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INFORMS Pre-Meeting Events

2017 Combined Colloquia

2018 INFORMS Combined Colloquia

Friday, November 2 – Saturday, November 3

The 2018 INFORMS Combined Colloquia will be held on November 2-3, the Friday and Saturday preceding the INFORMS Annual Meeting in Phoenix, AZ. This Combined Colloquia will feature the:

All three colloquia are designed to provide the attendees with technical material, career experiences from senior and junior OR/MS professionals, and an environment for networking.

Registration Fee





Application for the 2018 Colloquia are no longer being accepted

Questions should be addressed to the Combined Colloquia Chair, Burcu B. Keskin via

All colloquia participants are required to register for the 2018 INFORMS Annual Meeting in Phoenix. The registration fee for the colloquia does NOT include the registration fee for the INFORMS Annual Meeting. The colloquia has an ONLINE APPLICATION.

Click here to register for the 2018 INFORMS Annual Meeting in Phoenix.


The agenda is TBD, and the directory of participants will be available by September.

Directory Agenda

Agenda Coming Soon!

Friday Hotel Availability

There are limited hotel rooms for Friday evening, November 2. All group rates will expire on October 4, 2018. We anticipate that the rooms will sell quickly and advise you to make reservations early, well before the cut-off date. After that date, reservations will be accepted at prevailing rates based on room availability. Please visit the hotel page for information on contracted hotels.

Intended Colloquia Participants – Choosing the Right Colloquia for you!

The 2018 Doctoral Student Colloquium is intended for doctoral students who need guidance choosing their future path. The colloquium suits the needs of doctoral students who are deciding between a career as an academic or as a practitioner. It will include sessions dedicated to examining both career options and comparing/choosing between the two. It also addresses topics like navigating the job hunt, dealing with work-life balance issues, and suggestions concerning job market preparation and positioning. It has been organized with current doctoral students 2-3 years from graduation in mind; however, nominations will be accepted from students in their final year of a doctoral program as well.

The 2018 New Faculty Colloquium was introduced for the first time in 2014 and is specially tailored to meet the needs of academics at the beginning of their career. It gives faculty in their first three years insight into successfully navigating the tenure process, including how to build and maintain a research program, advise students, balance research and teaching and service, write successful proposals, and more. Nominations of faculty in their first or second year are preferred.

The 2018 Teaching Effectiveness Colloquium is designed to address the needs of graduate students about to enter the academic job market as well as faculty looking to stay abreast of the “best practices” regarding OR/MS/Analytics pedagogy. This year’s colloquium will explore some of the latest technology-driven trends in education, including in-depth looks at (1) designing and implementing a face-to-face MBA accessible Data Science course, (2) running high-engagement synchronous online case-based class sessions, and (3) designing and delivering an asynchronous online Project Management course.

Combined Colloquia Activities

The colloquia will begin on Friday at 7pm with a welcome cocktail reception and continue all day Saturday. Participants will also have opportunities to interact with each other and with the colloquia speakers during breakfast, lunch, and several refreshment breaks.

Thank You to Our Sponsors

AcadWdmCES IE_copur 1
NC State logo
NWE_EngHealth OSL_Horiz_CMYK_black

Participant Nomination

Due to increased demand and limited capacity, consideration for participation in the colloquia is by departmental nomination only. A department can nominate more than one eligible individual to each colloquium using the online application tool (insert hyperlink), but only a limited number of applicants will be accepted. In addition, nominations of one person to multiple colloquia are not permitted and will not receive consideration.

Burcu B. Keskin chairs the Combined Colloquia committee. All colloquia related questions should be addressed to Dr. Keskin via

She is joined by the individual colloquium chairs listed below.

Combined Colloquia Committee Chair
Burcu B. Keskin
University of Alabama
Information Systems, Statistics, and Management Science
300 Alston Hall
361 Stadium Drive
Tuscaloosa, AL 35487-0226
Phone: +1 (205) 348-8442

Teaching Effectiveness Colloquium

Teaching Effectiveness Colloquium

To be eligible for consideration, an individual must be a:

  • member of INFORMS or have applied for membership at the time of the nomination;
  • faculty member or instructor in one of INFORMS’ constituent disciplines or be within one year of completing all degree requirements for a PhD in one of INFORMS’ constituent disciplines.

