{"id":1467,"date":"2023-06-16T15:08:58","date_gmt":"2023-06-16T15:08:58","guid":{"rendered":"https:\/\/meetings.informs.org\/wordpress\/seattle2024\/?page_id=1467"},"modified":"2024-10-03T16:54:58","modified_gmt":"2024-10-03T16:54:58","slug":"exhibitor-workshops","status":"publish","type":"page","link":"https:\/\/meetings.informs.org\/wordpress\/seattle2024\/exhibitor-workshops\/","title":{"rendered":"Exhibitor Workshops"},"content":{"rendered":"\n
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Take advantage of these complimentary, pre-meeting Exhibitor Workshops for hands-on demonstrations of the latest industry products and software. All attendees are welcome to join onsite or pre-register. You’ll be able to add pre-meeting workshops to your registration in August. All Exhibitor Workshops will be held in the Seattle Convention Center Summit Building on Level 4 Saturday, October 19.<\/span><\/p> <\/div>\n<\/div>\n <\/div>\n <\/div>\n <\/div>\n

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10am-12:30pm
<\/strong>Location: SUMMIT-448<\/strong><\/p> <\/div>\n<\/div>\n <\/div>\n

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\n \"DWave-Dark\" \n <\/div>\n \n \n <\/div>\n\n
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Quantum Optimization<\/h3>\n

Presented by: Catherine Potts<\/strong><\/p>\n

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.<\/p>\n

While you may think production use of quantum computers are years away, the first commercial quantum applications in production are using D-Wave\u2019s quantum technology.<\/p>\n

This workshop will cover the following topics:<\/p>\n

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  • An introduction to quantum computers, quantum annealing, and optimization solvers<\/li>\n
  • What kinds of business problems are good candidates for quantum\/ hybrid solutions<\/li>\n
  • 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<\/li>\n
  • How quantum systems are programmed, and the tools for developers. This will include live demos and an introduction to Leap, D-Wave\u2019s 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.<\/li>\n
  • How to get started with quantum for business.<\/li>\n<\/ul> <\/div>\n<\/div>\n <\/div>\n <\/div>\n <\/div>\n
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    1-3:30pm
    <\/strong>Location: SUMMIT-445<\/strong><\/p> <\/div>\n<\/div>\n <\/div>\n

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    \n \"FICO \n <\/div>\n \n \n <\/div>\n\n
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    Elevate your Optimization Practice with latest Advances in FICO\u00ae Xpress Solver and Xpress Insight<\/h3>\n

    Presented by: Michael Perregaard, Leona Gottwald, Tristan Gally, Bruno Viera, Majid Bazrafshan, and Alexander Biele<\/strong><\/p>\n

    Join our workshop to discover the cutting-edge innovations in Xpress Solver 9.5 and our new object-oriented APIs! Get a firsthand look at how Xpress Insight empowers business users to harness the full potential of analytical models faster than ever before. Our expert demonstrations will also show you how industry leaders are transforming their businesses using Enterprise Optimization capabilities from FICO Platform.<\/p>\n

    Experience the latest features and performance enhancements in FICO\u00ae Xpress Solver, including groundbreaking advances in mixed-integer linear and nonlinear optimization. These include a new, first-order hybrid gradient algorithm for linear optimization problems, new heuristics, cutting and branching techniques. Furthermore, we discuss updates to Xpress Global to solve general mixed-integer nonlinear, and nonconvex problems to proven global optimality.<\/p>\n

    The new FICO Xpress Solver API leads to a dramatically reduced overall model building time and increased memory efficiency. It supports modern programming concepts such as Collections, Streams, Lambdas, and operator overloading. All in an interface that guarantees a consistent user experience across different programming languages.<\/p>\n

    The session will cover advancements in the Python API, outlining recent updates to modelling capabilities and discussing best practice for developing readable and yet efficient implementations of large-scale optimization models.\u00a0<\/p>\n

    FICO\u00ae 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.<\/p>\n

    And finally, we will conclude the session with a few customer success stories highlighting how they use Enterprise Optimization on FICO Platform to increase collaboration and reduce deployment time while discovering decision strategies that drive better outcomes.<\/p>\n

