Technology Tutorials

Developing Optimization Applications Quickly and Effectively through Algebraic Modeling in AMPL
Presented by: Robert Fourer, President, AMPL Optimization Inc.,

Monday, October 23, 2017

Can you negotiate the complexities of the optimization modeling lifecycle, to deliver a working application before the funding runs out or the problem owner loses interest? Algebraic languages streamline the key steps of model formulation, testing, and revision, while offering powerful facilities for incorporating models into larger systems and deploying them to users. This presentation introduces algebraic modeling for optimization by carrying a single illustrative example through multiple contexts, from interactively evolved formulations to scripted iterative schemes to embedded applications.  We feature the new Python API for AMPL, and the QuanDec system for creating web-based collaborative applications from AMPL models.

Artelys Corp.
Discover Artelys Knitro, the leading solver for nonlinear optimization
Presented by: Richard Waltz, Senior Scientist, Artelys Corp

Monday, October 23, 2017
Artelys Knitro is the premier solver for nonlinear optimization problems. This software demonstration will highlight the latest Knitro 10.3 developments, including a new preconditioner option, advancements in solving large nonlinear least-squares models and enhancements to the R interface.  In addition, we will summarize some of new features coming in Knitro 11.0.  The demo will also provide an overview of how to effectively use Knitro in a variety of environments.

IIOT and Data-Driven Modeling in Asset Heavy Industry
Presented by: Tailai Wen, Data Scientist, Roy Keyes, Senior Data Scientist

Sunday, October 22, 2017
The traditional industries start moving towards big data in recent years. While most acknowledge it may bring efficiency improvement and cost reduction to those asset-heavy sectors, to deploy data modeling infrastructure in an enterprise to industrial scale still faces challenges that were not seen in align and less complex modern industries before. In this talk, we will introduce the opportunities and obstacles in this field using real examples that Arundo works on, and demonstrate our solutions to these challenges. 

Didi Chuxing
Didi Chuxing Technology Session
Presented by: Dr. Wan Zhixi, Mr. Adam Li

Tuesday, October 24, 2017
(Didi Chuxing is the world’s leading mobile transportation platform.) You are warmly invited to learn more about our business and research topics related to platform economics, operations management, transportation science and engineering. You will learn about various opportunities to work together with our internal research teams.

How to deploy your analytic models to empower non-technical business users.
Presented by: Jim Williams, Pre Sales Consulting-Principal Consultant, Decision Management Suite

Tuesday, October 24, 2017
You have a team with great analytics background.  They have developed advanced analytical tools using Python, R, or with your current traditional optimization solver.  They have derived crucial insights from your data, and figured out how your decisions shape your customers’ behaviors.  Now it’s time to put these critical analytical insights in the hands of your non-technical business users.

In this tutorial, we will cover how FICO’s Optimization Suite (including Xpress-Mosel, Xpress-Workbench, and Xpress-Insight) make it possible to embed your analytic models in user-friendly business-user facing applications. Learn how you can supercharge your analytic models with simulation, optimization, reporting, what-if analysis and agile extensibility.

Frontline Systems, Inc Data Mining, Simulation and Optimization in Your Web Browser
Presented by: Daniel Fylstra, President, Frontline Systems Inc.

Tuesday, October 24, 2017
12:50-1:35pm is the new, simple, point-and-click way to create and run analytic models using only your web browser – that also works interchangeably with your spreadsheet.  Whether you need forecasting, data mining and text mining, Monte Carlo simulation and risk analysis, and conventional and stochastic optimization, you can “do it all” in the cloud.  We’ll show how you can upload and download Excel workbooks, pull data from SQL Server databases and Apache Spark Big Data clusters, solve large-scale models, and visualize results – without leaving your browser.  If you’re more comfortable working on your own laptop or server, we’ll show how you can do that, too.

GAMS Development Corp.
GAMS – An introduction
Presented by: Steve Dirkse

Sunday, October 22, 2017
We’ll introduce the key concepts of the GAMS language (e.g. sets, data, variables, equations) as we show how to build an optimization-based decision support application.  Along the way, we’ll show how GAMS supports an easy growth path to larger and more sophisticated models and provides access to the most powerful large-scale solver packages.  We will also 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.  Finally, we’ll show how our latest release supports integrating GAMS with object-oriented programming languages like C#, Python, and Java.

Gurobi Optimization
Optimization with R
Presented By: Dr. Renan Garcia, Sr. Optimization Support Engineer, Gurobi Optimization

Monday, October 23, 2017
Are you interested in leveraging mathematical programming technology from within R? This tutorial will survey some of the more popular optimization-related packages in the vast R ecosystem. This includes an overview of the Gurobi R package, along with detailed examples of how to build the optimization models you are looking to solve.