Faculty members who have attended a previous year’s TEC may be nominated again, but preference will be given to first-time nominees should there be a capacity constraint. A complete nomination by the department will include:

  1. letter of recommendation from the department chair;
  2. list of OR/MS courses taught or expected to be taught by the nominee;
  3. list of INFORMS Teaching Effectiveness Colloquia and workshops that the nominee has attended in the past;
  4. full mailing address, email address, and phone number of the nominee. 

Teaching Effectiveness Colloquium Nomination process involves an ONLINE APPLICATION.  
Click here to access the TEC Online Application form

2018 Teaching Effectiveness Colloquium Chair

Robert Carraway
Darden School of Business
University of Virginia
Charlottesville, VA 22903
Phone: +1 (434) 924-4828

All TEC questions should be directed to Dr. Carraway.

CIST 2017

INFORMS 10th Conference on Information Systems & Technology (CIST 2018)

Sponsored by INFORMS INFORMATION Systems Society
Saturday, November 3 – Sunday, November 4
INFORMS Information Systems Section logo

The INFORMS 10th Annual Conference on Information Systems & Technology (CIST 2018) will take place on Saturday, November 3 and Sunday, November 4 in conjunction with the INFORMS Annual Meeting in Phoenix, AZ.

For more information on the Call for Papers, submission details, and more go to  

All CIST participants are required to register for the 2018 INFORMS Annual Meeting in Phoenix.   The registration fees for CIST do NOT include the registration fee for the INFORMS Annual Meeting.   Click here for registration.   If you have already registered for the Annual Meeting please contact INFORMS Customer Service at or call 443.757.3500 to add the bundled CIST registration.


Early Bird Price (before Oct. 8) – $338
After Oct 8. – $400


Early Bird Price (before Oct. 8) – $198
After Oct 8. – $250


hands manipulating a 3d representation of a network

INFORMS Conference on Service Science (CSS2018)

Sponsored by INFORMS Service Science Section
Saturday, November 3
Renaissance Phoenix Downtown Hotel
INFORMS Service Science Section logo

CSS2018: INFORMS 1st Conference on Service Science will be held on Saturday, November 3 preceding the INFORMS Annual Meeting at the Renaissance Phoenix Downtown Hotel.

The program committee is committed to organizing a quality program with diverse participants sharing their vision, knowledge and experience in Service Science Research, Education, and Applications.

Registration Fees

Register Now for Early Bird Pricing! Early Registration cut-off is October 8, 2018.

Download Service Science Shedule


Early Bird Price – $100
After Oct 8 – $125


Early Bird Price – $120
After Oct 8 – $145


Early Bird Price – $75
After Oct 8 – $100

Retired Member*

Early Bird Price – $75
After Oct 8 – $100

Retired Non-Member

Early Bird Price – $87
After Oct 8 – $112

*Must be a current member of Service Science. All non-member categories include a one-year membership to Service Science.

All CSS2018 participants are required to register for the 2018 INFORMS Annual Meeting in Phoenix. The registration fee for CSS2018 does NOT include the registration fee for the INFORMS Annual Meeting. Click here for registration.

For more information on the list of topics, important dates and the submission site go to:

Organizing Committee

Conference Co-chairs: Robin Qiu and Hui Yang
Program Chair: Weiwei Chen,
Publication Chair: Hui Yang,
Publicity Chair: Chiehyeon Lim,

All questions about submissions should be emailed to Prof. Weiwei Chen,

people talking in front of servers

INFORMS 2nd Workshop on Data Science

Sponsored by INFORMS College on Artificial Intelligence
Saturday, November 3
INFORMS College on Artifical Intelligence Section logo

The INFORMS 2nd Workshop on Data Science is a premier research conference dedicated to developing novel data science theories, algorithms, and methods to solve challenging and practical problems that benefit business and society at large. The conference invites innovative data science research contributions that address business and societal challenges from the lens of statistical learning, data mining, machine learning, and artificial intelligence. The conference invites original research addressing challenges ranging from marketing and finance problems to problems in health care, energy, cybersecurity, fraud detection, social network services, talent analytics, privacy, credibility, etc. Contributions on novel methods may be motivated by insightful observations on the shortcomings of state-of-the art data science methods in addressing practical challenges, or may propose entirely novel data science problems. Research contributions on theoretical and methodological foundations of data science, such as optimization for machine learning and new algorithms for data mining, are also welcome.

