UPS integrates market-based pricing within a bid performance monitoring process. Price sensitivity is measured by statistical analysis of historical bid outcomes.
- TB29.3
Scheduling Railway Freight Delivery Appointments Using a Bid Price Approach Chip Kraft --- AMTRAK, 400 Capitol St. NW, 7th Fl., Washington, DC 20001 , (chipkraft@aol.com)
- Gain coefficients represent customer recapture probabilities in a modified MCNF formulation. The problem is solved within 1% gap using the subgradient algorithm. Service offers are determined using a modified shortest path procedure. A primal Lagrangian heuristic will also be described.
Threats to Life & Limb
Session: TB32
Date/Time: Tuesday 09:45-11:15
Type: Sponsored
Sponsor: Public Programs & Processes Section
Track:
Cluster:
Room: Frontenac
Chair: Arnold I. Barnett
Chair Address: MIT, Sloan Sch. of Mgmt., OR Ctr., E53-379, Cambridge, MA 02139-4307,
Chair E-mail: abarnett@mitvma.mit.edu
- TB32.1
Isolating Cohort & Period Effects in the Recent Rise in Youth Violence Alfred Blumstein --- Carnegie Mellon Univ., The Heinz School, 5000 Forbes Ave., Pittsburgh, PA 15213-3890, (ab0q@andrew.cmu.edu)
- Youth violence grew dramatically in 1985-93. A cohort effect would show itself in a continuation of the elevated rates of violence. A period effect would show even those youth returning to prior age-specific levels. We examine cohort-specific trends to separate the cohort from the period effect.
- TB32.2
Would Reducing the Harm Drugs Cause a User Reduce or Increase Total Harm to Society? Jonathan P. Caulkins --- Carnegie Mellon Univ., Heinz Sch., 5000 Forbes Ave., Pittsburgh, PA 15213 , (caulkins@andrew.cmu.edu)
- Total harm equals use times average harm per unit use. Traditional policies seek to reduce use, sometimes driving up harm per unit use in the process. Progressives advocate reducing harm per unit use, but how much would that increase use? A simple model yields interesting answers.
- TB32.3
Priority Dispatching in Emergency Medical Services Systems Marvin B. Mandell --- UMBC, Policy Sciences Grad. Program, 100 Hilltop Circle, Baltimore, MD 21250 , (mandell@umbc.edu)
- TB32.4
Safe at Home? Some Analyses of Domestic Aviation Security Arnold I. Barnett --- MIT, Sloan Sch. of Mgmt., OR Ctr., E53-379, Cambridge, MA 02139-4307, (abarnett@mitvma.mit.edu)
- Terrorist bombs have never destroyed US domestic aircraft; after Oklahoma City, the World Trade Center, and the Olympic bombings, however, it is unclear that the future in this regard is simply the extrapolation of the past. We consider some quandaries about the cost and effectiveness of various measures meant to reduce the risk of domestic air terrorism.
Facility Planning & Design
Session: TB33
Date/Time: Tuesday 09:45-11:15
Type: Contributed
Sponsor:
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Cluster:
Room: St. Lambert
Chair: Gunter P. Sharp
Chair Address: GA Inst. of Tech., Sch. of ISyE, 765 Ferst Dr., MC 0205, Atlanta, GA 30332-0205,
Chair E-mail: gsharp@isye.gatech.edu
- TB33.1
Application of Weighted Sums of Order p to Distance Estimation Halit Uster, Robert F. Love --- McMaster Univ., MS/S Dept., 1280 Main Street West, Hamilton, Ontario, L8S 4M4 , Canada (usterh@mcmaster.ca www.business.mcmaster.ca/msis/phd/halit/halit.htm)
- We examine the properties of weighted sums of order p and the goodness-of-fit criterion Sum of Squared Deviations used in modelling distances. We discuss the distance fitting procedures using these functions and present comparisons with weighted Lp-norm.
- TB33.2
Difference of Convex Optimization Methods for Multisource Location Problems Faiz A. Al-Khayyal, Hoang Tuy, Fangjun Zhou --- GA Inst. of Tech., Sch. of ISyE, Atlanta, GA 30332-0205, (faiz@isye.gatech.edu)
- Finding the optimal locations of many copies of the same facility is formulated as a DC optimization problem and solved by an extension to our early method for single facility location problems. Customers may either be attracted to or repelled by a facility. Computational results are reported.
- TB33.3
An Algorithm for the Unequal Area Facility Layout Problem Considering Production Uncertainty Bryan A. Norman, Alice E. Smith --- Univ. of Pittsburgh, 1048 Benedum Hall, Pittsburgh, PA 15261 , (banorman@engrng.pitt.edu)
- We propose an evolutionary solution methodology for the unequal area facility layout problem where there is product flow uncertainty. Layouts are developed that are robust across a range of different product flows. We evaluate these layouts using an aisle distance metric that considers input and output location placement.
- TB33.4
Consideration of Demand Variability & Demand Correlation in Product Storage Space Requirements Gunter P. Sharp --- GA Inst. of Tech., Sch. of ISyE, 765 Ferst Dr., MC 0205, Atlanta, GA 30332-0205, (gsharp@isye.gatech.edu)
- Product storage space requirement based on textbook formulas for shared storage are too optimistic. We examine the effects of product demand variability, correlations among product demands, and the frequency of product re-assignment, using date from a parts distributor. Implications for activity-based and family-based storage are discussed.
Software Demonstrations
Session: TB34
Date/Time: Tuesday 09:45-11:15
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- TB34.1
Software Demonstration: Optimization Solutions Gyana Parija --- IBM, 522 South Rd., Dept. 33DA, MS P35, Poughkeepsie, NY 12601 , ()
- We demonstrate the power and flexibility of IBM's new Stochastic Solutions product for defining, modifying and solving stochastic systems. The stand alone stochastic solver and the callable DLL will be shown, as well as the powerful, yet easy to use, capabilities for inputting SMPS, saving stochastic models, modifying stochastic distributions and solving the resulting models. This will be followed by a brief update on the rest of the Optimization Solution products.
- TB34.2
Software Demonstration: A Simple Interface for a Complex Modeling System Joseph B. Creegan --- Ketron Management Science, 1755 Jefferson Davis Highway, Ste. 901, Arlington, VA 22202 , ()
- Ketron's Logistics Optimization System, LOPTIS, is a multi-period mixed-integer modeling system that models industrial logistics from acquisition of raw materials through delivery of finished products. The simple MS Access interface that controls execution and provides model data management will be demonstrated.
Object-Oriented Approaches
Session: TB35
Date/Time: Tuesday 09:45-11:15
Type: Contributed
Sponsor:
Track:
Cluster:
Room: St. Leonard
Chair: Chang-Ouk Kim
Chair Address: Korea Univ., Inst. for Info. & Comm. Tech., Anam-Dong 5-Ga, Sungbuk-Gu, Seoul, 136-701 , Korea
Chair E-mail: kimco@kuccnx.korea.ae.kr
- TB35.1
An Object-Oriented Domain Analysis/Design for Hierarchical Manufacturing Systems Chang-Ouk Kim, Sung-Schick Kim --- Korea Univ., Inst. for Info. & Comm. Tech., Anam-Dong 5-Ga, Sungbuk-Gu, Seoul, 136-701 , Korea (kimco@kuccnx.korea.ae.kr)
- Hierarchical manufacturing system is characterized by functional integration and physical distribution. To develop a reusable production control S/W for such a system, we propose an object-oriented domain analysis and design methodology which generates several reusable production control frameworks.
- TB35.2
An Application of Object-Oriented CIM S/W Sung-Schick Kim, Chang-Ouk Kim --- Korea Univ., Dept. of IE, Anam-Dong, Sungbuk-Gu, Seoul, 136-701 , Korea (sungskim@kuccnx.korea.ac.kr)
- To ensure flexibility, reusability, and extensibility, we propose an object-oriented framework for CIM S/W. The framework-based S/W is being applied to automate the production process of an automobile part company
- TB35.3
Constructions Ambigues Pour les Objets de Base de Donnees Samuel F. Coppage --- Old Dominion Univ., 2621 Myrtle Ave., Norfolk, VA 23504 , ()
- La consideration des constructions ambigues pour la specification des operations sur une base de donnees basee sur son calcul des types et des dictions naturelles variees. Une explication des methodes automatiques de desambiguisation.
Pre-Solution Analysis of Mathematical Programs
Session: TB37
Date/Time: Tuesday 09:45-11:15
Type: Sponsored
Sponsor: CSTS
Track:
Cluster:
Room: Lachine
Chair: John W. Chinneck
Chair Address: Carleton Univ., Systems & Computer Eng., 1125 Colonel By Dr., Ottawa, Ontario, K1S 5B6 , Canada
Chair E-mail: chinneck@sce.carleton.ca
- TB37.1
Look Before You Leap: Preprocessing through Random Sampling Richard J. Caron, Arnon Boneh --- Univ. of Windsor, Dept. of Math., Stats. & Econ., 401 Sunset Ave., Windsor, Ontario, N9B 3P4 , Canada (rcaron@uwindsor.ca)
- We present a technique for sampling points in n-space that generate a set of binary words containing information about feasibility and redundancy. The words form a set-covering matrix whose corresponding feasible solutions provide information on minimal infeasible sets, on irreducible inconsistent systems, and on minimal representations. The technique is applicable to very general constraint sets.
- TB37.2
Compiling & Solving 100,000 Nonlinear Equations in Minutes on a PC Arthur W. Westerberg, Benjamin A. Allan, Kenneth H. Tyner --- Carnegie Mellon Univ., Dept. of Chem. Eng., Pittsburgh, PA 15213 , (a.westerberg@cmu.edu)
- We analyze the par/whole structure of complex models to preorder equations for LU factorization and to determine the number of types of equations to compile, getting significant time reductions for both. We also describe a new robust yet fast solver.
- TB37.3
Estimating the 'Shape' of Nonlinear Functions & Regions John W. Chinneck --- Carleton Univ., Systems & Computer Eng., 1125 Colonel By Dr., Ottawa, Ontario, K1S 5B6 , Canada (chinneck@sce.carleton.ca)
- How do you determine the 'shape' (convex? concave? both? linear?) of a nonlinear function of many variables? MProbe is a software system for estimating 'shape'. This paper gives an overview of MProbe, including the new facility for estimating the convexity of a region defined by a set of constraints.
Wireless Networks
Session: TB38
Date/Time: Tuesday 09:45-11:15
Type: Sponsored
Sponsor: TST
Track:
Cluster:
Room: Outremont
Chair: Cem U. Saraydar
Chair Address: Rutgers Univ., WINLAB, Dept. of Elect. Eng., PO Box 909, Piscataway, NJ 08855-0909,
Chair E-mail: saraydar@winlab.rutgers.edu
- TB38.1
Optimum Power Schedules for CDMA Access Channels Aylin Yener, Christopher Rose, Roy Yates --- Rutgers Univ., PO Box 909, WINLAB, Dept. of Elect. Eng., Piscataway, NJ 08855-0909, (yener@winlab.rutgers.edu)
- We consider the system access problem for CDMA networks where accessing users' transmissions interfere with active traffic channels and study how transmit power should be varied with each successive access attempt so that the linear combination of average power expended and the average delay experienced by the accessing user is minimized.
