SUNDAY, NOVEMBER 7

SA48 - Center, Room 9, Level 2
8:00am-8:45am
SAS Global Academic Program- Enterprise Guide Demonstration
Tom Bohannon, tom.bohannon@sas.com
This demonstration shows how one can use the menu driven tasks in SAS Enterprise Guide 4.2, the point and click interface to SAS, to perform common reporting and research tasks: querying, reporting and analyzing data. SAS Enterprise Guide provides a SAS graphical point-and-click interface that helps you exploit the power of SAS and publish dynamic results in a Microsoft Windows client application.

8:45am-9:30am
Automatic Forecasting Systems - Capabilities of Autobox
Tom Reilly, tomreilly@autobox.com
Autobox, launched in 1976, adjusts for outliers and adds variables to fix the data to where it should have been so that the model and forecast isn’t skewed. Autobox adapts to changes like trends, level shifts and seasonal pulses. Autobox adjusts for lead/lag effects for causal variables like price, promotion, holidays, etc.

SB48 - Center, Room 9, Level 2
11:00am-11:45am
Salford Systems - Real-World Data Analysis
Mikhail Golovnya, golomi@salford-systems.com
This tutorial, intended for the modeler wanting to apply data mining methodology, will emphasize real-world data analysis. The main concepts behind three well-known data mining algorithms will be discussed: CART®, MARS®, TreeNet®. Additionally, the course will discuss what is novel in the software, cover implementation, and show where the software fits in terms of other data mining software.

11:45am-12:30pm
GAMS Development Corp. - Application Prototyping with GAMS
Steve Dirkse, sdirkse@gams.com
GAMS Development will demonstrate how an application can be built using GAMS. We’ll use fundamental modeling practices, our state-of-the-art solvers and the latest in data access and application integration tools to quickly produce a working application.

SC48 - Center, Room 9, Level 2
1:30pm–2:15pm
JMP Division, SAS - Dynamic Visualization with JMP
Mia Stephens, mia.stephens@jmp.com
JMP is data analysis and visualization software from the SAS Institute. Intuitive, interactive and graphical, JMP lets you focus on the insight your data can provide. JMP provides a complete array of statistical procedures, from basic to advanced, and produces integrated and dynamic visual output. We will demonstrate popular JMP tools for data visualization, including Tabulate, Graph Builder®, Bubble Plots, the data filter and new mapping tools.

2:15pm-3:00pm
Innovative Scheduling - Practical Solutions to Real-World Logistics Problems
Ravindra K. Ahuja, ravi@innovativescheduling.com
In this tutorial, we will share with the audience our experiences of building successful solutions to complex real-world O.R. problems. We will describe several business problems, their modeling, algorithmic development and packaging into decision support systems. We will explain the difficulties encountered, how we addressed them, and the lessons we learned. We will also describe our approach for building optimization-based decision support systems in the rapid development mode.

SC51 - Center, Room 12, Level 2
1:30pm-2:15pm
Microsoft - Presenting Microsoft Solver Foundation 3.0
Nathan Brixius, nathan.brixius@microsoft.com
Microsoft Technical Computing’s Solver Foundation is a .Net runtime for mathematical programming, modeling and optimization. The latest release broadens the range of models that can be created, solved and analyzed using Solver Foundation Services (SFS) and OML to include linear and mixed-integer nonlinear problems. A demo and technology roadmap will be presented.

2:15pm-3:00pm
AnyLogic - AnyLogic in Brief
Andrei Borshchev, andrei@xjtek.com
AnyLogic is the one tool that recognizes the value of different approaches. With AnyLogic you can build models in multiple techniques or even combine them to create hybrid models that are truer to your system than those created with single-purpose tools. This workshop provides background, demos and an overview of the tool, as well as an insight into future features.

SD48 - Center, Room 9, Level 2
4:30pm-5:15pm
AMPL Optimization LLC - New and Forthcoming Developments in the AMPL Modeling Language and System
Robert Fourer, 4er@ampl.com
David M. Gay, dmgay@sandia.gov
We describe recent and ongoing projects to extend and enhance AMPL to facilitate both formulation and implementation of optimization models. Extensions to AMPL’s language will allow for more natural description of discrete models and stochastic data. New solver interfaces will make nontraditional solvers more accessible for practical modeling. A new callable interface to the AMPL system will facilitate business deployment.