Generic Callbacks in CPLEX, a New Approach
Presented by: Xavier Nodet

Monday, October 23, 2017
During this tutorial, you will learn how to use a new Generic Callback framework in CPLEX Optimizer.  These callbacks allow users to benefit from all the CPLEX features without restriction, and offer a simple API to either get information from CPLEX, or drive CPLEX behavior.

Lumina Decision Systems
Why go “Beyond the Spreadsheet” with Analytica 5.0
Presented by: 
Max Henrion, PhD
Chief Executive Officer
Lumina Decision Systems, Inc.
Los Gatos, CA, USA.

Sunday, October 22, 2017
Practitioners of analytics and OR increasingly recognize spreadsheets as an obstacle to clear and scalable modeling. They are moving to visual modeling tools like Analytica using influence diagrams to structure models at the same level that you conceptualize them. You identify key decisions, uncertainties, objectives, and constraints. You define relationships between these objects, which may be multidimensional rather than at the level of cells. Analytica models are typically 10 to 100 times simpler than equivalent spreadsheets, and correspondingly faster to build, understand and audit.  This tutorial is a rare chance to see Max Henrion, the originator of Analytica, using influence diagrams to structure a problem. He will demonstrate agile development, using Intelligent Arrays to scale models and integrate Monte Carlo simulation and optimization. Max will also show what’s new in release 5.0 of Analytica, including an updated interface, parallel processing, and web deployment on the Analytica Cloud Player. 

LINDO Systems, Inc
Optimization Modeling Tools from LINDO Systems
Presented by: Mark Wiley

Monday, October 23, 2017
Exceptional ease of use, widest range of capabilities, and flexibility have made LINDO software the tool of choice for thousands of Operations Research professionals across nearly every industry for over 30 years. LINDO offers a full range of solvers to cover all your optimization needs. The Linear Programming solvers handle million variable/constraint problems fast and reliably. The Quadratic/SOCP/Barrier solver efficiently handles quadratically constrained problems. The Integer solver works fast and reliably with LP, QP and NLP models. The Global NLP solver finds the guaranteed global optimum of nonconvex models. The Stochastic Programming solver has a full range of capabilities for planning under uncertainty.

Get all the tools you need to get up and running quickly. LINDO provides a set of versatile intuitive interfaces to suit your modeling preference.

  • What’s Best is an add-in to Excel that you can use to quickly build spreadsheet models that managers can use and understand.
  • LINDO has a full featured modeling language for expressing complex models clearly and concisely, and it has links to Excel and databases that make data handling easy.
  • LINDO API is a callable library that allows you to seamlessly embed the solvers into your own applications.

You can pick the best tool for the job based upon who will build the application, who will use it, and where the data reside. Technical support at LINDO is responsive and thorough – whether you have questions about the software or need some guidance on handling a particular application. Get started today. Visit our booth or to get more information and pick up full capacity evaluation licenses to try them out on your toughest models.

Data Analytics with MATLAB
Presented by: Mary Fenelon

Tuesday, October 24, 2017
Join us to see how MATLAB can help you explore data, develop predictive and prescriptive models, and integrate analytics into enterprise applications. We’ll illustrate this through a load forecasting and unit commitment demo on Big Data following this workflow. Merge historical demand and weather data into a time series. Explore machine learning models interactively to find the best model to predict demand. Prescribe how to satisfy demand by formulating and a solving mixed-integer linear program. Deploy an application to the web or enterprise systems to empower business analysts.

Optimization Direct Inc.
DSx and CPLEX: Overview of Datascience Experience for advanced modeling and optimization and latest developments/results in CPLEX and  ODh+CPLEX
Presented by: Alkis Vazacopoulos

Sunday, October 22, 2017
Organizations are increasingly hiring Data Scientists with Open Source skills. Leverage the capabilities of Data Science Experience DSx  to work with Open Source tools like R, Python, Spark, as well as integration with CPLEX and Weather Company data. Come learn how DSx 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).  Furthermore we will review the latest developments/results in CPLEX Optimization Studio and the new ODh+CPLEX.

Quantitative Risk Analysis in Excel with @RISK
Presented by: Rafael Hartke

Monday, October 23, 2017
This tutorial will guide you in the use of @RISK for analyzing historical data, and for making forecasts and better decisions in an uncertain business environment.

@RISK is part of Palisade’s DecisionTools Suite, and runs within the familiar MS Excel environment. It provides all the features you need to quantify and understand risks, along with graphical capabilities and reports to help you present the risk analysis results to a non-technical audience.

Princeton Consultants
Analytics Model Review and Validation
Presented By: Irv Lustig, PhD, Optimization Principal

Monday, October 23, 2017
Acting as an independent third party, Princeton Consultants reviews analytics models and how they are deployed in a business. Through our Advanced Analytics Model Review and Validation service, we ask questions such as: What is a correct model? What data is being integrated and how? How are solutions published and used in the business? How sensitive are the answers to the inputs? Did the implemented model reflect the intentions of the practitioner? In this tutorial, Irv Lustig will illustrate the importance of addressing these questions in the context of deploying advanced analytics models in practice.