    The content is most relevant to\u00a0Associate (Early Career); Professional (Mid-Career); and Executive (Senior Level).<\/p> <\/div>\n<\/div>\n <\/div>\n <\/div>\n <\/div>\n

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    1-3:30pm
    <\/strong>Location: SUMMIT-447<\/strong><\/p> <\/div>\n<\/div>\n <\/div>\n

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    GAMSPy and Data APIs for Streamlining Optimization<\/b><\/h3>\n

    Presented by: Atharv Bhosekar<\/strong><\/b><\/p>\n

    GAMS (General Algebraic Modeling System) is an algebraic modeling language that provides users a way to write optimization models using intuitive algebraic syntax.\u00a0 However, as optimization becomes an integrated step within larger decision-making pipelines, modelers face two significant challenges: (1) the inconvenience of switching out of a preferred programming language (such as Python) solely for optimization purposes, and (2) the difficulty of efficiently transferring data between GAMS and other tools and platforms within a diverse software ecosystem. In this presentation, we will tackle these challenges using our latest solutions. First, we will present GAMSPy, our new product that brings algebraic modeling capabilities to Python. GAMSPy allows users to enjoy an intuitive algebraic syntax without compromising on the performance. We will also highlight our suite of data APIs to streamline data exchange with GAMS. In particular, we will focus on GAMS Transfer, a data API that enables users of R, MATLAB, and Python to efficiently read, modify, analyze, and write GAMS data. These tools significantly enhance the interoperability of GAMS within multi-platform decision pipelines, facilitating smoother and more efficient optimization workflows.<\/div>\n
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    This content is most relevant to Associate (Early Career), Professional (Mid-Career), and Executive (Senior Level).<\/div> <\/div>\n<\/div>\n <\/div>\n <\/div>\n <\/div>\n
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    1-3:30pm
    <\/strong>Location: SUMMIT-448<\/strong><\/p> <\/div>\n<\/div>\n <\/div>\n

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    \n \"hexaly-orange\" \n <\/div>\n \n \n <\/div>\n\n
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    Hexaly, a New Kind of Global Optimization Solver<\/h3>\n

    Presented by: Fred Gardi<\/strong><\/p>\n

    Hexaly is a new kind of global optimization solver. Its modeling interface is nonlinear and set-oriented. It also supports user-coded functions, thus enabling black-box optimization and, more particularly, simulation optimization. In a sense, Hexaly APIs unify modeling concepts from mixed-linear 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, augmented Lagrangian methods, automatic Dantzig-Wolfe reformulation, column and row generation, propagation methods, local search, direct search, population-based methods, and surrogate modeling techniques for black-box optimization.

    Regarding performance benchmarks, Hexaly distinguishes itself against the leading solvers in the market, like Gurobi, IBM Cplex, and Google OR Tools, by delivering fast and scalable solutions to problems in the space of Supply Chain and Workforce Management like Routing, Scheduling, Packing, Clustering, Matching, Assignment, and Location problems. For example, on notoriously hard problems like the Pickup and Delivery Problem with Time Windows or Flexible Job Shop Scheduling with Setup Times, Hexaly delivers solutions with a gap to the best solutions known in the literature smaller than 1% in a few minutes of running times on a basic computer.

    In addition to the Optimizer, we provide an innovative development platform called Hexaly Studio to model and solve rich Vehicle Routing and Job Shop Scheduling problems in a no-code fashion. The user can define its problem and data, run the Optimizer, visualize the solutions and key metrics through dashboards, and deploy the resulting app in the cloud \u2013 without coding. This web-based platform is particularly interesting for educational purposes; it is free for faculty and students.<\/p>\n

    The content is most relevant to: Associate (Early Career), Professional (Mid-Career), and Executive (Senior Level).<\/p> <\/div>\n<\/div>\n <\/div>\n <\/div>\n <\/div>\n