5:15pm-6:00pm
Ziena Optimization, Inc. - New Developments in the KNITRO 7.0 Optimization Solver
Richard Waltz, waltz@ziena.com
This demonstration will highlight areas of improvement in the new version 7.0 release of the KNITRO optimization solver. Benchmark results will be presented showing significant performance gains for large-scale models. The demo will also provide an overview of how to effectively use KNITRO in a variety of environments and applications.

MONDAY, NOVEMBER 8

MA48 - Center, Room 9, Level 2
8:00am-8:45am
Syncopation Software - DPL Even Easier from Excel!
Chris Dalton, cdalton@syncopation.com
DPL 8 features an all new Excel add-in interface – work directly in Excel! Like a head-up display, key modeling and analysis features are right in front of you while you build your spreadsheet. Many of DPL's insightful outputs are now available in Microsoft Office native formats – analyze, format, tweak, copy and paste to create the ultimate PowerPoint presentation!

8:45am-9:30am
LINKS-simulations.com - Exploiting LINKS Simulations Web-Based Resources for Maximum Teaching and Learning Impact
Randall G. Chapman, chapman@chapmanrg.com.
How can an instructor teach effectively and efficiently with a large-scale, team-based, competitive supply chain management simulation? By exploiting the simulation’s web-based teaching and learning resources! This software demo explores web-based resources for supporting instructors and their students throughout LINKS simulation events.

MA59 - Hilton, Salon A, 4th Floor
8:00am-8:45am
Forio Business Simulations
Michael Bean, mbean@forio.com
During the session, Michael Bean will demonstrate how to create web simulations and use free drag-and-drop tools to create data visualizations for exploring what-if scenarios. He will discuss commonly occurring web simulation design challenges and potential solutions, and show examples of web simulations that have been used by thousands of users. He will also provide a series of guidelines for creating simulations online.

8:45am-9:30pm
Conrady Applied Science - Probabilistic Structural Equations and Causal Inference with BayesiaLab 5.0
Lionel Jouffe, jouffe@bayesia.com
Probabilistic Structural Equation Models (PSEM) based on machine-learned Bayesian Networks provide an efficient alternative to traditional Structural Equation Models (SEM). With BayesiaLab 5.0, PSEMs can be created through a series of semi-automatic clustering steps, which allows analysts to perform driver analysis extremely quickly, reducing research time from “months to minutes.” As an extension, an intervention function is available, which formally implements Pearl’s Do-Calculus for policy analysis.

MB48 - Center, Room 9, Level 2
11:00am-11:45am
Gurobi Optimization - Gurobi QP Optimizer
Edward Rothberg, rothberg@gurobi.com
The new Gurobi Optimizer 4.0 includes QP simplex, QP barrier and MIQP optimizers. The barrier and MIQP optimizers are parallel, and make efficient use of multiple cores. This tutorial will discuss some of the algorithmic issues associated with handling quadratic objectives in a math programming solver. We'll also look at a few QP formulation issues, and consider some of the tradeoffs associated with introducing quadratic terms into your models.

11:45am-12:30pm
AIMMS® (Paragon) - Robust Optimization in Action
Peter Nieuwesteeg, p.nieuwesteeg@aimms.com;
Ming Fang, m.fang@aimms.com
There are different approaches to handle uncertainty in your model. We will show robust optimization as one of them. We start with a short introduction in AIMMS, where we show how you can use it to build, solve and visualize your optimization problems. After that, we will demonstrate robust optimization as a way of handling uncertainty, without the need to rewrite your AIMMS application. We will show how easy, yet powerful, this is and what it can do to improve your model results.

MC48 - Center, Room 9, Level 2
1:30pm-2:15pm
LINDO Systems, Inc. - Latest Optimization Modeling Software from LINDO Systems
Mark Wiley, mwiley@lindo.com
LINDO Systems will demonstrate the latest enhancements to LINDO API, LINGO and What’sBest – their popular linear, integer, quadratic, general nonlinear and global optimization tools. Improvements include capabilities for solving extremely large LPs. Heuristics for quickly finding excellent solutions to integer and nonlinear programs. Automatic exploitation of quadratic expressions, second order cone and nonconvex quadratic expressions in the global solver.