Provalis Research

Tuesday, October 24, 2017

Operations Research and Management Sciences involves researching incident reports, corporate reports, news articles, press releases, social media and much more. The volume of available text 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.  Automated content analysis makes it possible to systematically import and analyze very large volumes of text documents without spending vast sums on hiring coders. This presentation will showcase the different content analysis approaches such as computer assisted qualitative coding; text mining; content analysis dictionaries or taxonomies and supervised machine learning. We will discuss when one technique may be more appropriate than another and how they can work together to analyze text data.

Responsive Learning Technologies
Online Games to Teach Operations and Supply Chain Management

Presented by: Sam Wood, President

Tuesday, October 24, 2017
Littlefield Technologies, the Supply Chain Game, and the Sourcing Game are online competitive assignments used to teach topics including process analysis, inventory control, supply chain management, and sourcing and purchasing. We will describe the games’ learning objectives, typical assignments, and actual game results.

Building and Solving Optimization Models with SAS
Ed Hughes, Principal Product Manager, Rob Pratt, Senior Manager, Advanced Analytics R&D

Tuesday, October 24, 2017
SAS provides a broad and deep array of data and analytic capabilities, including data integration, statistics, data and text mining, econometrics and forecasting, and operations research. The SAS optimization, simulation, and scheduling features coordinate easily and fully with other SAS strengths in data handling, analytics, and reporting. OPTMODEL from SAS provides a powerful and intuitive algebraic optimization modeling language and unified support for building and solving LP, MILP, QP, NLP, CLP, and network-oriented models. And because the OPTMODEL optimization modeling language is contained within the OPTMODEL procedure, a SAS software module, it integrates seamlessly with the entire family of SAS functions, procedures, and macros. We’ll demonstrate how you can use OPTMODEL to solve both basic and advanced problems, highlighting its newer capabilities and its support for both standard and customized solution strategies.

JMP, a Division of SAS
JMP Pro:  Top Features That Make You Say “Wow”!
Presented by: Mia Stephens, JMP Academic Ambassador

Tuesday, October 24, 2017
JMP is data visualization, analysis and modeling software from SAS for Mac or Windows. Come see the top 10 features in JMP Pro 13 that JMP users are raving about, including Text Explorer (for preparing and analyzing unstructured text data), the JMP Query Builder (for generating queries and writing SQL code directly in JMP), the Formula Depot (for comparing predictive models, scoring new data and generating C, Python, SAS, SQL and JavaScript code), dashboards, interactive web reports, and the latest visualization techniques in the drag-and-drop Graph Builder.

Presented By: Renee Thiesing, Simio LLC, Louisville, KY

Monday, October 23, 2017
Simio is a premier simulation and scheduling software that allows you to expand traditional benefits of simulation to improve daily operations. In this tutorial, we will demonstrate Simio’s 3D rapid modeling capability to effectively solve real problems. Explore how a single tool can be used to not only optimize your system design, but also provide effective planning and scheduling. Come explore the Simio difference and see why so many professional and novice simulationists are changing to Simio.

Syncopation Software
DPL Portfolio and DPMX™: A Decision Analysis based System for Better Portfolio Decisions
Presented by: Chris Dalton, CEO
6 State Street, Suite 308
Bangor, ME 04401
phone: 1 866 796 2375 (toll-free in US); +1 978 233 2509 (outside the US)

Tuesday, October 24, 2017
This demonstration will show how the DPMX™ System can improve portfolio decision quality by bringing better analytics and data management to your portfolio analysis process. We’ll start with an overview of DPL Professional, a widely used modelling environment for decision analysis, risk analysis and Monte Carlo simulation. Next, we’ll cover DPL Portfolio, the platform for portfolio analysis, visualization and prioritization. Finally we’ll show DPMX, a web-based based system for managing project data and presenting portfolio results in attractive, management-ready reports. The motivating examples will be drawn from the prioritization of an R&D portfolio.

Experience Visual Analytics with Tableau
Presented By: Ali Kherani

Sunday, October 22, 2017
Get ready to learn how to inform and inspire others when presenting data with Tableau’s business intelligence platform. Join us for this tutorial to discover how to turn data into actionable insights and find out why Forbes recently ranked Tableau as the technical skill with the third biggest rise in demand. We’ll provide an overview of Tableau and demo the key features and functionality of our visual analytics platform. This overview will excite you to explore your data in a different way!

Analytics and Data Science at Turner
Presented by: Helena Berube: ADDS Program Manager, Antonio Carbajal: Director, Operations Research, Andreea Popescu: Director, Data Science, Peter Williams: Director, Data Science

Tuesday, October 24, 2017
Analytics and Data Science plays a critical role at Turner. Our team is uniquely positioned to serve our clients with a focus on innovation, execution and nimble ability. Learn about some of the exciting work we’ve done that is transforming the media and content business.