- TB38.2
Computation of Lower Bounds for Channel Block Assignment Problem Pascal Adjakple, Brigitte Jaumard --- Ecole Polytech. of Montreal, GERAD & Dept. of M&IE, CP 6079 Station centre-ville, Montreal, Quebec, H3C 3A7 , Canada (pascal@crt.umontreal.ca)
- We propose a new linear 0-1 formulation for the channel assignment problem with co-channel and adjacent channel constraints which requires column generation techniques for its solution. This leads to a new class of lower bounds.=20 Preliminary results are presented on two Bell Mobility problems.
- TB38.3
Planning Issues in Wireless ATM Brunilde Sanso, Kayetan Litwin --- Ecole Polytech. of Montreal, CRT, GERAD, Math. & IE Dept., CP 6079 Succ Centreville, Montreal, Quebec, H3C 3A7 , Canada (bruni@crt.umontreal.ca)
- We make an overview of the most important issues related to the deployment of ATM wireless systems. In particular in what concerns dimensioning, quality of service and the relationship with wired ATM.
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Network-Level ATIS II: Effect of Information
Session: TC01
Date/Time: Tuesday 13:30-15:00
Type: Sponsored
Sponsor: TSS & IFORS
Track:
Cluster:
Room: St. Laurent
Chair:
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- TC01.1
Commuter Route & Departure-Time Choice Behavior Under Congested Conditions Karthik K. Srinivasan, Hani S. Mahmassani, Peter S. Chen --- Univ. of TX, Civil Eng., ECJ 6.2, Austin, TX 78712 , USA (kksriniv@alpha61.ce.utexas.edu)
- Tripmakers' route and departure time choices directly determine both within-day and day-to-day dynamics commuting systems. Commuter behavior under congested conditions is examined, based on data from laboratory experiments, using a multinomial probit framework.
- TC01.2
ATIS Market Penetration Under Multiple Objective Dynamic Traffic Assignment Jeffrey Adler, Tzu-li Wu, Victor Blue --- RPI, Dept. of Civil Eng., 110 8th St., Troy, NY 12180 , (adlerj@rpi.edu)
- We look at market penetration rates for ATIS under multiple objective DTA. Sensitivity analysis is carried out for sets of competing objectives and various weighting functions.
- TC01.3
Effect of Information Supply in Transmit Systems: Simulation Study R. Jayakrishnan, Ana C. Fill --- Univ. of CA, Dept. of Civil & Env. Eng., Irvine, CA 92697 , (rjayakri@uci.edu)
- A simulation model is developed for bus transit systems, to study the effect of information supply schemes. The model operates in conjunction with an arterial/freeway traffic simulator and uses realistic traffic variables for modelling bus movements. Results on studying the effect of information supply strategies such as bus arrival information at the stops, partial supply strategies such as information only for certain stops and bus lines, are discussed.
- TC01.4
Transit Route Guidance System: Data Requirements & Algorithms Jeffrey Adler, Jack Reilly --- RPI, Dept. of Civil Eng., 110 8th St., Troy, NY 12180 , (adlerj@rpi.edu)
- The development of a route guidance system for transit that will assist travelers to plan transit trips is discussed. The system takes as inputs an OD location in a network, a desired travel time, and a travel objectives and generates for a rider the best transit path and estimated travel times. The focus of this presentation is on the data requirements and the analytical specification of the algorithm.
Real-Time Vehicle Dispatching
Session: TC02
Date/Time: Tuesday 13:30-15:00
Type: Sponsored
Sponsor: TSS
Track:
Cluster:
Room: Bersimis
Chair: Jean-Yves Potvin
Chair Address: Univ. of Montreal, CRT, CP 6128 Succ Centre-Ville, Montreal, Quebec, H3C 3J7 , Canada
Chair E-mail: potvin@iro.umontreal.ca
- TC02.1
A Parallel Heuristic to Assist Real-Time Ambulance Redeployment Operations Frederick Semet, Michel Gendreau, Gilbert Laporte --- Univ. of Montreal, CRT, CP 6128, Succ. Centre-ville, Montreal Quebec, H3C 3J7 , Canada (frederic@crt.umontreal.ca)
- The potential of emergency medical service to save lives is related to the time needed by a paramedic team to arrive on scene. This time can be reduced by a redeployment of available ambulances to potential location sites. In this talk, we present a parallel tabu search heuristic to find good solutions to the real-time redeployment problem.
- TC02.2
Parallel Tabu Search for Dynamic Vehicle Routing & Dispatching with Pick-Ups & Deliveries Jean-Yves Potvin, Michel Gendreau, Francois Guertin, Rene Seguin --- Univ. of Montreal, CRT, CP 6128 Succ Centre-Ville, Montreal, Quebec, H3C 3J7 , Canada (potvin@iro.umontreal.ca)
- We address the problem of dispatching a fleet of vehicles in real time to service requests with both a pick-up and a delivery location. The problem is solved as a sequence of static problems using a parallel TS heuristic with a neighborhood structure based on ejection chains. Numerical results for different search strategies are presented.
- TC02.3
Diversion for Real-Time Vehicle Dispatching Soumia Ichoua, Michel Gendreau, Jean-Yves Potvin --- Univ. de Montreal, CRT & DIRO, CP 6128, Succ. Centre-ville, Montreal, Quebec, H3C 3J7 , Canada (soumia@crt.umontreal.ca)
- In real-time vehicle dispatching, the ability to divert a vehicle away from its current destination to serve a request that just occurred in the vicinity of its current position may be a valuable alternative. An empirical evaluation of diversion is performed in a context where each request contains a single pick-up (or, exclusive, delivery) location.
Operating to a Plan: On Target for a Scheduled Railway
Session: TC03
Date/Time: Tuesday 13:30-15:00
Type: Sponsored
Sponsor: RASIG
Track:
Cluster:
Room: Gatineau
Chair: Michael Beeby
Chair Address: Canadian National Railway, 935 de LaGauchetiere Ouest, Montr=fal, Qu=fbec, H3B 2M9 , Canada
Chair E-mail: beeby@cn.ca
- TC03.1
Operating to Plan Anshu A. Pathak --- Canadian National Railway, 935 rue de LaGauchetiere Ouest, PO Box 8100, Montreal, Quebec, H3C 3N4 , Canada (pathak@cn.ca)
- In their bid to become more competitive, cost efficient and customer responsive, many North American railways are moving towards the 'Operating to Plan' or a scheduled railway philosophy. Canadian National's efforts in this direction will be discussed. This includes the OPT architecture and components (forecasting, train planning, resource validation) and a discussion of our experience with these system components.
- TC03.2
Operating to Plan: Forecasting Train Workload George Rowan --- Canadian National Railway, 935 rue de LaGauchetiere Ouest, Montreal, Quebec, H8Z 2S2 , Canada (rowan02@cn.ca)
- As part of the CN's 'Operating to Plan' initiative, much emphasis was placed on the forecasting of expected train workload. This workload includes traffic originating on CN's lines and traffic received at interchanges from other railroads. The trials, failures and triumphs of the forecasting layman will be presented.
Operations Management IV
Session: TC04
Date/Time: Tuesday 13:30-15:00
Type: Contributed
Sponsor:
Track:
Cluster:
Room: Harricana
Chair: Mohammad M. Amini
Chair Address: Univ. of Memphis, Fogelman Coll. of Bus. & Econ., Memphis, TN 38152 ,
Chair E-mail: mamini@cc.memphis.edu
- TC04.1
Profit Maximization of By-Product Manufacturing Processes Wendell G. Gilland --- Univ. of NC, Kenan-Flagler Bus. Sch., 316 Old Forest Creek Dr., Chapel Hill, NC 27514 , (wendell_gilland@unc.edu)
- We analyze a manufacturing process that naturally produces 2 or more products that are differentiated by their quality. We assume the option is available to downgrade higher quality products and sell them into the lower quality market and derive conditions for when this option will be exercised.
- TC04.2
The Worker Scheduling Scheme for Maximum Work Efficiency & Minimum Load Deviation Hongchul Lee, Sung-Schick Kim --- Korea Univ., IE Dept., 1 5-Ka Anam-dong, Sungbuk-ku, Seoul, 137-701 , Korea (hclee@kuccnx.korea.ac.kr)
- We present the mathematical formulation and the network flow based solution procedure for assigning workers to machines, in such a way that the overall utilization of workers is maximized as well as the variation of workload among workers is minimized, simultaneously. this problem can be formulated as a preemptive goal programming....
- TC04.3
A Model of Learning & Turnover by Telephone Call Center Employees Yongpin Zhou, Noah F. Gans --- Univ. of PA, OPIM Dept., The Wharton Sch., Philadelphia, PA 19104-6366, (yongpin@wharton.upenn.edu)
- Telephone call centers employ service representatives who learn and turn over in a systematic fashion. Intelligent call-routing and staffing decisions are vital to their success, yet traditional queueing models are not applicable in this setting. We develop and analyze models for these systems. Results and insights will be discussed.
- TC04.4
Improving Service Quality within Roche's International Supply Chain: Optimization Models for Maintenance Crew Domicile Selection Mohammad M. Amini, Donna L. Retzlaff-Roberts --- Univ. of Memphis, Fogelman Coll. of Bus. & Econ., Memphis, TN 38152 , (mamini@cc.memphis.edu)
- Roche, an international pharmaceutical and medical equipment company, introduced a new multi-million dollar laboratory equipment that is capable of conducting a number of medical tests on a single blood sample. With hundreds of maintenance crews to provide a 6-hour maintenance cycle time for a large number of installations, the issue at hand is to determine crew domiciles...
Retail Assortment & Inventory Planning
Session: TC05
Date/Time: Tuesday 13:30-15:00
Type: Sponsored
Sponsor: MSOM
Track:
Cluster:
Room: Grand Salon
Chair: Garrett J. van Ryzin
Chair Address: Columbia Univ., 412 Uris Hall, New York, NY 10027 ,
Chair E-mail: gjv1@columbia.edu
- TC05.1
Managing Inventory of Products with Substitutes & Complements in Retailing Naren Agrawal, Stephen Smith --- Santa Clara Univ., OMIS, Leavey Sch. of Bus., Santa Clara, CA 95053 , ()
- We present an analytical model to determine the optimal retail assortment when customers can purchase complementary sets of items, and may substitute among sets if some items are unavailable. The effect of complements and substitutes on item demand and service level is discussed along with key insights from numerical examples.
- TC05.2
Managing Variety on the Retail Shelf: Using Scanner Data to Rationalize Assortments Ravi Anupindi, Sachin Gupta, N. Venkataramanan --- Northwestern Univ., KGSM, 2001 Sheridan Rd., Evanston, IL 60208 , (r-anupindi@nwu.edu)
- We propose a model for the rationalization of retail assortment and stocking decisions for retail category management. Important features include customer heterogeneity in intrinsic preferences for items, substitution, disutility incurred by consumers due to limited assortment. We demonstrate an empirical application of our proposed model using household scanner panel data for ten items in a popular grocery category.