For detailed information about the program and call for papers go to

Registration Fees





All Workshop on Data Science participants are required to register for the 2018 INFORMS Annual Meeting in Phoenix.   The registration fees for this workshop does NOT include the registration fee for the INFORMS Annual Meeting. Click here for registration.

Important Dates

Paper Submission Deadline – July 3, 2018
Notification of Acceptance – August 20, 2018

Research contributions may include

  • Novel predictive modeling approaches
  • Novel performance measures of data science methods that account for important practical implications
  • Data science methods for health care: chronic disease management, preventative care, etc.
  • Prediction of rare events and anomaly detection
  • Methods for induction and inference with missing values
  • Data science for industrial applications: energy, education, finance, supply chain, e-commerce, etc.
  • Data-driven methods for effective risk management
  • Data-driven methods for cyber security
  • Data acquisition, integration, cleaning, and best practices
  • Visualization analytics for business data
  • Novel methods for social network analysis
  • Mobile analytics
  • Large-scale recommendation systems and social media systems
  • Novel methods for text analytics and natural language processing
  • Experiences with big data project deployments
  • Deep learning and AI business applications
people talking in front of servers

INFORMS 13th Data Mining & Decision Analytics Workshop

Sponsored by INFORMS Data Mining Section
Saturday, November 3
INFORMS Data Mining Section logo

The Data Mining Section of INFORMS is organizing the 2018 INFORMS Workshop on Data Mining and Decision Analytics on November 03, 2018 in Phoenix, AZ in conjunction with the 2018 INFORMS Annual Conference.

Registration Fees





All DMDA workshop participants are required to register for the 2018 INFORMS Annual Meeting in Phoenix.   The registration fees for the DMDA Workshop does NOT include the registration fee for the INFORMS Annual Meeting. Click here for registration.

These fees listed above include full-day meal courses (breakfast, lunch, and dinner) for the day of November 03. Only the registered participants (both to the INFORMS Conference and to the DMDA Workshop itself) would be eligible to present, participate, and audit the event.

Copyright: The DMDA workshop will not retain the copyrights on the papers; so, the authors are free to submit their papers to other outlets. The papers will be shared to participants on a CD, but they will not be posted online.

Workshop Sponsors




For inquiries, please contact Workshop Chairs

Ali Dag, University of South Dakota, Decision Science and Operational Analytics Department,
Shouyi Wang, University of Texas at Arlington, Industrial Engineering Department,

Highlights of the DMDA Workshop
Best Paper Presentation Contest

Authors of all papers which are accepted after a rigorous one-round review process AND after an in-person presentation at the workshop would be eligible for this contest. The contest is focused on coherence between the content of the paper as well as the presentation. It will be judged by a panel of DMDA Workshop chair and session chairs on any topic related to data mining & decision analytics. In addition to a name-engraved plaque, following monetary awards would be presented to the winners:
Best Student Paper: $250; Best Non-student Paper: $250.

Editors’ Panel: How to publish in Top journals?