2:15pm-3:00pm
Imagine That - ExtendSim-Power Tools for Simulation
Dave Krahl, davek@extendsim.com
Experience for yourself the ease of use, flexibility and power of a professional simulation tool – ExtendSim. Use custom interactive model interfaces and hierarchical submodels to rapidly explore simulation concepts and design options. Realize why ExtendSim is the tool to watch in the simulation industry. Don't miss this demo!

MD48 - Center, Room 9, Level 2
4:30pm-5:15pm
American Optimal Decisions - Portfolio Safeguard by AORDA
Gaia Serraino, serraino@aorda.com
Portfolio Safeguard is an advanced nonlinear mixed-integer optimization package used in risk management, financial engineering, military, medical and other applications. Design and solve complex optimization problems with built-in functions (linear, quadratic, maximum, StDev, variance, probability, VaR, CVaR, cardinality, fixed-charge, etc.) See real-life case studies in Windows Shell and MATLAB at www.aorda.com/aod/psg.action.

5:15pm-6:00pm
Lumina Decision Systems, Inc. - Analytica: What it does that spreadsheets can't
Surya Swamy, surya@lumina.com
Experienced analysts prefer Analytica to spreadsheets because of its visual influence diagrams, Intelligent Arrays, fast Monte Carlo, and scalability. Users say that they can build, verify and analyze models in a quarter to half the time it takes with a spreadsheet. Because it's designed by expert modelers, it's also an ideal tool for teaching students the art of effective modeling.

TUESDAY, NOVEMBER 9

TA48 - Center, Room 9, Level 2
8:00am-8:45am
Decision Frameworks - Don’t Square the Circle
Jeremy Walker, jeremy@decisionframeworks.com
Do you find your teams trying to square a circle? Are they focused on solving the right problem? Come see the value of proper decision framing combined with practical decision analysis. View the latest framing tools and techniques in DTrio integrated with TreeTop’s state-of-the-art decision trees, tornados and cumulative probabilities curves. Quality decision making – derived, not divined.

8:45am-9:30am
statistics.com - Data Mining In Excel
Peter Bruce, pbruce@statistics.com
The demo will illustrate common data mining classification and prediction techniques using XLMiner, a comprehensive data mining add-in for Excel that offers neural nets, trees, naive Bayes, logistic and linear regression, discriminant analysis (as well as clustering and association rules). The role of partitioning the data into training and validation samples will be discussed.

TB48 - Center, Room 9, Level 2
11:00am-11:45am
Frontline Systems, Inc. - Beyond the Excel Solver: Teaching and Practicing Management Science
Daniel H. Fylstra, dfylstra@frontsys.com
Learn how you can use Frontline’s Risk Solver Platform for management science education and practice, with new textbook editions by Ragsdale and Powell & Baker. Save classroom time with one easily learned package for linear and nonlinear optimization, risk analysis and Monte Carlo simulation, sensitivity analysis and decision trees, while smoothly handling old and new versions of Windows and Excel.

11:45am-12:30pm
Maximal Software - Why is Maximal now giving away free development copies of MPL for Windows and MPL for Python?
Bjarni Kristjansson, bjarni@maximalsoftware.com
We at Maximal have now decided to fundamentally change how we sell our software, by greatly reducing how much you pay for development copies of MPL, in many cases bringing the actual cost down to zero. We will explain several new programs: "Pay Maintenance Only,” "Subscription-Based Pricing," "Free Development Copies of MPL" and "Free Software for Academics." In the second part of the tutorial, we will introduce "MPL for Python," a new scripting and library interface for the MPL Modeling Language that takes full advantage of the many powerful features of Python.

TB62 - Hilton, Room 402, 4th Floor
11:00am-11:45am
The MathWorks - Discrete Event Simulation with SimEvents
Anuja Apte, anuja.apte@mathworks.com
SimEvents is the discrete event simulator in MathWorks product family. This presentation will cover: (1) introduction to SimEvents - the integration of MATLAB, Simulink and other MathWorks tools in a typical SimEvents workflow; (2) process simulation with SimEvents - product demonstrations that illustrate the use of SimEvents for process simulation to analyze bottlenecks, processing delays and resource requirements.