- TC05.3
Assortment Planning in Fashion Retailing: Models, Application & Analysis Kumar Rajaram --- UCLA, Anderson Sch., Op. & Tech. Mgmt., Box 951481, Los Angeles, CA 90095-1481, (krajaram@anderson.ucla.edu)
- In assortment planning, retailers typically classify their merchandise into classes. The questions of how many and what classes to include in the line relate to other basic issues of the mix between basic and fashion products, inventory depth and breadth, etc. We develop models to address these issues and apply them to a large catalog retailer.
- TC05.4
Stocking an Assortment of Substitutable Products: Structure & Computation Garrett J. van Ryzin, Siddharth Mahajan --- Columbia Univ., 412 Uris Hall, New York, NY 10027 , (gjv1@columbia.edu)
- We discuss stocking an assortment of products under a discrete choice, utility maximizing consumer demand process. We investigate convexity and submodularity properties of the profit function and propose an efficient method for computing optimal stocking levels.
Production/Inventory Planning & Control Under Uncertainty
Session: TC06
Date/Time: Tuesday 13:30-15:00
Type: Sponsored
Sponsor: MSOM
Track:
Cluster:
Room: Richelieu
Chair: Valerie Tardif
Chair Address: Univ. of TX, Grad. Program in OR/IE, Dept. of Mech. Eng., Austin, TX 78712-1063,
Chair E-mail: vtardif@mail.utexas.edu
- TC06.1
Production/Inventory Systems with Failures & Limited Repair Capacity Seyed M. R. Iravani, Izak Duenyas, Tava Lennon Olsen --- Univ. of MI, IOE Dept., Ann Arbor, MI 48109-2117, (iravani@engin.umich.edu)
- We consider a problem where multiple heterogeneous machines are operating as separate production/inventory systems but must share repair crews (the machine-interference problem). We study methods to concurrently set inventory targets and to schedule the repair crews so as to minimize holding and lost-sale penalty costs.
- TC06.2
An Extended PAC System & its Optimization using Simulation Sherman X. Bai --- Univ. of FL, ISE Dept., 303 Weil Hall, Gainesville, FL 32611 , (bai@ise.ufl.edu)
- We extend the PAC system by Buzacutt and Shanthikumar to include the Hedging Control policy by Bai and Gershwin. The production control system can be optimized via simulation optimization using frequency and wavelet analysis.
- TC06.3
Analysis of Kanban Controls for Systems Prone to Defects with Lost Sales Paul H. Zipkin, Yves P. Dallery, Rolf Forsberg --- Duke Univ., Fuqua Sch. of Bus., Durham, NC 27708-0120, (zipkin@mail.duke.edu)
- Consider a multi-stage production system with lost sales, controlled by a kanban policy. Each stage may occasionally produce defective units. The yields, production times, and customer demands are stochastic. We present and evaluate an approximation method for performance analysis.
- TC06.4
Finite-Capacity Production Planning & Diagnostic Under Uncertainty Valerie Tardif --- Univ. of TX, Grad. Program in OR/IE, Dept. of Mech. Eng., Austin, TX 78712-1063, (vtardif@mail.utexas.edu)
- We present scheduling and diagnostic procedures for the problem of planning production in a finite-capacity manufacturing environment with supply and demand uncertainty. We make use of stochastic optimization models and heuristics to get feasible and robust schedules.
Technology Management Issues
Session: TC07
Date/Time: Tuesday 13:30-15:00
Type: Contributed
Sponsor:
Track:
Cluster:
Room: Matapedia
Chair: R. Ray Gehani
Chair Address: Univ. of Akron, Dept. of Mgmt., 259 S Broadway, Akron, OH 44325-4801,
Chair E-mail: rgehani@uakron.edu
- TC07.1
withdrawn - author request of 3/24 X. Michael Song, Jinhong Xie --- MI State Univ., N334 North Bus. Complex, E Lansing, MI 48824-1122, (songx@pilot.msu.edu)
- TC07.2
withdrawn - author request of 4/2 Joris Meijaard --- Erasmus Univ., Burg. Oudlaan 50, Rm. H9-12, Rotterdam, 3062 PA , The Netherlands (meijaard@few.eur.nl)
- TC07.3
Transition Management in NetWorking (Mode 3) Organizations Dottie J. Eastman, Niels Agger-Gupta, Efrem G. Mallach --- The Fielding Inst., PO Box 61122, Kensington RPO, Calgary, Alberta, T2N 4S6 , Canada (dartt@ibm.net http://www.dartt.com)
- Strategic shifts in management of technology, operations, personnel and information occur in organizations that successfully transition from using networks to increase efficiency (Mode 1) and effectiveness (Mode 2), to become NetWorking Organizations (Mode 3) that use technology to redesign operations. New responsibilities involve integration management, information quality assurance...
- TC07.4
The Dual Product Warranty & Life Cycle Stages of Technology Intensive Products R. Ray Gehani, Jay G. Patankar, Amit Mitra --- Univ. of Akron, Dept. of Mgmt., 259 S Broadway, Akron, OH 44325-4801, (rgehani@uakron.edu)
- A manufacturer of a technology intensive product may offer an initial product warranty during its introductory stage and offer a different product warranty during the growth stage of its product life cycle. The initial product warranty may be either liberal or conservative. We discuss the dual warranty problem in the 2 stages of a product life cycle.
Knowledge for Development: Management & Policy Initiatives
Session: TC08
Date/Time: Tuesday 13:30-15:00
Type: Sponsored
Sponsor: Technology Management Section
Track:
Cluster:
Room: Chaudiere
Chair: Pedro T. Conceicao
Chair Address: Univ. of TX, iC2 Inst., 2815 San Gabriel Ave., Austin, TX 78705 ,
Chair E-mail: pedroc@uts.cc.utexas.edu
- TC08.1
Policies to Promote Development Through Knowledge Accumulation Jeffrey W. Amos, Pedro T. Conceicao --- Univ. of TX, iC2 Institute, 2815 San Gabriel Ave., Austin, TX 78705 , ()
- The impact of technological change for economic growth has been increasingly re-conceptualized as a relationship between knowledge accumulation and economic development. The key factor in this new understanding is the ability to learn, at the individual, organizational, national, and regional levels, replacing the traditional perspective associated with innovation.
- TC08.2
The Evolution of Industrialization Policies in Mexico Vidal Garza-Cantu --- Univ. of TX, LBJ Sch., 2815 San Gabriel Ave., Austin, TX 78705 , (vidalg@uts.cc.utexas.edu)
- This paper analyzes the historical evolution of industrial policies in Mexico from the 1930's to date. It revises the role of the state and the business sector in stimulating growth and in policy making. It reveals that the present policies should be ones that stimulate regional capabilities instead of nation wide strategies...
- TC08.3
Building & Exploiting the Core Competencies of Firms: The Role of Technology Alejandro Ruelas-Gossi --- Univ. of TX, Austin, TX 78705 , (ruelas-gossi@mail.utexas.edu)
- We analyze the interrelationships among Core Competencies, Knowledge Management, Technology, Strategy. Building and Exploiting the Core Competencies deals with the continuous process that involves Knowledge Management, and the progression from Organization Learning to the inventory accumulation of Intellectual Capital, and on, to the measurement of the impact of the process on Aggregated Value in the Business Units. ...
- TC08.4
Innovation Policies for Portugal Francisco Veloso --- MIT, Cambridge, MA 02139 , ()
Managing Technology Networks
Session: TC09
Date/Time: Tuesday 13:30-15:00
Type: Sponsored
Sponsor: Technology Management Section
Track:
Cluster:
Room: St. Charles
Chair: John W. Medcof
Chair Address: McMaster Univ., Sch. of Bus., Hamilton, Ontario, L8S 4M4 , Canada
Chair E-mail: medcof@mcmaster.ca
- TC09.1
Relationship Networks in the Semiconductor Industry Tim Rowley --- Univ. of Toronto, Rotman Ctr. for Mgmt., 105 St. George St., Toronto, Ontario, M5S 3E6 , Canada (rowley@fmgmt.mgmt.utoronto.ca)
- Inter-firm relationships have often been studied from a dyadic perspective. Using social network analysis, this paper empirically examines how the web of technology-based relationships between semi-conductor manufacturers produces constraints and opportunities for firms in the network. It is argued that the network's structure and firms' locations influence relationship behaviours.
- TC09.2
The Role of Networking & Regional Impact in Contract Research & Teaching at Universities Jerome Doutriaux, Manfred Szabo --- Univ. of Ottawa, Faculty of Admin., PO Box 450, Ottawa, Ontario, K1N 6N5 , Canada (doutriaux@admin.uottawa.ca)
- TC09.3
Alliances & Survival Among Canadian Biotech Startups Brian S. Silverman, Joel Baum --- Univ. of Toronto, Rotman Ctr. for Mgmt., 105 St. George St., Toronto, Ontario, M5S 3E6 , Canada (silvarman@fmgmt.mgmt.utoronto.ca)
- Prominent among the strategies adopted by Canadian biotech startups is the formation of alliances with large chemical and pharmaceutical firms. The results of an empirical study of the role of alliances, technological capabilities, and technological flows/linkages in the survival of these biotechs are reported.
- TC09.4
Organizational Power in Transnational Technology Networks John W. Medcof --- McMaster Univ., Sch. of Bus., Hamilton, Ontario, L8S 4M4 , Canada (medcof@mcmaster.ca)
- Assignment of strategic work to overseas technology units and creation of strong communication networks among them are usually undertaken for reasons unrelated to power, but have important, often unanticipated, consequences for organizational power relationships. Strategic contingencies theory of power is used to articulate directions for research and adv ice for managers.
Tutorial: Software for Linear & Integer Programming
Session: TC19
Date/Time: Tuesday 13:30-15:00
Type: Invited
Sponsor:
Track:
Cluster:
Room: Duluth
Chair: Bruce L. Golden
Chair Address: Univ. of MD, PO Box 149, Simpsonville, MD 21150 ,
Chair E-mail: bgolden@umdac.umd.edu
- TC19.1
Tutorial: Software for Linear & Integer Programming Robert Fourer --- Northwestern Univ., Dept. of IE/MS, 2225 N Campus Dr., Evanston, IL 60208-3119, (4er@iems.nwu.edu)
- Having grown in variety and sophistication over the past decade, LP software is now available in a profusion of formats and packages. This presentation surveys current software for formulating, solving, analyzing and managing LPs, with or without integer variables. Recent trends in language, interface and algorithm design are emphasized.
Tutorial: An Introduction to Tabu Search
Session: TC20
Date/Time: Tuesday 13:30-15:00
Type: Invited
Sponsor:
Track:
Cluster:
Room: Marquette
Chair: James P. Kelly
Chair Address: Univ. of CO, College of Bus., Boulder, CO 80309 ,
Chair E-mail:
- TC20.1
Tutorial: An Introduction to Tabu Search Michel Gendreau --- Univ. de Montreal, CRT, CP 6128, Succ. Centre-ville, Montreal, Quebec, H3C 3J7 , Canada (michelg@crt.umontreal.ca)
- Over the past 10 years, TS has proven to be one of the most efficient heuristic techniques for tackling complex combinatorial problems. This tutorial is intended for newcomers to TS. Basic concepts will be carefully reviewed and tips for developing successful TS heuristics will be provided.