Top-tier premier outlets of the leading journals in the field of data mining and decision analytics would be represented by their respective editors.  After a short presentation of the editors (5 minutes each), there will be a Q&A session, in which the audience would have chance to ask questions to the editors. The following list of editors (and the corresponding journals they would represent in alphabetical order) will be participating at this panel:
Information Systems Research —Dr. Sudobha Kumar
Productions and Operations Management —Dr. Saravanan Kesavan
Management Science —Dr. Manel Baucells
Journal of Operations Management — Dr. Suzanne de Treville
Management Science —Dr. Hamid Nazarzadeh

Keynote Speakers of the DMDA Workshop:

Dr. Subodha Kumar: is Dr. Subodha Kumar joins the Fox School as a Full Professor within the Department of Marketing and Supply Chain Management. He will hold secondary appointments within the Management Information Systems and Statistical Science departments. Kumar also will serve as the Director of Fox’s Center for Data Analytics. Kumar arrives at Fox after holding the Carol and G. David Van Houten Professorship at Texas A&M University’s Mays Business School. He has held appointments at the University of Washington and the University of North Carolina at Charlotte. He also holds a Visiting Distinguished Professorship at the Dongbei University of Finance and Economics in China and a Visiting Professorship at the Indian School of Business in Hyderabad, India. His research and teaching interests include healthcare analytics, social-media analytics, web analytics, and cybersecurity, among others. Kumar has published numerous papers in high quality journals and conferences. In addition, he has authored a book, and co-authored book chapters, Harvard Business School cases, and Ivey cases. He also holds a patent. Kumar serves as the deputy editor of Production and Operations Management and a senior editor of Decision Sciences. Kumar studied at the University of Texas at Dallas, where he earned his PhD and MBA. He also received a Master’s degree from the Indian Institute of Technology in Kanpur, and a Bachelor of Science degree in Mechanical Engineering from BIT Sindri, both in India.

Dr. Roger Chiang is a Professor of Information Systems at Department of Operations, Business Analytics, and Information Systems, Carl H. Lindner College of Business, University of Cincinnati.  Chiang’s research interests are in big data and analytics, data and knowledge management, and intelligent systems.  He has articles published by journals such as ACM Transactions on Database Systems, ACM Transactions on Management Information Systems, Communications of the ACM, Data & Knowledge Engineering, Decision Support Systems, Journal of American Society for Information Science and Technology, Journal of Management Information Systems, Marketing Science, MIS Quarterly, and Very Large Data Base Journal. He has served as the senior editor of The DATA BASE for Advances in Information Systems, Decision Sciences, and Journal of the Association for Information Systems, and the associate editor of Information & Management, Journal of Database Management, and MIS Quarterly.  He has been the reviewer for more than twenty journals of computer science and information systems.

Aaron Burciaga is a data scientist and leader in Booz Allen’s defense business, focusing on the application of descriptive, predictive, and prescriptive forms of analysis to drive strategic decision making and millions of dollars in cost savings for his clients. In his more than 15 years of experience, Aaron has shaped commercial, federal, and Department of Defense strategies in data analytics, inventory management, requirements forecasting, maintenance planning, transportation networks, energy planning, organizational analytics maturity assessments, and much more.

Aaron is a sought-after speaker, sharing thought leadership and training at the crossroads of his technical interests: advanced analytics, machine intelligence, global logistics, and information management.

Prior to joining Booz Allen, Aaron worked at Accenture Digital—Advanced Analytics as an analytics executive. Before turning his attentions to commercial and public sectors, Aaron was a Marine Corps officer and Iraq war veteran, and was the head operations research analyst and director of an operations analysis activity at the Pentagon, supporting the Marine Corps Headquarters. He is currently a Marine reservist, supporting the Chief Information Officer at Headquarters Marine Corps-Pentagon as the Big Data Analytics Architect.

Aaron graduated from the U.S. Naval Academy in 2003 and earned his M.S. in Operations Research from the Naval Postgraduate School in 2010. He is also a Certified Analytics Professional.

neural network imagery

QSR 20th Anniversary Celebration Workshop - Past, Present and Future

Sponsored by INFORMS Quality, Statistics, and Reliability (QSR) section
Saturday, November 3
INFORMS Quality, Statistics, & Reliability Section logo

As Quality, Statistics, and Reliability (QSR) is turning 20 this year, we are proud to announce the QSR 20th Anniversary Workshop to celebrate the past accomplishments, assess the present status, and plan for the future.