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    1-3:30pm
    <\/strong>Location: SUMMIT-446<\/strong><\/p> <\/div>\n<\/div>\n <\/div>\n

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    \n \"JMP \n <\/div>\n \n \n <\/div>\n\n
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    Analyzing Multidimensional Data and building Predictive Models in an Interactive No Code Environment<\/h3>\n

    Presented by: Kevin Potcner<\/strong><\/p>\n

    Fully analyzing data requires an analyst to generate a wide variety of visualizations, analyses, and models. The insights gleaned from each step leads the analyst to a next set of analyses to try, and so on. This exploratory approach can become very cumbersome in a coding environment. Without strong proficiency in programming, students often get frustrated finding themselves unable to run many different analyses and visualization quickly. In this presentation, a statistical scientist from JMP will illustrate how easy it can be to explore multi-dimensional data through interactive visualizations, analyses, and prediction models in a \u201cno code\u201d environment. The audience will see how this approach not only greatly expedites data analysis efforts, but provides students with a much richer and more engaging experience to learning analytics.<\/p>\n

    The content presented is most relevant to: Professional (Mid-Career); Associate (Early Career); and Executive (Senior Level).<\/p> <\/div>\n<\/div>\n <\/div>\n <\/div>\n <\/div>\n

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    1-3:30pm
    <\/strong>Location: SUMMIT-444<\/strong><\/p> <\/div>\n<\/div>\n <\/div>\n

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    Linking logistics models: Combining ML and OR through ensembling and horizontal computing<\/h3>\n

    Presented by: Carolyn Mooney<\/strong><\/p>\n

    Conceptually, the connection between machine learning (ML) and operations research (OR) is intuitive: order demand predictions feed into scheduling delivery operations, consumer buying behavior influences inventory management, and so on. But in practice, seamlessly blending the two disciplines can be more challenging than expected due to technical implementation and the ability to manage uncertainty.<\/p>\n

    This interactive session will explore foundational ML and OR logistics models (forecasting, scheduling, routing, etc.) alongside the tooling and techniques to link, solve, and orchestrate them for real-world, operational settings. We will demonstrate ways to manage uncertainty, employ ensembling to aggregate multiple forecasts, run multiple model scenarios, and derive consensus across model output to feed downstream applications.<\/p>\n

    Join us for an interactive session that will explore foundational logistics models, best practices for operations such as model testing and CI\/CD, and tooling such as OR-Tools, Pyomo, HiGHS, Gurobi, AMPL, Statsmodels, Prophet, and more.<\/p>\n

    This content is most relevant to Associate (Early Career); Professional (Mid-Career); and Executive (Senior Level).<\/p> <\/div>\n<\/div>\n <\/div>\n <\/div>\n <\/div>\n

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    4-6:30pm
    <\/strong>Location: SUMMIT-447<\/strong><\/p> <\/div>\n<\/div>\n <\/div>\n

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    \n \"ChiAha \n <\/div>\n \n \n <\/div>\n\n
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    Introducing ChiAha – the Smart Manufacturing Digital Twin Toolkit<\/strong><\/h3>\n

    Presented by: Andrew Siprelle<\/strong><\/p>\n

    ChiAha can predict production line performance and OEE within 1% accuracy. High-fidelity modeling constructs with statistically modeled data-driven behavior. Provide answers to many of the questions related to the design, operation and improvement of lines for optimum OEE.<\/p>\n

    This content is most relevant to Associate (Early Career); Professional (Mid-Career); and Executive (Senior Level).<\/p> <\/div>\n<\/div>\n <\/div>\n <\/div>\n <\/div>\n

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    4-6:30pm
    <\/strong>Location: SUMMIT-444<\/strong><\/p> <\/div>\n<\/div>\n <\/div>\n

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    \n \"Exhibitor \n <\/div>\n \n \n <\/div>\n\n
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    What’s New in Gurobi 12.0: Helping You to Build, Solve, and Deploy Optimization Models<\/h3>\n

    Presented by: Greg Glockner, Ed Klotz, Rodrigo Fuentes, Zed Dean, Maliheh Aramon, and Xavier Nodet<\/strong><\/p>\n

    Our pre-conference workshop will cover a wide range of updates and practical tips, including a preview of new features that will be available with Gurobi 12.0, an overview of our new massive open online course (MOOC), and an interactive panel on GenAI and Optimization.