Regenerative Simulation & Variance Reduction
Session: TC21
Date/Time: Tuesday 13:30-15:00
Type: Sponsored
Sponsor: College on Simulation
Track:
Cluster:
Room: Cote St. Luc
Chair: James Calvin
Chair Address: NJIT, Simulation & Modeling Lab., Dept. of CIS, Newark, NJ 07102-1982,
Chair E-mail: calvin@cis.njit.edu
- TC21.1
Steady-State Simulation Using the Almost Regenerative Method Sigrun Andradottir, Peter W. Glynn --- GA Inst. of Tech., Sch. of ISyE, Atlanta, GA 30332-0205, ()
- The almost regenerative method treats hitting times of an 'almost regenerative' return set as regeneration times. We study the asymptotic behavior of this method as visits to the almost regenerative set get more and more rare. The limiting distribution we identify involves both Brownian motion and the Erlang distribution
- TC21.2
Some Results Related to the Estimation on Nonlinear Performance Measures in Simlation Experiments David F. Munoz --- Inst. Tecnologico Autonomo de Mexico, Dept. of IE/OM, Rio Hondo No. 1, Mexico DF, , Mexico ()
- We discuss experimental results from the application of a general methodology to produce asymptotically valid confidence intervals for estimation of functionals of a distribution (including quantile estimation) in simulation experiments. Our propsosed methodology can be used in both transient or steady-state simulation. For the case of quantile estimation we discuss the application of Nelson's ILRT estimator for variance reduction.
- TC21.3
Variance Reduction with Permuted Regenerative Estimators James Calvin, Marvin Nakayama --- NJIT, Simulation & Modeling Lab., Dept. of CIS, Newark, NJ 07102-1982, (calvin@cis.njit.edu)
- We propose a new estimator for a calss of performance measures obtained from a regenerative simulation of a system having at least two distinct sequences of regeneration times. The new estimator, constructed by permuting the cycles, has the same bias and lower variance than the standard regenerative estimator.
- TC21.4
Central Limit Theorems for Permuted Regenerative Estimators James Calvin, Marvin Nakayama --- NJIT, Simulation & Modeling Lab., Dept. of CIS, Newark, NJ 07102-1982, (calvin@cis.njit.edu)
- We prove strong laws of large numbers and central limit theorems for some permuted estimators from regenerative simulations. These limit theorems provide the basis for constructing confidence intervals for the estimators.
Frameworks for Group Decision & Negotiation: Intercultural Negotiation
Session: TC22
Date/Time: Tuesday 13:30-15:00
Type: Sponsored
Sponsor: Group Decision & Negotiation Section
Track:
Cluster:
Room: Pointe Aux Trembles
Chair: Gregory E. Kersten, Melvin F. Shakun
Chair Address: Carleton Univ., Sch. of Bus., 1125 Colonel By Drive, Ottawa, Ontario, K1S 5B6 , Canada
Chair E-mail: gregory@business.carleton.ca
- TC22.1
Inspire: A System for Web-Based Negotiation Research Gregory E. Kersten, Sunil J. Noronha --- Carleton Univ., Sch. of Bus., 1125 Colonel By Drive, Ottawa, Ontario, K1S 5B6 , Canada (gregory@business.carleton.ca)
- INSPIRE, the first Web-based negotiation support system, has been used by over one thousand people from more than forty countries. Not just a successful training tool, INSPIRE provides a unique opportunity for cross-cultural comparisons of negotiation technique, and of negotiation effectiveness and satisfaction.
- TC22.2
A Cross-Cultural Electronic Negotiation Rachel Croson, Rami Zwick --- Univ. of PA, 1322 SH-DH, Dept. of OPIM, Wharton School of Bus., Philadelphia, PA 19104-6366, (crosonr@opim.wharton.upenn.edu)
- This paper reports the results of an integrative negotiation run cross-culturally via e-mail. Students in the US and Hong Kong negotiated both within-and between-cultures. WE compare negotiated outcomes of intercultural pairs with those of intracultural pairs. An analysis of negotiation process is presented as well.
- TC22.3
Intercultural Negotiation with Evolutionary Systems Design Melvin F. Shakun --- NYU Stern School of Bus., 44 West 4 St., NY, NY 10012-1126, (mshakun@stern.nyu.edu)
- Using ESD, players in a multicultural group can be supported by an ESD computer culture in generating and formally representing an evolving common joint culture (a situational culture) with regard to the specific problem at hand--an intercultural evolving group problem representation and solution.
A Tutorial on Life & Death Decision Making
Session: TC23
Date/Time: Tuesday 13:30-15:00
Type: Sponsored
Sponsor: Decision Analysis Society
Track:
Cluster:
Room: Jacques Cartier
Chair: David G. Lowell
Chair Address: Strategic Decisions Group, 2440 Sand Hill Rd., Menlo Park, CA 94025-6900, USA
Chair E-mail: DLowell@sdgnet.com
- TC23.1
A Tutorial on Life and Death Decision Making Ronald A. Howard --- Stanford Univ., Dept. of EES & OR, Stanford, CA 94305-4025, (rhoward@sdg.com)
- Major life risks arise in health crises; minor ones in everyday life. A model incorporating life quality and quantity treats both. Simplification for minor risks: assess the risk in micromorts, 1/1,000,000 chances of death, multiply by the model's micromort value. Extensions cover major health risks and risks to a couple.
Multicriteria Decision Making II
Session: TC24
Date/Time: Tuesday 13:30-15:00
Type: Contributed
Sponsor:
Track:
Cluster:
Room: Longueuil
Chair: Vinai Trichur
Chair Address: Univ. of MD, Coll. of Bus. & Mgmt., College Park, MD 20742 ,
Chair E-mail: vtrichur@mbs.umd.edu
- TC24.1
A Multi-Objective Approach to Policy Evaluation & Development Kimberly A. Killmer, G. Anandalingam --- Univ. of PA, Dept. of Systems, 220 S 33rd St., Philadelphia, PA 19104-6315, (killmer@seas.upenn.edu | seas.upenn.edu/~kilmer)
- We describe a multi-objective framework for the evaluation and development of policy alternatives. A bi-level programming approach is utilized with the behavior of the agents modeled as a spatial price equilibrium (SPE) problem. A case study of international trade in hazardous waste is presented.
- TC24.2
Investment Decisions: A Simulation of Ambiguity & Uncertainty Paul D. Chwelos, Kenneth R. MacCrimmon --- Univ. of British Columbia, 2053 Main Mall, Vancouver, BC, V6T 1Z2 , Canada (chwelos@unixb.ubc.ca)
- A rule-based simulation of investment decision explores the trade-off between implementing investment opportunities immediately or delaying them to a partially resolve uncertainty. The decision rules are refined by a GA, yielding results comparable to net present value. Different base cases allow an analysis of changes in ambiguity.
- TC24.3
A Multiobjective Integer Programming Approach for New Product Development Vinai Trichur, Michael O. Ball --- Univ. of MD, Coll. of Bus. & Mgmt., College Park, MD 20742 , (vtrichur@mbs.umd.edu)
- We describe a multiobjective integer programming based model for new product development. Our model incorporates multiple, conflicting metrics that influence component, process, and supplier decisions at the design stage. We discuss an interactive solution procedure that generates efficient designs, and permits the evaluation of other quantities of economic interest.
- TC24.4
withdrawn - author request of 1/26 Larry Jenkins --- Royal Military Coll. of Canada, Business Admin., PO Box 17000, Stn Forces, Kingston, Ontario, K7K 7B4 , Canada (jenkins-l@rmc.ca)
Statistical & Warranty Models for Reliability Analysis
Session: TC25
Date/Time: Tuesday 13:30-15:00
Type: Sponsored
Sponsor: Applied Probability Section
Track:
Cluster:
Room: St. Laurent
Chair: Sudha Jain
Chair Address: Univ. of Toronto, Dept. of Stats., 100 St. George St., Toronto, Ontario, M5S 1A1 , Canada
Chair E-mail: jainsu@utstat.utoronto.ca
- TC25.1
Warranty Contracts & Equilibrium Probabilities Singpurwalla Nozer --- George Washington Univ., Dept. of OR, 707 22nd St. NW, Washington, DC 20052 , (nozer@gwuvm.gwu.edu)
- For every warranty contract that is specified there are equilibrium probabilities that the offeror and the purchaser implicity hold. These define a region within which the prior probabilities must lie for the contract to be consumated. We discuss this and related topics.
- TC25.2
Extended Warranties, Self Insurance, Adverse Selection & Moral Hazard Izzet Sahin, Hakan Polatoglu --- Univ. of WI, Sch. of Bus. Admin., Milwaukee, WI 53201 , (sahin@csd.uwm.edu)
- Based on an imperfect-repair process, we investigate: (1) cost to the provider of a given extended warranty or service contract, in the presence of user adverse selection or moral hazard, and (2) value to the user of a given contract, measured in terms of the cost of self insurance.
- TC25.3
System-Based Component Test Plans with Dependent Failure Times Mainak Mazumdar, Jayant Rajgopal --- Univ. of Pittsburgh, Dept. of IE, Pittsburgh, PA 15261 , (mmazumd@engrng.pitt.edu)
- We examine the design of system-based component test plans for evaluating reliability of a series system for the case where the failure times of the components of the system are not assumed to be independent. Specifically, we examine the case where the times follow a Marshall-Olkin distribution.
- TC25.4
Statistical Methods to Test Equipment Reliability Sudha Jain, R. K. Jain --- Univ. of Toronto, Dept. of Stats., 100 St. George St., Toronto, Ontario, M5S 1A1 , Canada (jainsu@utstat.utoronto.ca)
- A sequential probability ratio test is employed for reliability testing and acceptance of sampling data. From using this test, a decision concerning the equipment's status can then be reached in its early stages. The operating characteristic curve and average sample number are computed and examined for various parameters of the model.
Telecommunication & Applied Probability
Session: TC26
Date/Time: Tuesday 13:30-15:00
Type: Sponsored
Sponsor: Applied Probability Section
Track:
Cluster:
Room: St. Pierre
Chair: Les D. Servi
Chair Address: GTE Labs., 40 Sylvan Rd., Waltham, MA 02254 ,
Chair E-mail: ldsO@gte.com
- TC26.1
Queueing Models for Assembly Operations Harry Groenevelt, Robert Shumsky --- Univ. of Rochester, Grad. Sch. of Bus. Admin., Rochester, NY 14627 , ()
- We discuss a number of queuing networks with assembly or merge steps. Applications of such models can be found in re-manufacturing, airline operations, and telecommunications.
- TC26.2
Delay & Blocking in Webservers & Firewalls Julian Keilson, Pavan Gundepudi --- Univ.of Rochester, Simon Grad. Sch. of Bus., Dewey Hall, Rochester, NY 14627 , ()
- The queuing theoretic difficulty of webservers and firewalls arises from the order of service complexity associated with multithreading. A simplified approximation is presented addressing blocking and loss.
- TC26.3
Optimizing Bernoulli Routing Policies for Balancing Loads on Call Centers & Minimizing Transmission Costs Les D. Servi, S. Humair --- GTE Labs., 40 Sylvan Rd., Waltham, MA 02254 , (ldsO@gte.com)
- We address the problem of assigning probabilities at discrete times for routing toll-free calls to a given set of call center. Also examined is the practical variant in which the number of changes to the routing probabilities in each time instant is severely constrained. Empirical simulation rfesults will be presented.