The Quality, Statistics, and Reliability (QSR) is an interdisciplinary section, comprised of members from industrial and systems engineering, statistics and business communities. The purpose of the QSR Section is to encourage discussion and interaction among individuals having an interest in Quality, Statistics and Reliability research. With the continuous efforts of members from 50+ countries/regions all over the world, QSR has made significant progresses, and has become the home for many academicians.

We would like to invite you to join us in the pre-INFORMS workshop to celebrate the QSR’s 20th anniversary in Phoenix on Saturday, November 3, 2018. The workshop includes various daytime activities including keynote speeches, panel discussions, town-hall meeting, and an evening reception. This will be a great opportunity for QSR members to get together, and enjoy a memorable day with old friends and make new friends. All current and former QSR members and guests that are interested in interacting with the QSR community, are welcome to join!

Registration Fees

Register Now for Early Bird Pricing! Early Registration cut-off is October 8, 2018.

Member & Non-Member

Early Bird Price – $150
After Oct 8 – $200


Early Bird Price – $75
After Oct 8 – $100

Retired Member & Non-Member

Early Bird Price – $150
After Oct 8 – $200

All QSR Workshop participants are required to register for the 2018 INFORMS Annual Meeting in Phoenix.The registration fee for the QSR Workshop does NOT include the registration fee for the INFORMS Annual Meeting. Click here for registration..

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Technology Workshops

Saturday, November 3

Technology Workshops

Join us on Saturday, November 3 for complimentary, in-depth technology workshops offered by conference exhibitors. These hands on demo style presentations provide a unique opportunity to learn new ideas and network with real companies in the industry.

Check back here for the workshop schedule and descriptions.  Register for these workshops when registering for the conference or by calling customer service at 443-757-3500. Remember that these occur on Saturday before the conference begins, so you’ll need to adjust your travel to attend.

Saturday, November 3, 2018
Room 124B

How to engage with your clients for more effective analytics
By: Max Henrion

In this workshop, Max Henrion will show how you can use Analytica as a key aid for more effective conversations with your clients, including how to:

  • Draw influence diagrams to help clients articulate their real objectives and decisions, and to work with them to frame and scope problems.
  • Use sensitivity analysis to help your clients understand what data and assumptions really matter and why.
  • Employ agile modeling methods to build decision tools that end users find usable and useful.
  • Design compelling visualizations to provide your clients a basis for informed and confident decisions.

Saturday, November 3, 2018
Room 126B

Applying AnyLogic Simulation to Solve Various Business Challenges

Rainer Dronzek, Regional Director, AnyLogic North America
Arash Mahdavi, Simulation Modeling Consultant, AnyLogic North America

Take a journey through state-of-the-art simulation technologies and see demonstrations of simulation modeling at work in domains such as Manufacturing, Healthcare, Supply Chain, Railway, Oil and Gas, Human Resources, Pedestrian movement and Road Traffic. During the workshop, we will discuss different simulation methodologies (Discrete Event, Agent Based, System Dynamics) and how you can use them in any combination (Multimethod modeling). We will showcase how multimethod models produce more realistic and useful information and have the potential to provide more elegant architecture. We also showcase vertical libraries of AnyLogic, such as modeling sophisticated conveyor networks and Automated Guided Vehicles (AGVs) with the new Material Handling Library. Lastly, We will demonstrate how to fully leverage AnyLogic Cloud when running complex multiple-run experiments such as Monte-Carlo and Parameter Variation.

Saturday, November 3, 2018
Room 122A

Nonlinear optimization in a nutshell with Artelys Knitro

Nonlinear optimization is used in many applications in a broad range of industries such as economy, finance, energy, health, 3D modeling, and marketing. With four algorithms and great configuration capabilities, Artelys Knitro is the leading solver for nonlinear optimization and demonstrates high performance for large scale problems. This session will introduce you to Artelys Knitro, its key features and modeling capabilities, with a particular emphasis on the latest major improvements including a new algorithm designed for second order cone constraints, and a new API to build-up models piece-by-piece with structural information. Finally, this presentation will end with an insightful session on nonlinear modeling tips and tricks!