    Gurobi 12.0 Overview: This talk will provide a preview of notable features in the upcoming Gurobi 12.0 release.\u202fBesides the usual performance comparisons against previous releases, we will consider advances in the global MINLP solver that was first introduced in the current version, 11.0.\u202fThese include direct support for compound multivariate nonlinear expressions that eliminate the need for users to create auxiliary variables and constraints.\u202fMajor advances in the efficiency of the Web License Server will also be discussed, as well as other features that improve the usability of the optimizer.

    A Groundbreaking MOOC: We\u2019ll also be presenting a short overview of \u201cIntroduction to Optimization Through the Lens of Data Science,\u201d a groundbreaking massive open online course (MOOC) developed by Gurobi in partnership with Dr. Joel Sokol, professor at Georgia Tech. This course provides a unique opportunity for anyone to enhance their skill sets and for educators to bring cutting-edge, practical knowledge into their classrooms.

    Interactive Panel \u2013 Generative AI and Optimization: The workshop will conclude with an interactive panel discussion featuring optimization experts from across industries, academia, and Gurobi as they discuss generative AI and optimization.

    Join us for this special pre-conference workshop. All attendees will receive a special Gurobi t-shirt.<\/p>\n

    The content presented is most relevant to: Associate (Early Career); Professional (Mid-Career); and Executive (Senior Level).<\/p>\n

    \u00a0<\/p> <\/div>\n<\/div>\n <\/div>\n <\/div>\n <\/div>\n

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    4-6:30pm
    <\/strong>Location: SUMMIT-448<\/strong><\/p> <\/div>\n<\/div>\n <\/div>\n

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    Littlefield 2.0: A New Version of the Online Game for Operations Management Courses<\/h3>\n

    Presented by: Samuel Wood<\/span><\/p>\n

    After 25 years there is a new version of Littlefield! Littlefield is a competitive online simulation of either a factory or a medical laboratory that has been by more than half a million students in 500+ universities in 60+ countries to excite and engage students in operations management topics like process analysis and inventory control. This presentation will introduce a newly updated version 2 of the game that was released this past summer. Participants are encouraged but not required to bring a laptop.<\/p>\n

    This content is most relevant to:\u00a0Executive (Senior Level); Professional (Mid-Career); and Associate (Early Career).<\/p> <\/div>\n<\/div>\n <\/div>\n <\/div>\n <\/div>\n

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    4-6:30pm
    <\/strong>Location: SUMMIT-446<\/strong><\/p> <\/div>\n<\/div>\n <\/div>\n

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    \n \"Exhibitor \n <\/div>\n \n \n <\/div>\n\n
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    SAS Analytics<\/h3>\n

    Presented by: Rob Pratt, Laci Ladanyi, Bochuan Lyu, and Yan Xu <\/strong><\/p>\n

    SAS offers extensive analytic capabilities, including machine learning, deep learning, natural language processing, statistical analysis, optimization, and simulation. SAS analytic functionality is also available through the open, cloud-enabled design of SAS\u00ae Viya\u00ae. You can program in SAS or in other languages \u2013 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.<\/p>\n


    <\/div>\n
    We will first review the SAS analytics portfolio, then highlight recently added optimization features (including automated Benders decomposition and support for Pyomo and PuLP), and finally explore several case studies in optimization.<\/div>\n


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    The content presented is most relevant to Associate (Early Career); Professional (Mid-Career); and Executive (Senior Level).<\/div>\n<\/div>\n<\/div>\n <\/div>\n<\/div>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n","protected":false},"excerpt":{"rendered":"

