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Exhibitor Workshops

11am-12:45pm

Quantum Computing for Optimization

Presented by: Catherine Potts

Quantum computing has gone from the lab to the enterprise, and a recent Hyperion Research study reported that respondents overwhelmingly indicated that quantum computing-based optimization capabilities are seen as integral to optimizing their key business processes. While you may think production use of quantum computers are years away, the first commercial quantum applications in production are using D-Wave’s quantum technology.
 
This workshop will cover the following topics:
 
  • An introduction to quantum computers, quantum annealing, and optimization solvers
  • What kinds of business problems are good candidates for quantum/ hybrid solutions
  • Use case examples: how quantum hybrid is being used for optimization applications such as resource and workforce scheduling, cargo loading and other complex business problems
  • How quantum systems are programmed, and the tools for developers. This will include live demos and an introduction to Leap, D-Wave’s real-time cloud service. Leap provides access to a portfolio of hybrid solvers, enabling enterprises to address all kinds of business problems that range in size and complexity.
  • How to get started with quantum for business.

11am-12:45pm

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TBD

Presented by: Adam Christensen

 

11am-12:45pm

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Demand and Last Mile Logistics Planning Using ORMAE’s tools

Presented by: Amit Garg

OptiFIT
Join us for an exclusive workshop showcasing OptiFIT, our advanced forecasting and demand planning platform. Discover how OptiFIT leverages cutting-edge machine learning algorithms to enhance accuracy, optimise inventory, and drive better business decisions.

We will walk you through the key capabilities:

  • Hierarchical Forecasting – Generate accurate forecasts at multiple levels of granularity.
  • Automatic Model Selection – Let OptiFIT choose the best-performing model for your data.
  • Ensemble Model Selection – Improve forecast reliability with a blend of multiple models.
  • Scalability & Automation – Handle complex forecasting needs with minimal manual intervention.

We will demonstrate OptiFIT’s core functionalities and dive into the technical details behind its powerful performance.

Don’t miss this opportunity to explore the future of demand planning!

RouteCap
RouteCap is a powerful engine for logistics optimization. The optimized plans generated adhere to time, zone, manpower and vehicle constraints as per your business operations requirement while balancing workload, minimizing the number of resources utilized and maximizing savings.

If you are an organization that needs to plan customer delivery or visits across a geography on a regular basis, RouteCap can help you. In this workshop, you will experience power of math modelling to generate optimal routes for your trucks to fulfil orders.

11am-12:45pm

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SAS Analytics and AI

Presented by: Rob Pratt and Yan Xu

SAS offers extensive analytic and AI capabilities, including machine learning, deep learning, natural language processing, statistical analysis, optimization, and simulation. SAS analytic and AI functionality is also available through the open, cloud-enabled design of SAS® Viya®. You can program in SAS or in other languages – Python, Lua, Java, and R. SAS Analytics is equipped with AI-enabled automations and modern low-code or no-code user interfaces that democratize data science usage in your organization and offer unparalleled speed to value.

We will first review the SAS analytics and AI portfolio, then highlight recently added optimization features (including automated Benders decomposition and support for Pyomo and PuLP), and finally explore several case studies in analytics and AI with a focus on optimization, deep learning and computer vision.

1-2:45pm

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The Seeker Optimization Solver

Presented by: Meinolf Sellmann

Learn how to create business-changing models using the revolutionary new solver Seeker! From lightning-fast discrete optimization, to non-hierarchical multi-objective, to non-convex, to stochastic and distributed optimization. You will learn hands-on how easy it is to create models that defy traditional solver technology with Seeker. Please bring your laptop!

1-2:45pm

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TBD

Presented by: TBD

1-2:45pm

Run, Test, Replay, Let It Flow: Applying DecisionOps or Better Decision Modeling, Explainability, Reproducibility, and Stakeholder Buy-In

Presented by: Nicole Misek

Why did the optimization model pick this solution vs. another? How does the decision model perform under this range of conditions? How do I compare my plan to what the model chose? What is the best way to reproduce past model runs? Questions such as these are inherent to the journey to build, deploy, and advocate for decision models.

This session will cover selected discussion points that arise throughout the decision model lifecycle that are often challenging to address using traditional approaches. With DecisionOps, we’ll explore how more efficient methods for running decision models on remote infrastructure, simulating “what if” scenarios, reproducing past runs with a streamlined “replay mode”, setting up decision pipelines to automate workflows, and drive cohesive collaboration to catalyze stakeholder buy-in.