Saturday, November 3, 2018
Room 122C

Ride-sharing Services Research at Didi Chuxing

Didi Chuxing is the world’s leading mobile transportation platform. The company offers a full range of mobile tech-based mobility options for nearly 400 million users. As many as 20 million rides were completed on DiDi’s platform on a daily basis, making DiDi the world’s second largest online transaction platform. DiDi acquired Uber China in August 2016. DiDi is committed to working with communities and partners to solve the world’s transportation, environmental and employment challenges using big data-driven deep-learning algorithms that optimize resource allocation. In 2016, Didi was named one of the World’s 50 Smartest Companies by MIT Technology Review.

Saturday, November 3, 2018
Room 121C

Calling all OR Heroes: Learn how to model and deploy solutions in 75% less time with FICO® Xpress Insight
By: Horia Tipi

Join our hands-on workshop that shows you how FICO® Xpress Insight helps you read data in any format from any source, integrates with your own machine learning and solvers (or Xpress Solvers), enables you to collaborate with your business users, deploys decision support or automated solutions, and does it all in 75% less time.

  • We’ll provide an overview of all of the great new features of FICO Xpress Solvers, Mosel, Workbench, and Insight.
  • We will workshop using Xpress Mosel—the premier mathematical modeling, analytic orchestration and programming language—and Xpress Insight.
  • Leveraging real business examples, we will showcase how you can use your own solver(s) to integrate with the powerful Xpress Insight platform.
  • We will also cover the open Xpress Mosel native solver interface, which empowers all solver developers to extend Xpress Mosel within their own environment, connecting them instantly with thousands of users.

All attendees will receive their complimentary license to FICO Xpress Optimization Community License.

Saturday, November 3, 2018
Room 126B

Introduction to Simulation with FlexSim

Join FlexSim CEO Bill Nordgren in a hands-on workshop where you’ll build simulation models using FlexSim simulation software. FlexSim combines powerful statistical analysis with 3D visualization, allowing you to test “what if” scenarios in a risk-free virtual environment. You’ll be introduced to FlexSim’s powerful standard object library, which includes a variety of pre-built, customizable objects that you can drag and drop quickly and accurately imitate a real-world system—plus our vast array of logic-building and application-specific tools for any modeling situation. Stop by and see how FlexSim can help you get the most of your process improvement initiatives.


Saturday, November 3, 2018
Room 121A

From Analytic Models to Operational Results – Without the Pain
By: Daniel Fylstra, President, Frontline Systems Inc.

Too many analytic models are never deployed into operational systems, and for those that are, the time, cost and pain are far too great.  There’s a better way – an “alternative to analytics complexity.”  This workshop will show how you can use familiar, low-cost tools such as Excel, Power BI and Tableau and effective, “low-code” or “no-code” approaches to model creation and deployment, using RASON®, PowerApps and Microsoft Flow.  We’ll cover the gamut from data mining and machine learning, Monte Carlo simulation and risk analysis to conventional and stochastic optimization models, and deployment from on-premise servers to cloud and mobile apps.

Saturday, November 3, 2018
Room 122A

 GAMS – An Introduction
Presenters: Steven Dirkse & Lutz Westermann

Get ready to learn the basics of GAMS, i.e. how to develop algebraic models and solve them using state-of-the-art algorithms. In this workshop, the key concepts of GAMS and the fundamentals of the language (e.g. sets, data, variables, equations) will be introduced. The main part will consist of a demonstration, where we build a simple optimization-based decision support application from scratch. We show how GAMS supports an easy growth path to larger and more sophisticated models, promotes speed and reliability during the development phase of optimization models, and provides access to all of the most powerful solver packages. Along the way we will look at some of the data management tools included in the GAMS system and show how to analyze and debug large problems using the various tools available within GAMS. This introduction assumes no familiarity with GAMS. There will be time for questions both during and at the end of this workshop.