- TC26.4
Dynamic Scheduling of Jobs in Operating Systems Yingdong Lu, David D. Yao --- Columbia Univ. IEOR Dept., 306A SW Mudd Bldg., IEOR Dept., New York, NY 10027 , (lyd@ieor.columbia.edu)
- Motivated by job scheduling in computer operating systems (e.g., UNIX-based), we study the optimal dynamic scheduling of multiclass jobs in a queueing network. We present some new insight in the problem structure, focusing on the geometry of the so-called extended polymatroid.
Electricity Market Design Issues
Session: TC27
Date/Time: Tuesday 13:30-15:00
Type: Sponsored
Sponsor: ENRE
Track:
Cluster:
Room: St. Michel
Chair: Hung-Po Chao
Chair Address: Stanford Univ., Electric Power Research Inst., 3412 Hillview Ave., Palo Alto, CA 94303 ,
Chair E-mail: hchao@epri.com
- TC27.1
Capacity Reservation Tariff & Reliability Differentiation of Electricity Transmission Chi-Keung Woo, Ira Horowitz, Jennifer Martin --- Energy & Environ. Economics, Inc., 353 Sacramental St., Ste. 1700, San Francisco, CA 94111 , (c._k._woo@ethree.com)
- Restructuring the electricity industry leads to the development of a power pool into which generators bid to supply energy and from which end users seek to satisfy their demands. An independent system operator (ISO) dispatches generation and establishes the pool's market-clearing price. The ISO's problem is complicated by occasional transmission shortages. Efficient allocation of limited capacity can be implemented by differentiating transmission reliability through unbundled charges.
- TC27.2
Priority Network Access Pricing for Electricity: An Option Pricing Approach Shijie Deng, Shmuel S. Oren --- Univ. of CA, IEOR Dept., Berkeley, CA 94720 , (dengsj@uclink.berkeley.edu)
- We propose a priority insurance scheme in which the Independent System Operator (ISO) offers transmission access insurance to bulk power traders. The premium and compensation are based on the option value corresponding to a self-selected price revealing the opportunity cost of the bulk power trader. Congestion management by the ISO minimizes compensation payments.k
- TC27.3
Mechanism Design for Multilateral Trading in a Simple Transmission Network Joel Singer, Hung-Po Chao --- Stanford Univ., Crothers Memorial Hall, Stanford, CA 94305 , (jsinger@leland.stanford.edu)
- We examine the problem of optimal mechanism design for trading between energy sellers and energy buyers, with the active participation of transmission capacity providers, in a simple electric power network. The objective is to maximize expected total gains from trade subject to an asymmetric information structure. We characterize the traders' equilibrium strategies under alternative assumptions and show the impossibility of ex post efficiency...
- TC27.4
Water & Power: Hydroelectric Resources in the Era of Competition in the Western US James B. Bushnell --- Univ. of CA, Energy Institute, 2539 Channing Way, Berkeley, CA 94720 , (jimb@ieor.berkeley.edu)
- Many electricity markets may be divided into competitive off-peak hours and peak hours with the potential for market power. Hydroelectric resources provide the ability to 'merge' these markets, or to create a more distinct division. I analyze the potential strategic use of hydro resources in the Western US.
Industry Views of OR/MS Education
Session: TC28
Date/Time: Tuesday 13:30-15:00
Type: Sponsored
Sponsor: Forum on Education
Track:
Cluster:
Room: Mont Royal
Chair: Matthew W. Carlyle
Chair Address: Arizona State University, Dept. of IMSE, PO Box 875906, Tempe, AZ 85287-5906,
Chair E-mail: mcarlyle@asu.edu;
- TC28.1
Today's Educational Prerequisites for Successful Operations Research Practice Charles J. McCallum, Jr. --- AT&T Labs., 101 Crawfords Corner Rd., HO 3L-323, Holmdel, NJ 07733-3030, ()
- The practice of OR has a rich history at AT&T, dating from the 1950's and evolving significantly since then. Today, an expanded educational approach is needed to adequately prepare students for successful careers as OR practitioners. Real-life examples at AT&T are used to illustrate the change and define today's needs.
- TC28.2
What I Wished I Had Learned in School... Yosun Denizeri --- Decision Focus Inc., 650 Castro St., Ste. 300, Mountain View, CA 94041-2057, (yosun@dfi.com)
- The demands of OR practice require a range of skills and abilities that are not taught (and perhaps not even acknowledged) in many OR programs. In this talk, I discuss what I wish I knew before I started, including software engineering, process improvement, and the relative unimportance of optimality.
- TC28.3
Suggestions for Practical Training in an OR/MS Curriculum Amit Garg --- IBM, TJ Watson Research Ctr., PO Box 218, Yorktown Heights, NY 10598 , (agarg@watson.ibm.com)
- New OR/MS hires at IBM always have a strong technical background, but in my instances they lack some of the practical skills necessary to contribute effectively to projects. In this talk we focus on a few suitably generalized examples from a supply chain group at IBM and suggest how these shortcomings could have been easily remedied by even a small amount of practical training in an OR/MS Masters or Ph.D program.
- TC28.4
The Realities of Life in Industry Robert C. Kwit --- Eastman Kodak Co., 343 State St., Rochester, NY 14650-0309, ()
- OR has a long and successful history at Kodak. I discuss the things I've learned about successful OR practice, the need for relevance and communications, and the challenges of proving value in a cost-conscious company.
Cargo
Session: TC29
Date/Time: Tuesday 13:30-15:00
Type: Sponsored
Sponsor: Aviation Applications Section
Track:
Cluster:
Room: Hampstead
Chair: Greg Reinhardt
Chair Address: UPS, , ,
Chair E-mail: AIR1gxr@air.ups.com
- TC29.1
A Simulation Model of Airport Ramps & Taxiways W. Swain Ottman --- UPS, Louisville, KY , ()
- We describe the development of a discrete-event simulation model of the UPS airlines aircraft parking ramps and taxiways of the Louisville International Airport in Louisville, Kentucky. The simulation model is used to evaluate various aircraft parking plans and departure schedules. The objectives are to reduce traffic congestion, taxi times and rollout wait times.
- TC29.2
Expedited Cargo Scheduler Alysia M. Wilson --- UPS, , , ()
- Given a set of delivery requirements with time windows and a limited number of drivers from different areas of the country with different costs, the problem builds and selects a minimum cost set of trips within the given constraints. We describe a system for developing that uses column generation and B&B techniques to develop a minimum cost set of driver routes for delivering these loads while satisfying time window constraints.
- TC29.3
A Package Allocation System to Assist in Multimodal Route Design Keith Ware --- MIT, OR Ctr., E40-149, Cambridge, MA 02139 , ()
- When developing future airlift requirements, a planner needs to be able to quickly evaluate the capacity of a particular schedule to move an expected package load. We present a system that develops a maximal movement allocation of packages for a given multi-modal schedule and set of package movement requirements. The system takes time windows on package pick-up and delivery into account...
- TC29.4
Multimodal Routing & Scheduling Cynthia Barnhart --- MIT, OR Ctr., Rm. E40-149, Cambridge, MA 02139-4307, ()
- No abstract supplied.
New Technologies in Logistics
Session: TC31
Date/Time: Tuesday 13:30-15:00
Type: Sponsored
Sponsor: Section on Logistics
Track:
Cluster:
Room: Verdun
Chair: Ronald S. Tibben-Lembke
Chair Address: Univ. of NV, MS 028, MS & Logistics, Reno, NV 89557 ,
Chair E-mail: rtl@unr.edu
- TC31.1
Data Mining: Rough Sets or Neural Networks? Henry Amato --- Univ. of NV, MS 028, Reno, NV 89557 , (hna@unr.edu)
- Although rough sets have been around since 1980 they lack the popularity of neural networks as a data mining method. Yet, there are applications that are more suited to rough set analysis. This presentation will address the issue of when and how to use each method for data mining.
- TC31.2
Demand Management: Optimizing Distribution Systems Edward Sitarski --- Numetrix, Ltd., 655 Bay St., Ste. 1200, Toronto, Ontario, M5G 2K4 , Canada (edward.sitarski@numetrix.com)
- Demand Management tools allow companies to create a detailed model of their production/distribution systems, and optimize their production and distribution strategy, considering many different demand scenarios. We will present an overview of DM tools, and a detailed look at how one major software package achieves this optimization.
- TC31.3
Reverse Logistics in the U.K. Beer Industry Scott W. Hadley, Edward Sitarski --- Numetrix, Ltd., 65 Bay St., Ste. 1200, Toronto, Ontario, M5G 2K4 , Canada (scott.hadley@numetrix.com)
- Bass Brewers owns more than two million returnable containers, valued at over $150 million. The problem of managing the logistics of the reverse supply chain (return of empty containers to breweries) provides significant challenges and opportunities. We describe how Bass realizes substantial savings in capital, equipment, and vehicle utilization costs.
- TC31.4
Reverse Logistics: Current Trends Ronald S. Tibben-Lembke, Dale Rogers --- Univ. of NV, MS 028, MS & Logistics, Reno, NV 89557 , (rtl@unr.edu)
- We have recently published a survey of current trends and practices in reverse logistics. We share results from the study, focusing on what is currently being done in industry, what factors are critical to a successful RL system, and how future developments may affect RL growth.
Location Modeling & Public Policy
Session: TC32
Date/Time: Tuesday 13:30-15:00
Type: Sponsored
Sponsor: Public Programs & Processes Section
Track:
Cluster:
Room: Frontenac
Chair: Marvin B. Mandell
Chair Address: UMBC, Policy Sciences Grad. Program, 100 Hilltop Circle, Baltimore, MD 21250 ,
Chair E-mail: mandell@umbc.edu
- TC32.1
A Trauma Resource Allocation Model for Ambulances & Hospitals Charles C. Branas, Ellen J. MacKenzie, Charles ReVelle --- Univ. of CA, Sch. of Public Health, 140 Warren Hall, Berkeley, CA 94720-7360, (cbranas@socrates.berkeley.edu)
- The TRAMAH was formulated as a deterministic optimization problem. Trauma centers and aeromedical depots were sited to maximize coverage of severe injuries. The TRAMAH adequately distributed trauma care resources as per spatial neeed and response time standards in Maryland.
- TC32.2
A Decision Support System for Location of Subsidized Housing Michael P. Johnson --- Carnegie Mellon Univ., Heinz Sch. of PP&M, Pittsburgh, PA 15218-3890, (johnson2@andrew.cmu.edu | heinz.cmu.edu/heinz/faculty/MiJohnson.html)
- A new application area for facility location is subsidized housing. For planning purposes, decision makers must evaluate the economic and social impacts of different allocations of families in subsidized housing across a metropolitan area. I present a prototype DSS for single-period subsidized housing location. Model extensions are discussed.
- TC32.3
A P-Median Model for EMS Systems with Priority Dispatching Marvin B. Mandell --- UMBC, Policy Sciences Grad. Program, 100 Hilltop Circle, Baltimore, MD 21250 , (mandell@umbc.edu)
- We present a p-median model for locating emergency units in a two-tiered EMS system that utilizes priority dispatching. In addition to identifying optimal unit locations, the model is used to examine the effects of different system parameters, including the balance between ALS and BLS units and different dispatch rules.