Join us for this interactive session that will demonstrate these workflows, allow for hands-on experimentation, and Q&A. This session is relevant to anyone working with tools such as: OR-Tools, Pyomo, HiGHS, VROOM, Gurobi, AMPL, Hexaly, Jupyter Notebooks, Plotly, Statsmodels, Prophet, and more.

1-2:45pm

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Generative AI-Enhanced Mathematical Programming Workshop with FICO Xpress

Presented by: Alkis Vazacopoulos

This workshop introduces participants to the transformative potential of generative AI in mathematical programming using FICO Xpress. Through hands-on demonstrations and practical exercises, attendees will learn how to leverage generative AI to streamline model development, enhance code generation, and improve result interpretation. The workshop covers key aspects including automated model formulation, intelligent debugging assistance, and AI-powered console output analysis. Participants will gain practical experience in using generative AI to solve complex optimization problems more efficiently, interpret solver outputs more effectively, and generate comprehensive documentation. This workshop is designed for optimization practitioners, researchers, and developers who want to enhance their mathematical programming workflow with state-of-the-art AI capabilities.

1-2:45pm

Princeton Consultants web_ready_company_logo-2024

TBD

Presented by: TBD

3-4:45pm

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TBD

Presented by: Bob Fourer and Filipe Brandao

3-4:45pm

Turbocharge Your Optimization with the Latest Innovations in FICO® Xpress

Presented by: Dinakar Gade

Join our workshop to discover the latest innovations in Xpress Solver. Get a firsthand look at how Xpress Insight empowers business users to harness the full potential of analytical models faster than ever before. Learn about the Compute Interface, the technology that is that is designed to handle large optimization workloads. Our expert demonstrations will also show you how industry leaders are transforming their businesses using Enterprise Optimization capabilities from FICO Platform.

Experience the latest features and performance enhancements in FICO® Xpress Solver, including advances in mixed-integer linear and nonlinear optimization.

FICO® Xpress Insight is a rapid application development and deployment framework that integrates with Xpress Solver and your own analytics. We will show how you can rapidly convert Python models into complete business applications with Xpress Insight to make your analytical models available to thousands of business users. FICO® Xpress Compute Interface allows you to seamless offload and manage optimization models with a client-server architecture. Based on the same technology stack as Xpress Insight, the Compute Interface is ready to your handle your optimization workloads.

 

3-4:45pm

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What’s New in Gurobi 12.0: Defining, Solving, and Explaining Optimization Models and Solutions

Presented by: Alison Cozad and Xavier Nodet

This workshop will cover two key topics: the Gurobi 12.0 release and how to both build optimization models with AI and use Gurobi’s built-in tools to enhance solution explainability.

We’ll begin with a review of Gurobi 12.0, highlighting performance improvements and enhancements to the global MINLP solver, first introduced in version 11.0. A key advancement is support for compound multivariate nonlinear expressions, eliminating the need for auxiliary variables and constraints.

Next, we’ll focus on improving the entire process—from problem definition to solution explanation. We’ll start with Gurobi AI Modeling, a set of resources to help develop optimization problems and to learn modeling while navigating common pitfalls. But building a model is just the first step—understanding its solutions is just as important. We’ll explore Gurobi’s features through the lens of solution explainability, including Solution Pools, Multi-Scenario Analysis, and Infeasibility Analysis, and how they help users interpret and trust their solutions. By showing you how to use both AI-assisted modeling and tools for solution interpretability, we’ll demonstrate how to make optimization more accessible and actionable.

3-4:45pm

Hexaly, a New Kind of Global Optimization Solver

Presented by: Fred Gardi

Hexaly is a new type of global optimization solver. Its modeling interface is nonlinear and set-oriented. It also supports user-coded functions, enabling seamless integration of simulation with optimization or machine learning with optimization. The Hexaly API unifies modeling concepts from mixed-integer programming, nonlinear programming, and constraint programming. Under the hood, Hexaly combines various exact and heuristic optimization methods: spatial branch-and-bound, simplex methods, interior-point methods, propagation, automatic branch-cut-price, local search, and surrogate modeling.

Hexaly stands out from traditional solvers like Gurobi, CPLEX, and OR-Tools by delivering super-fast solutions to problems such as routing, sequencing, scheduling, packing, clustering, matching, assignment, and location. For example, Hexaly provides solutions close to the best-known results in the literature for vehicle routing problems with thousands of points and scheduling problems with millions of tasks, achieving this in just one minute of runtime on a basic computer.

In addition to the Optimizer, Hexaly offers an innovative platform called Hexaly Studio, designed to prototype, develop, and deploy optimization applications quickly in a low-code fashion. This web-based platform is also well-suited for educational purposes; like all other Hexaly products, it is free for faculty and students.

3-4:45pm

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TBD

Presented by: TBD