Saturday, November 3, 2018
Room 121C

Recent Developments in the Gurobi Optimizer
By Dr. Robert Bixby (Gurobi Board Member and Co-founder), Dr. Zonghao Gu (Chief Technical Officer and Co-Founder), Dr. Pano Santos (Sr. Manager of Content), Dr. Daniel Espinoza (Sr. Developer)

We will give an overview on new features and improvements in the current Gurobi release. We will cover the latest developments in the Gurobi Optimizer, which include new and enhanced heuristics and presolve reductions, such as Q matrix adjustment and linearization. We will present computational results to show that these techniques are able to improve MIQP performance very significantly.

Saturday, November 3, 2018
Room 124A

Latest news about IBM Decision Optimization
By Virginie Grandhaye, IBM and Xavier Nodet, IBM

We will present and demo the latest advances made by the IBM Analytics team in Mathematical Programming and Constraint Programming engines, as well as in leveraging IBM Data Science Experience (DSX), a collaborative environment built by data scientists for data scientists.

Learn about the latest features and performance improvements in IBM ILOG CPLEX Optimization Studio. CPLEX and CP Optimizer engines continue to improve both in terms of the optimization problems they support, and solver performance they deliver.  Specifically, the upcoming version of CPLEX Optimization Studio will include the capability for CPLEX to solve lexicographic Multi-Objective problems.
Then we will explain how, with IBM Decision Optimization for Data Science Experience, you can:
* Solve Python based mathematical problems by calling optimization engines
* Use your existing OPL models to save on development time
* Investigate and compare scenarios to find the best solution to a problem, either manually or programatically.
* Deploy your models to create micro-services in seconds
The talk will consist of demos of all these capabilities and highlight the resources available online to discover and learn these capabilities.

Saturday, November 3, 2018
Room 121B

Data Discovery and Analysis with JMP Pro 14

JMP Statistical Discovery Software is visual and interactive desktop software for Windows and Mac, with a complete array of integrated graphical and statistical features. 
In this workshop we use JMP 14 Pro to demonstrate tools for data preparation, visualization, and exploration, including recode, Graph Builder®, the data filter, and geographic mapping.  We’ll see how to analyze univariate, bivariate, and multivariate data, and will demonstrate tools for building and interacting with predictive models.  Finally, we’ll see how to share results using HTML output and interactive web reports.

Saturday, November 3, 2018
Room 121A

A Guide to Implementing Optimization-Based Planning Models Quickly with LINGO
By: Linus Schrage

Learn how several new features in LINGO 18 can make the life of a modeler/analyst easier. Visualizing and interpreting solutions is easier with nearly two dozen graphing/charting functions, including new Gantt and Space-Time diagrams. Incorporating the solvers into your applications is a breeze with interfaces to numerous development environments such as Python as well as an enhanced and simplified interface to R. Getting solutions on a wide variety of challenging optimization problems is even faster, with newly enhanced solvers — especially on quadratic and mixed integer nonlinear problems. Come explore how these tools can streamline your next optimization modeling project.

Saturday, November 3, 2018
Room 124A

Data Analytics with MATLAB

Learn how to take advantage of the latest and greatest features of MATLAB for descriptive, predictive and prescriptive analytics.  With MATLAB data analytics, you can turn large volumes of complex data into actionable information for making decisions. Deploy your applications on embedded devices, as web apps, or in enterprise systems.

See how MATLAB helps you build combined predictive and prescriptive analytics applications through a demand forecasting and scheduling example featuring preprocessing, visualization, machine learning, and optimization.

Start with messy historical load and weather data. Remove outliers, fill in missing values and synchronize timestamps. Use the Regression Learner app in MATLAB to explore various machine learning algorithms and find the best predictive model. Generate a load forecast to feed into the unit commitment optimization model.

Take a deep dive into new problem-based optimization modeling workflow with the unit commitment model. This workflow allows you to specify your objectives and constraints much like with a modeling language. You will see how this approach simplifies translating a problem into an optimization model for solution by either MATLAB or other solvers.

Amplify your work by sharing with colleagues. Walk through building and deploying a web app for exploring and optimizing alternative generator configurations.