11:45am-12:30pm
ac2 Solutions - Supply Chain Management for Service Operations: Workforce Management and Performance Optimization using ac2 AWO Portal
Turgut Aykin, taykin@ac2solutions.com
Advanced Workforce Optimization (AWO) Portal by ac2 Solutions offers (1) advanced forecasting models for multiple seasonal patterns found in service systems such call centers, hospitals, and back offices; (2) ILP-based schedule optimization (work/off days, daily shift and break times) for centers with 10 to 20,000+ agents and complex scheduling rules in both skills-based and non-skills based environments; (3) strategic planning; and (4) performance optimization using real-time re-optimization and re-forecasting, scorecards, dashboards and agent adherence. We will take an in-depth look at the various capabilities offered and how they are used in call centers to manage workforce and optimize performance.

TC48 - Center, Room 9, Level 2
1:30pm-2:15pm
IBM ILOG - IBM ILOG CPLEX Optimization Studio: Complete Optimization Development Toolkit
John Gregory, jgregor@us.ibm.com
IBM ILOG CPLEX Optimization Studio now completely supports the rapid development and deployment of both mathematical programming and constraint programming models from a powerful IDE using the OPL language, programmatic APIs, or other 3rd party modeling interfaces. In this tutorial we will discuss the latest enhancements, while exploring the end-to-end model development capabilities supported in this single package, along with the various deployment options from CPLEX Optimization Studio, or the optional IBM ILOG ODM Enterprise.

2:15pm-3:00pm
Responsive Learning Technologies, Inc. - Online Games to Teach Operations and Supply Chain Management
Sam Wood, wood@responsive.net
Participate in a demonstration of online games that are used in operations management courses and supply chain management courses in hundreds of undergraduate and MBA-level programs to teach topics like capacity management, lead time management, inventory control, and supply chain design and logistics.

TD48 - Center, Room 9, Level 2
4:30pm-5:15pm
SAS - Building and Solving Optimization Models with SAS
Ed Hughes, Ed.Hughes@sas.com
Rob Pratt, Rob.Pratt@sas.com
OPTMODEL from SAS enables you to build and solve optimization models (including LP, MILP, QP, and NLP) and supports a range of standard and customized algorithms. We’ll demonstrate modeling and solving a business problem using OPTMODEL in conjunction with SAS data, analytic, and reporting capabilities. We’ll also illustrate how you can deploy this solution in a web-based interface with SAS.

5:15pm-6:00pm
Oracle - Crystal Ball
Michael Franden, michael.franden@oracle.com
Oracle’s Crystal Ball software is a spreadsheet-based software suite for predictive modeling, forecasting, Monte Carlo simulation and optimization. Crystal Ball is used in universities and schools worldwide to teach financial risk analysis, valuation, engineering, portfolio allocation, cost estimation, and project management. Join us for an overview of Crystal Ball and our teaching resources.

WEDNESDAY, NOVEMBER 10

WA48 - Center, Room 9, Level 2
8:00am-8:45am
FICO - Building Optimization Applications in Xpress
Oliver Bastert, oliverbastert@fico.com
This tutorial will focus on developing and deploying complete optimization applications using FICO’s array of mathematical modeling and optimization tools. These tools can be used for modeling, solving, analyzing and visualizing optimization problems, and integrating them seamlessly in business applications. During this tutorial, Bastert will explain how Xpress-Mosel, Xpress-IVE and Xpress-Application Developer can decrease development time for new optimization applications and enable you and your customers to make smarter decisions. The proven technologies offered by FICO can be used in range of applications such as supply chain management, transportation, finance, energy and more.

8:45am-9:30pm
Palisade Corporation - DecisionTools Suite Software Introduction
Thompson Terry, tterry@palisde.com
Palisade's DecisionTools Suite includes seven software packages that can be used by a wide variety of departments and individuals within any organization to better assess risk and make well-informed decisions. This comprehensive example demonstrates how all the components of the Suite can be used together to assess the likelihood of success of a new product launch, determine critical variables to limit risk exposure, optimize the inclusion of the new product into existing manufacturing facilities, and plan for the expansion of both production and distribution networks.

WB48 - Center, Room 9, Level 2
11:00am-11:45am
Cambio Technologies - Broadening the Operational Reach of Analytics
Frank Bria, frank.bria@cambiotechnologies.com
One of the more stubborn challenges for analytics-driven companies is bridging the gap between analytic output and operational input, and conversely the gap between operational results and analytic input–the classic divide that exists between the traditionally back-office analytics, and front-of-the-house operations. This session will take a look at how analytics can be made into a near-real-time process that's tightly coupled to the business operations, and will include a deeper dive into a real-world case study where data, models, optimization and operational decisioning have been seamlessly integrated.