Strategic Sizing Issues
Session: TC33
Date/Time: Tuesday 13:30-15:00
Type: Contributed
Sponsor:
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Cluster:
Room: St. Lambert
Chair: Brian Talbot
Chair Address: Univ. of MI, Sch. of Bus., Rm. 8200, Ann Arbor, MI 48109-1234,
Chair E-mail: btalbot@b.imap.itd.umich.edu
- TC33.1
Volume Heterogeneity Flexibility: An Examination of its Technological & Infrastructural Enablers Brian Talbot, Ashok Mukherjee, Will Mitchell --- Univ. of MI, Sch. of Bus., Rm. 8200, Ann Arbor, MI 48109-1234, (btalbot@b.imap.itd.umich.edu)
- We argue that diversity of routines, available slack in information processing ability, and horizontal information processing mechanisms enable volume heterogeneity flexibility. Technology is often employed to provide flexibility of aggregate production volume. In multi-product environments, even when aggregate volume remains constant, the heterogeneity of volume may change, requiring a distinction...
- TC33.2
Managing for Growth Denise Fleck --- McGill Univ., COPPEAD/UFRJ, 6259 Wilderton Ave., Montreal, Quebec, H3S 2L3 , Canada (fleck@management.mcgill.ca)
- Growth strategies are examined by means of the organizational, financial and market dimensions. Strategic trade-offs associated with the determination of the growth rate of the firm are identified and implications for the management of the growth of the firm are analyzed.
- TC33.3
Layoff Strategies & Corporate Governance Richard Pouder, Stephen R. Cantrell, Subodh P. Kulkarni --- Clemson Univ., Dept. of Mgmt., Clemson, SC 29634-1305, (rpouder@clemson.edu)
- This study investigates the influence of corporate governance mechanisms on the stock market's reaction to layoff announcements. The proportion of independent directors and increases in institutional ownership are positively related to gains in shareholder wealth. Joint increases in the levels of both governance mechanisms are associated with declining marginal gains.
Software Demonstrations
Session: TC34
Date/Time: Tuesday 13:30-15:00
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Room: Westmount
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- TC34.1
Software Demonstration: MPL & Optimization on the Internet Bjarni Kristjansson --- Maximal Software Inc., 2111 Wilson Blvd., Ste. 700, Arlington, VA 22201 , ()
- Over the last few years, the Internet and the WWW have become increasingly more important in the computer world as a new way of interfacing with the user. We will discuss how the MPL Modeling System is currently being developed to give the user new ways to solve optimization problems through the Internet as well as the new MPL On-line Tutorial on the Web.
- TC34.2
Software Demonstration: ILOG, CPLEX: The Merger Between Constraint-Based Scheduling & Linear Programming Younes Alaoui --- ILOG, 1901 Landings Dr., Mountain View, CA 94043 , ()
- Many already realize the power of LP with CPLEX. Problems such as scheduling can be difficult to solve using only a linear model. ILOG constraint-based programming algorithms combined with the proven CPLEX linear algorithms is the solution for solving complex scheduling problems. We will explain the benefits of the merger of these 2 technologies.
Integer Programming Models with Industrial Applications
Session: TC37
Date/Time: Tuesday 13:30-15:00
Type: Sponsored
Sponsor: CSTS
Track:
Cluster:
Room: Lachine
Chair: Djangir A. Babayev
Chair Address: US West Advanced Tech., 4001 Discovery Dr., Ste. 220, Boulder, CO 80301 ,
Chair E-mail: dbabayev@advtech.uswest.com
- TC37.1
Adaptive Memory Method for Solving Knapsack Problems Fred W. Glover, Djangir A. Babayev, Jiyang Xu --- Univ. of CO, Sch. of Bus., CB 419, Boulder, CO 80309-0419, (fred.glover@colorado.edu)
- A new method for solving the integer knapsack problem is developed. The adaptive memory method endows each variable with its own memory, instead of relying on a tree based memory as in B&B or on a state-based memory as in DP. The method simultaneously solves 2 interrelated minimization and maximization problems at each iteration. The method demonstrated high computational efficiency when solving hard knapsack problems.
- TC37.2
Dynamic Hierarchial Packing by a Genetic Algorithm to Minimize Wireless Switch Capacity Costs Tony Cox, Warren Kuehner, Leonard Lu, David Davis --- Cox Associates, 503 Franklin St., Denver, CO 80218 , (tcoxdenver@aol.com)
- A wireless switch holds up to 9 switch modules (SMs). There are 4 SM types, each providing 2 resources (erlangs, packet-pipes) to cover subscriber demand. How many of each should one buy each month to minimize costs of covering demand? A GA solves this hard NLIP problem quickly and well.
- TC37.3
Strategic Capital Budgeting Analysis Paul M. Thompson --- US WEST Advanced Tech., 4001 Discovery Dr., Boulder, CO 80303 , (pthomps@advtech.uswest.com)
- Some strategic capital budgeting decisions require an analysis of the tradeoffs between very rough revenue opportunity estimates and well-defined capital cost projections. We present a nonlinear MIP which supports such an analysis, and discuss our success in building and implementing an algorithm for this problem.
Analysis & Synthesis of Multiservice Networks
Session: TC38
Date/Time: Tuesday 13:30-15:00
Type: Sponsored
Sponsor: TST
Track:
Cluster:
Room: Outremont
Chair: Andre Girard
Chair Address: INRS Telecom, 16 Place du Commerce, Verdun, Quebec, H3E 1H6 , Canada
Chair E-mail: andre@inrs-telecom.uquebec.ca
- TC38.1
On the Queueing Analysis & Simulation of ATM Multiplexing Networks Michael Shalmon --- INRS Telecom., 16 Place du Commerce, Verdun, Quebec, H3E 1H6 , Canada (shalmon@inrs-telecom.uquebec.ca)
- We examine ATM networks multiplexing multimedia sources. We assume that each individual exogenous traffic source is of ON-OFF type, only the OFF periods being expontentially distributed. We point out that the network is, roughly speaking, a single distributed queue and we discuss its queueing analysis and stimulation, particularly for long tailed ON periods.
- TC38.2
Adaptive Revenue Optimization of Multi-Service Networks Andre Girard, Catherine Rosenberg, Philippe Couture --- INRS Telecom, 16 Place du Commerce, Verdun, Quebec, H3E 1H6 , Canada (andre@inrs-telecom.uquebec.ca)
- We investigate the optimal routing aiming at revenue maximization in any multi-service network that supports the notion of effective bandwidths, providing QoS-guaranteed services. We show that the group of Lagrangian multipliers needed centralized information does not need to be constantly evaluated. This leads to efficient adaptive routing implementation.
- TC38.3
Reliability in ATM Network Synthesis Andre Girard, Brunilde Sanso, F. Mobiot --- INRS Telecom, 16 Place du Commerce, Verdun, Quebec, H3E 1H6 , Canada (andre@inrs-telecom.uquebec.ca)
- We propose a model that takes into account reliability at the synthesis stages. It takes into account the fact that failures occur at the transmission level and their impact is propagated into the switched network. Comparative results with other methods will be presented for ATM and multirate networks.kj
- TC38.4
Multiservice Virtual Subnetwork Dimensioning Methods Michaela Plante --- Ecole Polytech. of Montreal, GERAD, Math. & IE Dept., CP 6079, Succ. Centreville, Montreal, Quebec, H3C 3A7 , Canada (michaela@crt.umontreal.ca)
- We review the state of the art and propose a classification of the different methods for the dimensioning of multiservice virtual subnetworks. Comparisons based on performance evaluation studies will be provided.
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Dynamic Traffic Assignment I: Algorithms
Session: TD01
Date/Time: Tuesday 15:15-16:45
Type: Sponsored
Sponsor: TSS & IFORS
Track:
Cluster:
Room: St. Laurent
Chair: Srinivas Peeta
Chair Address: Purdue Univ., Sch. of Civil Eng., W. Lafayette, IN 47907 ,
Chair E-mail: peeta@ecn.purdue.edu
- TD01.1
A Linear Programming Approach for the System Optimum DTA Problem for Multiple Destinations & Fixed Arrival Windows Irene Yue Li, Athanasios Ziliaskopoulos, Steven T. Waller --- Northwestern Univ., 2145 Sheridan Rd., Tech. Inst., Evanston, IL 60208 , (liyue@nwu.edu)
- A Fixed Arrival Time (FAT) System Optimum Dynamic Traffic Assignment (SO DTA) model is formulated as a linear program (LP) by using the cell transmission model. It is shown that the multi-origin, multi-destination problem can be solved with the first in, first out (FIFO) condition 'softly' observed. The model simultaneously optimized departure time and route choices.
- TD01.2
A Framework for On-Line Dynamic Traffic Assignment Using the A-priori Optimization Approach Srinivas Peeta, Chao Zhou --- Purdue Univ., Sch. of Civil Eng., W. Lafayette, IN 47907 , (peeta@ecn.purdue.edu)
- A framework to solve the on-line dynamic traffic assignment problem using on-line adjustment measures is proposed under an a priori optimization scheme. Conditions for switching control between the a priori solution and on-line adjustment measures are established. Experiments are conducted to analyze the effectiveness of the on-line adjustment measures.
- TD01.3
A Chance-Constrained Based Stochastic Dynamic Traffic Assignment Model: Analysis, Formulation & a Solution Algorithm Steven T. Waller, Athanasios Ziliaskopoulos --- Northwestern Univ., Dept. of ISE, 2145 Sheridan Rd., Tech. Inst., Evanston, IL 60208 , (travis@trans.civil.nwu.edu)
- This paper is concerned with the System Optimum-Dynamic Traffic Assignment (SO-DTA) problem, when the origin-destination time-dependent demands are random variables with known probability distributions. The model is an extension of a deterministic linear programming (LP) formulation for SO-DTA introduced by Ziliaskopoulos, 1996. The proposed formulation is Chance Constrained Based (CCB) and we domonstrate that is provides a robust SO solution with a user specified level of reliability.
- TD01.4
Real-Time Computing of Dynamic Traffic Assignment Models Ismail Chabini, Yiyi He --- MIT, 77 Massachusetts Ave., Room 1-263, Cambridge, MA 02139 , (chabini@mit.edu)
- We have developed a computer system that implements solution algorithms for a family of analytical dynamic traffic assignment models. Using the beltway network of the city of Amsterdam, these computer algorithms find an optimal solution for an assignment period of 2 hours and 20 minutes in 18 minutes (7 times faster than real-time). This is a positive answer for analytical approaches to dynamic traffic assignment since it was ginerally believed that realistic large instances of these problems were not solvable.
Vehicle Routing II
Session: TD02
Date/Time: Tuesday 15:15-16:45
Type: Contributed
Sponsor:
Track:
Cluster:
Room: Bersimis
Chair: Oli B. Madsen
Chair Address: Tech. Univ. of Denmark, Dept. of Math. Modeling, Bldg. 321, Lyngby, DK-2800 , Denmark
Chair E-mail: ogm@imm.dtu.dk
- TD02.1
Vehicle Routing Problems with Time Windows: The State-of-the-Art Oli B. Madsen --- Tech. Univ. of Denmark, Dept. of Math. Modeling, Bldg. 321, Lyngby, DK-2800 , Denmark (ogm@imm.dtu.dk)
- Vehicle routing problems with time windows is a generalization of the vehicle routing problem in which the service of a customer must start within a given time window. In this presentation a survey of the existing heuristic and exact methods will be given.