Saturday, November 3, 2018
Room 122C

Watson Studio and CPLEX: Overview of Watson Studio for advanced modeling and optimization / Latest developments/results in CPLEX and ODH+CPLEX

Organizations are increasingly hiring data scientists with open source skills. Find out how to leverage the capabilities of Watson Studio to work with open source tools like R, Python, Spark, as well as integration with CPLEX and Weather Company data. Come and learn how Watson integrates with Open Source tools to enable clients to get the best of both worlds (open source programming and the modeler GUI for those who prefer not to code). We will also review the latest developments/results in CPLEX Optimization Studio and the new ODH+CPLEX.

Saturday, November 3, 2018
Room 123

Quantitative Risk Analysis and Analytics with the DecisionTools Suite
By Dr. Raul Castro

Uncertainty can be a source of great pain or great value for management. This workshop will present a series of tools that are helpful for analyzing and quantifying business risks in a Microsoft Excel environment. The tools that will be presented are part of Palisade’s DecisionTools Suite and provide business solutions to problems such as:

  • Determining risk sensitivity of an outcome that is influenced by a set of variables.
  • Choosing the appropriate way of modeling variability with historical data or expert opinion.
  • Measuring the cost/value of risk in projects and investments decisions.
  • Forecasting variables that accommodate historical trends or seasonal patterns.
  • Visualizing decisions in terms of potential risks and results.
  • Optimizing under risk conditions to obtain mitigation strategies.
  • Analyzing data for classification and quantification.

Saturday, November 3, 2018
Room 123

Using Text Mining in Business Analytics to extract Meaningful Information from your Text Data

Business Analytics and Operations Research involves researching incident reports, corporate reports, social media, customer reviews and much more. The volume of available text data has exploded in the digital age. It is extremely time consuming, expensive and in many cases impossible to read each and every document related to one’s research.  Text Analytics makes it possible to quickly import and analyze very large volumes of text documents. It can provide you with real value, but only if you use it correctly. This presentation will showcase the different text analytics approaches used for Business Analytics such as computer assisted qualitative coding; exploratory text mining; content analysis dictionaries or taxonomies, supervised and unsupervised machine learning. We will discuss when one technique may be more appropriate than another and how they can work together to analyze text data.

Saturday, November 3, 2018
Room 122B

Play the Sourcing Game: A new online game to teach negotiation, contracting and inventory management in supply chains
Presented by: Sam Wood, President

From the creators of Littlefield Technologies and the Supply Chain Game comes a new online game to teach sourcing and purchasing in supply chains.  In the Sourcing Game, teams of students produce inventory, negotiate purchasing contracts with other teams, and sell inventory in a retail market.  After introducing the game, participants will play an actual game.  Although not required, participants are encouraged to bring a laptop or tablet computer.

Saturday, November 3, 2018
Room 121B

Full-Spectrum Analytics with SAS

The SAS operations research capabilities—optimization, simulation, and scheduling—are just one part of the extensive array of analytic products and solutions that SAS provides.  With SAS you can prepare input data from a variety of sources and quickly and easily create better models in descriptive, predictive, and prescriptive analytics.  SAS also enables you to put your models to work quickly, using automated, interactive processes that work in both batch and real-time environments.  A prominent element of analytics with SAS is artificial intelligence, including machine learning and deep learning, natural language processing, and computer vision.

We’ll demonstrate some of the latest updates to SAS analytics, in operations research and beyond.  We will discuss enhancements to analytic methods, integration between different approaches, and the practical impact that SAS analytics have around the world.  In the workshop we will make extensive use of recent case studies that we’ve drawn from our successful work with customers across a broad range of industries.

Saturday, November 3, 2018
Room 122B

New Innovations: Cloud Computing, Real-Time Scheduling, Industry 4.0, and More
Presented by: Renee Thiesing and Katie Prochaska (Simio LLC)

With Simio leveraging the cloud computing power of Microsoft Azure to support your most demanding applications, its compatibility with Schneider Electric’s Wonderware to allow detailed production scheduling with real-time data and risk analysis, and ability to schedule and reschedule in real-time, Simio is leading the way in Industry 4.0 and creating a digital factory. Outside our immense technology partner advances, we have great new features, application areas and capabilities! Come explore an overview of the new Simio experience and see why we are always “Forward Thinking.”