    Take advantage of these complimentary, pre-meeting Exhibitor Workshops for hands-on demonstrations of the latest industry products and software. All attendees are welcome to join onsite or pre-register. You’ll be able to add pre-meeting workshops to your registration in August. All Exhibitor Workshops will be held in the Seattle Convention Center Summit Building on Level 4 […]<\/p>\n","protected":false},"author":1001140,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"content-type":"","footnotes":""},"class_list":["post-1467","page","type-page","status-publish","hentry","has-post-title","has-post-date","has-post-category","has-post-tag","has-post-comment","has-post-author",""],"acf":[],"yoast_head":"\nExhibitor Workshops - 2024 INFORMS Annual Meeting<\/title>\n<meta name=\"description\" content=\"Take advantage of these pre-2023 INFORMS Annual Meeting exhibitor workshops for a demonstration of the latest industry products and software.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/meetings.informs.org\/wordpress\/seattle2024\/exhibitor-workshops\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Exhibitor Workshops\" \/>\n<meta property=\"og:description\" content=\"Take advantage of these pre-2023 INFORMS Annual Meeting exhibitor workshops for a demonstration of the latest industry products and software.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/meetings.informs.org\/wordpress\/seattle2024\/exhibitor-workshops\/\" \/>\n<meta property=\"og:site_name\" content=\"2024 INFORMS Annual Meeting\" \/>\n<meta property=\"article:modified_time\" content=\"2024-10-03T16:54:58+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/meetings.informs.org\/wordpress\/seattle2024\/files\/2023\/10\/twitter-img.jpg\" \/>\n\t<meta property=\"og:image:width\" content=\"1400\" \/>\n\t<meta property=\"og:image:height\" content=\"626\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/jpeg\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/meetings.informs.org\/wordpress\/seattle2024\/exhibitor-workshops\/\",\"url\":\"https:\/\/meetings.informs.org\/wordpress\/seattle2024\/exhibitor-workshops\/\",\"name\":\"Exhibitor Workshops - 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All attendees are welcome to join onsite or pre-register. You'll be able to add pre-meeting workshops to your registration in August. All Exhibitor Workshops will be held in the Seattle Convention Center Summit Building on Level 4 Saturday, October 19.<\/p>\n<p><strong>10am-12:30pm<br><\/strong><strong>Location: SUMMIT-448<\/strong><\/p>\n<img src=\"https:\/\/meetings.informs.org\/wordpress\/seattle2024\/files\/2024\/07\/DWave-Dark-1024x132-300x40.png\" width=\"300\" height=\"40\" title=\"DWave-Dark\" alt=\"DWave-Dark\" srcset=\"https:\/\/meetings.informs.org\/wordpress\/seattle2024\/files\/2024\/07\/DWave-Dark-1024x132-300x40.png 300w, https:\/\/meetings.informs.org\/wordpress\/seattle2024\/files\/2024\/07\/DWave-Dark-1024x132.png 1024w, https:\/\/meetings.informs.org\/wordpress\/seattle2024\/files\/2024\/07\/DWave-Dark-768x99.png 768w, https:\/\/meetings.informs.org\/wordpress\/seattle2024\/files\/2024\/07\/DWave-Dark.png 1319w\" sizes=\"(max-width: 300px) 100vw, 300px\" \/>\n<h3>Quantum Optimization<\/h3> <p><strong>Presented by: Catherine Potts<\/strong><\/p> <p>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.<\/p> <p>While you may think production use of quantum computers are years away, the first commercial quantum applications in production are using D-Wave\u2019s quantum technology.<\/p> <p>This workshop will cover the following topics:<\/p> <ul> <li>An introduction to quantum computers, quantum annealing, and optimization solvers<\/li> <li>What kinds of business problems are good candidates for quantum\/ hybrid solutions<\/li> <li>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<\/li> <li>How quantum systems are programmed, and the tools for developers. This will include live demos and an introduction to Leap, D-Wave\u2019s 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.<\/li> <li>How to get started with quantum for business.