- TD02.2
Solving the Vehicle Routing Problem with Time Windows Using Branching on Resource Constraints Jesper Larsen --- Tech. Univ. of Denmark, Bldg. of Math. Modeling, Bldg. 321, Lyngby, 2800 , Denmark (jla@imm.dtu.dk http://www.imm.dtu.dk/~jla/)
- In a paper of Gelinas et al. from 1987 branching on resource-constraints is introduced. We investigate new selection and branching criterias where we use structural information as size of time window, geographical position of customer etc. Computational results are presented for the Vehicle Routing Problem with Time Windows (VRPTW).
- TD02.3
Solving the Capacitated VRP with Column Generation Ann E. Bixby, Collette R. Coullard, David Simchi-Levi --- Northwestern Univ., IEMS Dept., 2225 N Campus Dr., Evanston, IL 60208 , (abixby@iems.nwu.edu)
- We present a column generation algorithm for the capacitated VRP, using a polyhedral approach for the column generation subproblem.
- TD02.4
Tourist Paths in Artistic Towns Nicoletta Ricciardi, Giovanni Storchi --- Universita La Sapienza, Dip. Stats. Probability, Piazzale Aldo Moro 5, Roma, 00185 , Italy (ricciard@pow2.stat.uniroma1.it)
- We define 'tourist path' as a homogeneous path which maximizes the interest of the visit of tourist sites within a given time. For each site, some parameters have been defined, such as place capacity, average visiting time and index of 'esirability.' Routing heuristics have been implemented and applied in real cases.
Fleet Assignment
Session: TD03
Date/Time: Tuesday 15:15-16:45
Type: Sponsored
Sponsor: RASIG
Track:
Cluster:
Room: Gatineau
Chair: Guy Desaulniers
Chair Address: Ecole Polytech. & GERARD, 3000 Cote-Ste-Catherine, Montreal, Quebec, H3T 2A7 , Canada
Chair E-mail: guyd@crt.umontreal.ca
- TD03.1
RAIL-WAYS: A Fleet Assignment System for Passenger Railway Companies Guy Desaulniers, Jean-Francois Cordeau, Jacques Desrosiers, Norbert Lingaya, Francois Soumis --- Ecole Polytech. & GERARD, 3000 Cote-Ste-Catherine, Montreal, Quebec, H3T 2A7 , Canada (guyd@crt.umontreal.ca)
- We describe a fleet (locomotives and cars) assignment system for passenger transportation, RAIL-WAYS. It can be used to study what-if scenarios, to compute the equipment cycles, and to update these cycles in order to respond to short-term car demand charges. RAIL-WAYS is based on a column generation approach. Computational results will be presented.
- TD03.2
A Benders Decomposition Approach for a Rail Equipment Assignment Problem Jean-Francois Cordeau, Jacques Desrosiers, Francois Soumis --- Ecole Polytech. & GERAD, 3000 Cote-Ste. Catherine, Montreal, Quebec, H3T 2A7 , Canada ()
- We propose a formulation and an exact algorithm, based on Benders decomposition, for an equipment assignment problem arising in the context of railway passenger transportation. Adaptions to different scenarios are discussed, together with implementation considerations. Computational experiments carried out on real-life instances indicate that the algorithm is highly efficient.
- TD03.3
Dynamic Locomotive Scheduling Warren B. Powell, Arun G. Marar, Ajith B. Wijeratne --- Princeton Univ., Program in Stats & OR, CASTLE Lab., Princeton, NJ 08544 , (powell@princeton.edu)
- We present a dynamic programming approximation for dynamic management of locomotives. Our method is able to handle a variety of complex operating strategies and the characteristics of major locomotive types. The method explicitly handles uncertainities in forecasted toonages, and can optimize over extended horizons with fast response times.
- TD03.4
Locomotive Scheduling System Koorush Ziarati, Jacques Desrosiers, Francois Lessard, Marius M. Solomon, Francois Soumis, Beyime Tachefine --- Ecole des HEC & GERAD, Montreal, Quebec, H3C 3J7 , Canada (koorush@crt.umontreal.ca)
- The locomotive scheduling system provides at minimum cost sufficient motive power to pull all the trains scheduled by the railway company while satisfying the available locomotive fleet power and the locomotive maintenance planning. The numerical results are provided for an acyclic problem over a one week horizon, using data obtained from the company CN North America. This problem involves 2000 trains and 1300 locomotives.
Manufacturing I
Session: TD04
Date/Time: Tuesday 15:15-16:45
Type: Contributed
Sponsor:
Track:
Cluster:
Room: Harricana
Chair: Abhijit Deshmukh, Jin Wang
Chair Address: FL State Univ., Dept. of IE, Coll. of Eng., 2525 Dammer St., Tallahassee, FL 32310-6046,
Chair E-mail: deshmukh@eng.fsu.edu
- TD04.1
On Stable Schedules Abhijit Deshmukh, Jin Wang --- FL State Univ., Dept. of IE, Coll. of Eng., 2525 Dammer St., Tallahassee, FL 32310-6046, (deshmukh@eng.fsu.edu)
- We present methods for developing stable schedules in the presence of operating variabilities for a large production facility. A specific example of a major auto-manufacturer is discussed. We model the costs of stabilizing schedules and show the benefits to the production facility and the downstream suppliers.
- TD04.2
Product Line & Process Design for Mass Customization Ursula Kraus, Candace A. Yano --- Univ. of CA, Dept. of IE/OR, 1890 Arch St., # 209, Berkeley, CA 94709 , (ukraus@ieor.berkeley.edu)
- We present a model to support production and design decisions that incorporates the effect of lead time and degree of customization on overall demand. Implications for modular design, posponement and flexible production systems will be discussed.
- TD04.3
A Production System that Leaves Product Variety up to the Assembly Line Workers Thomas R. Nitsch --- Univ. of CA, 4135 Etcheverry Hall, Berkeley, CA 94720 , (tnitsch@ieor.berkeley.ca)
- TSS, the Toyota Sewn Products Management, results in a self balancing production line if workers are sequenced from slowest to fastest. We examine the performance of TSS applied to discrete workstations and product variety to examine if the stability and optimality is maintained and compare performance to traditional line layouts.
- TD04.4
Toyota Production System: Some Experience in Brazil Roberto R. Alvarez, Jose Antonio V. Antunes, Jr. --- Brazilian Inst. for Quality & Productivity, Rua Dr. Correa Coelho 741, Bairro Jardim Botanico, Curitiba, Parana, 80010-050 , Brazil (alvarez@ibqppr.org.br)
- Toyota production system is the reference for what has become known as lean manufacturing. In the west, the first of 2 pillars, autonomation and JIT, is commonly neglected. In Brazil, some research and practice in the area have been done, giving the same emphasis to both pillars.
Managing the Demand/Supply Interface
Session: TD05
Date/Time: Tuesday 15:15-16:45
Type: Sponsored
Sponsor: MSOM
Track:
Cluster:
Room: Grand Salon
Chair: M. Eric Johnson
Chair Address: Vanderbilt Univ., Owen Grad. Sch. of Mgmt., Nashville, TN 37203 ,
Chair E-mail: johnsoem@ctrvax.vanderbilt.edu
- TD05.1
Optimal Commonality in Component Design Ulrich W. Thonemann --- McKinsey & Co., Im Mediapark 11, Cologne, 50670 , Germany (ulrich_thonemann@mckinsey.com)
- We consider a manufacturing process where products are built to order and components are built to stock. The problem is to determine how many unique variants of a component to produce. We model the problem and solve a design problem that we encountered at a major automobile manufacturer.
- TD05.2
Using Advance Demand Information in a Project-Based Supply Chain Laura Rock Kopczak --- Stanford Univ., IE/EM Dept., Terman 351, Stanford, CA 94305-4024, (kopczak@leland.stanford.edu)
- Demand information about materials required for a project emerges through a sequence of design decisions. A manufacturer meanwhile makes a sequence of decisions which allocate resources. We present a framework for characterizing demand and supply milestones and evaluating opportunities to share demand information. An example from a yearlong study of the construction industry is presented.
- TD05.3
Managing Spare Parts Supply Chains for Products with Volatile Demand M. Eric Johnson --- Vanderbilt Univ., Owen Grad. Sch. of Mgmt., Nashville, TN 37203 , (johnsoem@ctrvax.vanderbilt.edu)
- We consider the problem of managing a global spare parts supply chain for an equipment manufacturer in the semiconductor industry. Firms in this industry face wide changes in demand along with high service requirements and varying customer buying patterns. We examine supply chain initiatives including leadtime management and customer segmentation.
Policy Issues in Manufacturing
Session: TD06
Date/Time: Tuesday 15:15-16:45
Type: Sponsored
Sponsor: MSOM
Track:
Cluster:
Room: Richelieu
Chair: Rachel Q. Zhang
Chair Address: Univ. of MI, Dept. of IOE, 1205 Beal Ave., Ann Arbor, MI 48109-2117,
Chair E-mail: rzhang@engin.umich.edu
- TD06.1
U-Shaped Lines with Switchover Time & Cost John A. Buzacott, Seyed M. R. Iravani, Morton J. M. Posner --- York Univ., Schulich Sch. of Business, North York, Ontario, M3J 1P3 , Canada (jbuzacot@bus.yorku.ca)
- The paper begins with a general definition and a general framework for classification of U-shaped lines. It then explores the effect of the switching costs and switchover times incurred when workers change stations by viewing the line as a sequence of tandem queues, each attended by a moving server.
- TD06.2
Effects of Demand Uncertainty on Product Offering & Pricing Decisions Candace A. Yano, Panupol Lerssrisuriya --- Univ. of CA, 4135 Etcheverry Hall, Berkeley, CA 94720-1777, (yano@ieor.berkeley.edu | www.ieor.berkeley.edu/~yano)
- We address the problem of selecting a set of products to offer and their prices when the products share a finite-capacity manufacturing system. The demands are random, and the mean demand of each product declines as the price increases. We present structural results, a solution procedure, and managerial insights.
- TD06.3
Optimal Material Release Times Using Simulation-Based Optimization Mark L. Spearman, Alexander Shapiro, Tito Homem-de-Mello --- GA Inst. of Tech., Sch. of ISyE, Atlanta, GA 30332 , (mark.spearman@isye.gatech.edu)
- We present a method for setting release times for jobs with due dates in a stochastic production flow line. Our methodology is based on Monte Carlo simulation and consequent optimization by a method known as 'stochastic counterpart' method. We discuss how the cost parameters of this objective function can be obtained and conclude with a numerical example.
- TD06.4
A Simple (s, z, S) Inventory Policy for Inventory Systems with Priority Demand Classes Katia C. Frank, Rachel Q. Zhang, Izak Duenyas --- Univ. of MI, Dept. of IOE, Ann Arbor, MI 48109-2117, (kfrank@engin.umich.edu)
- We consider a periodic review inventory system with two priority classes, one deterministic and the other stochastic. The deterministic demand must be met without delay while the stochastic demand can be backordered. We propose a simple (s,z,S) policy and a heruistic that determines the ordering policy (s,S) and issuing policy z separately.
Technology & Market Dynamics
Session: TD07
Date/Time: Tuesday 15:15-16:45
Type: Contributed
Sponsor:
Track:
Cluster:
Room: Matapedia
Chair: Il-Horn Hann
Chair Address: Univ. of PA, The Wharton Sch., 3620 Locust Walk, #1300, Philadelphia, PA 19104-6366,
Chair E-mail: hann36@wharton.upenn.edu
- TD07.1
The Nature of Competition in Electronic Markets: An Empirical Investigation of the Electronic Travel Agent Market Il-Horn Hann, Eric K. Clemons, Lorin Hitt --- Univ. of PA, The Wharton Sch., 3620 Locust Walk, #1300, Philadelphia, PA 19104-6366, (hann36@wharton.upenn.edu)
- It has been argued that due to reduction of consumer's search costs, e-markets exhibit intense price competition, hence, reducing incentives for vendors to participate. We verify this prediction empirically for the market of electronic travel agents (ETA). The main result suggests that competition among ETAs doesn't resemble undifferentiated Bertrand competition.
- TD07.2
Information Asymmetry in Product Markets: A Contingency Approach Subodh P. Kulkarni --- Howard Univ., Dept. of Mgmt., Sch. of Bus., 2600 Sixth St. NW, Washington, DC 20059 , (subodhk@erols.com)
- This paper argues that a firm's informational advantage over its customers in product markets may generally diminish in the long run, given the recent advances in information technology. Further, the information asymmetry may be contingent on product and organizational life cycles. Finally, it discusses a firm's strategies under these contingencies.
- TD07.3
Diffusion Policy of Advanced Manufacturing Technology Hyung-Sik Oh --- Seoul Ntl. Univ., Dept. of IE, Coll. of Eng., Seoul, 151-742 , Korea (ohs@cybernet.snu.ac.kr)
- We forecast the diffusion rate of AMT such as NC, industrial robot in Korea industry. We derive diffusion policy of the AMT according to the price policy and industry structure of the supply sector.
- TD07.4
Patent Data as an Indictor of Internationalization of Technology Generation & Formation of Alliance Yender Lee, Hamid Etemad --- McGill Univ., 1100 Dr. Penfield, # 704, Montreal, Quebec, H3A 1A8 , Canada (leeyen@management.mcgill.ca)
- Patent data can provide consistent information over a long period of time on inventions with a great deal of details on location and other technical aspects. Using a research method, based-on advanced Boolean logic, this paper offers a new approach to identify groups of patent-records with high potential to signal the globalization...
Strategic Mgmt. of Largescale Engineering Projects: Findings from Intl. Research Program on Mgmt. of Eng. & Construction
Session: TD08
Date/Time: Tuesday 15:15-16:45
Type: Sponsored
Sponsor: Technology Management Section
Track:
Cluster:
Room: Chaudiere
Chair: Serghei Floricel
Chair Address: Univ. of Quebec at Montreal, Pavillon Ste-Catherine Ouest, Local X-7330, CP 11008, Montreal, Quebec, H3C 4T9 , Canada
Chair E-mail: d236721@er.uqam.ca
- TD08.1
The Social Construction of Engineering Projects Roger Miller, Xavier Olleros --- Univ. of Quebec at Montreal, Pavillon Ste-Catherine Ouest, Local X-7305, CP 11008, Montreal, Quebec, H3C 4T9 , Canada (miller.roger@er.uqam.ca)
- Before being built, engineering projects must be socially constructed to face risks, complexity and emergence. The social construction process depends up the nature and context of projects, and focuses on creating governance and financing structures that match specific risks. Projects with no match are doomed or require restructuring.
- TD08.2
Networks & Metacapabilities: The Making of the Virtual Organization in the Engineering Construction Sector Joseph Lampel --- St. Andrews Univ., Dept. of Mgmt., St. Katherine W, The Scores, Fife Scotland, KY16 9AL , UK (jl10Wst-andrews.ac.uk)
- Rapid globalization in the engineering construction industry puts integrated firms at a disadvantage. A complex ecology is emerging of firms with multiple capabilities that are combined and recombined by networks for specific projects. Strategic advantage of firms in the sector therefore resides in metacapabilities of linking and organizing these networks.
- TD08.3
Selection of Infrastructure Projects & Institutional Frameworks: A Dual Relation Pascale Michaud --- IMEC, EDI World Inst., 380 St. Antoine St W Ste. 3280, Montreal, Quebec, H2Y 3X7 , Canada (pimec@login.net)
- We show how institutions and regulations influence models of project delivery and affect project performance. It looks at the various institutional and regulatory frameworks to deliver large-scale projects and seeks to explain their evolution in the current context of transition towards a new model of infrastructure provision.
- TD08.4
A Multilevel Perspective on the Management of Risks in Engineering Projects Serghei Floricel --- Univ. of Quebec at Montreal, Pavillon Ste-Catherine Ouest, Local X-7330, CP 11008, Montreal, Quebec, H3C 4T9 , Canada (d236721@er.uqam.ca)
- The categories of risks that managers heed and try to control differentiate good and bad project outcomes. These categories originate in three levels of context: the skills and practices of different managerial groups, the perceived structural positions with respect to other organizations, and the models conveyed by the institutional environment.
Learning & Transforming the Organization
Session: TD09
Date/Time: Tuesday 15:15-16:45
Type: Sponsored
Sponsor: Technology Management Section
Track:
Cluster:
Room: St. Charles
Chair: Louis Lefebvre
Chair Address: Ecole Polytech. of Montreal, Dept. of IE, PO Box 6079, Sta. Centre-ville, Montreal, Quebec, H3C 3A7 , Canada
Chair E-mail: lefebvrl@cirano.umontral.ca
- TD09.1
Benchmarking for Best Practices in R&D: A Cross-Industry Study Comparison of Innovative Companies S. W. F. Omta, Frances Fortuin --- Univ. of Groningen, Fac. of Mgmt. & Org., Landleven 5, PO Box 800, Groningen, 9700 AV , The Netherlands (s.w.f.omta@bdk.rug.nl | bdk.rug.nl)
- We are conducting an international benchmarking survey, supported by SKF, to assess reference values for best R&D practices. Companies like Siemans, Ericsson, Aerospatiale and Samsung participate in it. The study focuses on issues such as the structure and organization of R&D, as well as the R&D processes and performance.
- TD09.2
Learning by Managing Projects: The Case of R&D Projects Mario Bourgault, Helene Sicotte --- Ecole Polytech. of Montreal, Dept. of IE, PO Box 6079, Sta. Centreville, Montreal, Quebec, H3C 3A7 , Canada (mario.bourgault@mail.polymtl.ca)
- Development projects can act as catalysts on the way firms learn and accumulate know-how. This is particularly revelant where many organizations are involved. However, the process by which knowledge is accrued and incorporated into the firms' practices remains unclear. The study investigates this issue, analyzing several R&D projects.
- TD09.3
The Process of Organizational Transformation: A Case Study in the Banking Sector Albert Lejeune, Line Ricard, Lise Prefontaine --- Univ. of Quebec at Montreal, PO Box 6192, Sta. Centreville, Montreal, Quebec, H3C 2R2 , Canada (lejeune.albert@uqam.ca)
- Using the conceptual framework of Bartlett and Ghoshal, we developed indicators to assess levels of transformation performed by organizations on three axes: purpose, people and processes. A case study in the banking sector shows that using specific measures helps management evaluate their strengths and weaknesses and realign their actions.
- TD09.4
Technology Transfer & Organizational Learning Dan A. Seni --- Univ. of Montreal at Quebec, PO Box 6192, Sta. Centreville, Montreal, Quebec, H3C 2R2 , Canada ()
Global Optimization I
Session: TD14
Date/Time: Tuesday 15:15-16:45
Type: Contributed
Sponsor:
Track:
Cluster:
Room: Studio 359
Chair: Tim Van Voorhis
Chair Address: IA State Univ., IMSE Dept., 205 Engineering Annex, Ames, IA 50011 ,
Chair E-mail: tvanvoor@iastate.edu | www.imse.iastate.edu
- TD14.1
A Branch & Bound Algorithm Using Lagrangian Underestimates Tim Van Voorhis --- IA State Univ., IMSE Dept., 205 Engineering Annex, Ames, IA 50011 , (tvanvoor@iastate.edu | www.imse.iastate.edu)
- This talk will present a branch and bound algorithm for global optimization. At each branch, lower bounds are quickly found by estimating the Lagrange Multipliers and then minimizing a convex underestimate of the resulting Lagrangian function. The partitioning process improves the multiplier estimates and tightens the convex underestimates.
- TD14.2
Global Optimization of a Mixed-Integer Bilinear Program Dmitry V. Golovashkin, Ignacio E. Grossmann --- Carnegie Mellon Univ., Dept. of Chemical Eng., Pittsburgh, PA 15213-3890, (dmitry@andrew.cmu.edu)
- We describe a B&B method for the global optimization of problems that exhibit bilinear terms in the continuous variables and linear terms for 0-1 variables in the objective function and constraints. Novel underestimating functions and bounding strategies are also described. Numerical results are presented.
- TD14.3
Hybrid Algorithm Birna P. Kristinsdottir, Zelda B. Zabinsky --- Univ. of WA, Dept. of IE, Box 352650, Seattle, WA 98195 , (bpkice@u.washington.edu)
- A new global optimization algorithm, called the Hybrid Algorithm, is set forth and tested on several global optimization test problems. The hybrid algorithm is motivated by complexity results derived for random search algorithms, and combines sequential random search algorithms with interval methods in a single algorithm with promising results.
Tutorial: An Introduction to Stochastic Programming
Session: TD19
Date/Time: Tuesday 15:15-16:45
Type: Invited
Sponsor:
Track:
Cluster:
Room: Duluth
Chair: Gilbert Laporte
Chair Address: Ecole des HEC, Univ. of Montreal, CRT, CP 6128, Station A, Montreal, Quebec, H3C 3J7 , Canada
Chair E-mail: gilbert@crt.umontreal.ca
- TD19.1
Tutorial: An Introduction to Stochastic Programming Francois V. Louveaux --- FUNDP, 1 Rempart de la Vierge, Namur, B-5000 , Belgium (francois.louveaux@fundp.ac.be)
- The aim of stochastic programming is to model and solve problems involving uncertain data. This tutorial will provide an introduction for newcomers to the field. The first part will discuss examples of applications and modeling issues related to undertainty. Basic properties of stochastic programs and commonly used methods of solutions will then be presented. Finally, an introduction to current areas of research will be provided.
Session:
Date/Time:
Type:
Sponsor:
Track:
Cluster:
Room:
Chair:
Chair Address:
Chair E-mail:
Frameworks for Group Decision & Negotiation: Group Support Systems
Session: TD22
Date/Time: Tuesday 15:15-16:45
Type: Sponsored
Sponsor: Group Decision & Negotiation Section
Track:
Cluster:
Room: Pointe Aux Trembles
Chair: Floyd L. Lewis
Chair Address: Western WA Univ., Decision Science Dept., Coll |