<\/li> <\/ul>\n<p><strong>1-3:30pm<br><\/strong><strong>Location: SUMMIT-445<\/strong><\/p>\n<img src=\"https:\/\/meetings.informs.org\/wordpress\/seattle2024\/files\/2024\/07\/FICO-Logo-300x79.png\" width=\"300\" height=\"79\" title=\"FICO Logo\" alt=\"FICO Logo\" srcset=\"https:\/\/meetings.informs.org\/wordpress\/seattle2024\/files\/2024\/07\/FICO-Logo-300x79.png 300w, https:\/\/meetings.informs.org\/wordpress\/seattle2024\/files\/2024\/07\/FICO-Logo.png 600w\" sizes=\"(max-width: 300px) 100vw, 300px\" \/>\n<h3>Elevate your Optimization Practice with latest Advances in FICO\u00ae Xpress Solver and Xpress Insight<\/h3> <p><strong>Presented by: Michael Perregaard, Leona Gottwald, Tristan Gally, Bruno Viera, Majid Bazrafshan, and Alexander Biele<\/strong><\/p> <p>Join our workshop to discover the cutting-edge innovations in Xpress Solver 9.5 and our new object-oriented APIs! Get a firsthand look at how Xpress Insight empowers business users to harness the full potential of analytical models faster than ever before. Our expert demonstrations will also show you how industry leaders are transforming their businesses using Enterprise Optimization capabilities from FICO Platform.<\/p> <p>Experience the latest features and performance enhancements in FICO\u00ae Xpress Solver, including groundbreaking advances in mixed-integer linear and nonlinear optimization. These include a new, first-order hybrid gradient algorithm for linear optimization problems, new heuristics, cutting and branching techniques. Furthermore, we discuss updates to Xpress Global to solve general mixed-integer nonlinear, and nonconvex problems to proven global optimality.<\/p> <p>The new FICO Xpress Solver API leads to a dramatically reduced overall model building time and increased memory efficiency. It supports modern programming concepts such as Collections, Streams, Lambdas, and operator overloading. All in an interface that guarantees a consistent user experience across different programming languages.<\/p> <p>The session will cover advancements in the Python API, outlining recent updates to modelling capabilities and discussing best practice for developing readable and yet efficient implementations of large-scale optimization models.\u00a0<\/p> <p>FICO\u00ae 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.<\/p> <p>And finally, we will conclude the session with a few customer success stories highlighting how they use Enterprise Optimization on FICO Platform to increase collaboration and reduce deployment time while discovering decision strategies that drive better outcomes.<\/p> <p>The content is most relevant to\u00a0Associate (Early Career); Professional (Mid-Career); and Executive (Senior Level).<\/p>\n<p><strong>1-3:30pm<br><\/strong><strong>Location: SUMMIT-447<\/strong><\/p>\n<img src=\"https:\/\/meetings.informs.org\/wordpress\/phoenix2023\/files\/2023\/06\/GAMS_with-slogan.png\" width=\"300\" height=\"120\" title=\"Exhibitor Workshops\" alt=\"Exhibitor Workshops\">\n<h3><b>GAMSPy and Data APIs for Streamlining Optimization<\/b><\/h3> <p><b><strong>Presented by: Atharv Bhosekar<\/strong><\/b><\/p> GAMS (General Algebraic Modeling System) is an algebraic modeling language that provides users a way to write optimization models using intuitive algebraic syntax.\u00a0 However, as optimization becomes an integrated step within larger decision-making pipelines, modelers face two significant challenges: (1) the inconvenience of switching out of a preferred programming language (such as Python) solely for optimization purposes, and (2) the difficulty of efficiently transferring data between GAMS and other tools and platforms within a diverse software ecosystem. In this presentation, we will tackle these challenges using our latest solutions. First, we will present GAMSPy, our new product that brings algebraic modeling capabilities to Python. GAMSPy allows users to enjoy an intuitive algebraic syntax without compromising on the performance. We will also highlight our suite of data APIs to streamline data exchange with GAMS. In particular, we will focus on GAMS Transfer, a data API that enables users of R, MATLAB, and Python to efficiently read, modify, analyze, and write GAMS data. These tools significantly enhance the interoperability of GAMS within multi-platform decision pipelines, facilitating smoother and more efficient optimization workflows. \u00a0 This content is most relevant to Associate (Early Career), Professional (Mid-Career), and Executive (Senior Level).\n<p><strong>1-3:30pm<br><\/strong><strong>Location: SUMMIT-448<\/strong><\/p>\n<img src=\"https:\/\/meetings.informs.org\/wordpress\/seattle2024\/files\/2024\/05\/hexaly-orange-300x99.png\" width=\"300\" height=\"99\" title=\"hexaly-orange\" alt=\"hexaly-orange\" srcset=\"https:\/\/meetings.informs.org\/wordpress\/seattle2024\/files\/2024\/05\/hexaly-orange-300x99.png 300w, https:\/\/meetings.informs.org\/wordpress\/seattle2024\/files\/2024\/05\/hexaly-orange-250x82.png 250w, https:\/\/meetings.informs.org\/wordpress\/seattle2024\/files\/2024\/05\/hexaly-orange.png 215w\" sizes=\"(max-width: 300px) 100vw, 300px\" \/>\n<h3>Hexaly, a New Kind of Global Optimization Solver<\/h3> <p><strong>Presented by: Fred Gardi<\/strong><\/p> <p>Hexaly is a new kind of global optimization solver. Its modeling interface is nonlinear and set-oriented. It also supports user-coded functions, thus enabling black-box optimization and, more particularly, simulation optimization. In a sense, Hexaly APIs unify modeling concepts from mixed-linear 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, augmented Lagrangian methods, automatic Dantzig-Wolfe reformulation, column and row generation, propagation methods, local search, direct search, population-based methods, and surrogate modeling techniques for black-box optimization. <br><br>Regarding performance benchmarks, Hexaly distinguishes itself against the leading solvers in the market, like Gurobi, IBM Cplex, and Google OR Tools, by delivering fast and scalable solutions to problems in the space of Supply Chain and Workforce Management like Routing, Scheduling, Packing, Clustering, Matching, Assignment, and Location problems. For example, on notoriously hard problems like the Pickup and Delivery Problem with Time Windows or Flexible Job Shop Scheduling with Setup Times, Hexaly delivers solutions with a gap to the best solutions known in the literature smaller than 1% in a few minutes of running times on a basic computer. <br><br>In addition to the Optimizer, we provide an innovative development platform called Hexaly Studio to model and solve rich Vehicle Routing and Job Shop Scheduling problems in a no-code fashion. The user can define its problem and data, run the Optimizer, visualize the solutions and key metrics through dashboards, and deploy the resulting app in the cloud \u2013 without coding. This web-based platform is particularly interesting for educational purposes; it is free for faculty and students.<\/p> <p>The content is most relevant to: Associate (Early Career), Professional (Mid-Career), and Executive (Senior Level).<\/p>\n<p><strong>1-3:30pm<br \/><\/strong><strong>Location: SUMMIT-446<\/strong><\/p>\n<img src=\"https:\/\/meetings.informs.org\/wordpress\/seattle2024\/files\/2024\/08\/JMP-web_ready_company_logo-300x82.png\" width=\"300\" height=\"82\" title=\"JMP web_ready_company_logo\" alt=\"JMP web_ready_company_logo\" srcset=\"https:\/\/meetings.informs.org\/wordpress\/seattle2024\/files\/2024\/08\/JMP-web_ready_company_logo-300x82.png 300w, https:\/\/meetings.informs.org\/wordpress\/seattle2024\/files\/2024\/08\/JMP-web_ready_company_logo.png 557w\" sizes=\"(max-width: 300px) 100vw, 300px\" \/>\n<h3>Analyzing Multidimensional Data and building Predictive Models in an Interactive No Code Environment<\/h3> <p><strong>Presented by: Kevin Potcner<\/strong><\/p> <p>Fully analyzing data requires an analyst to generate a wide variety of visualizations, analyses, and models. The insights gleaned from each step leads the analyst to a next set of analyses to try, and so on. This exploratory approach can become very cumbersome in a coding environment. Without strong proficiency in programming, students often get frustrated finding themselves unable to run many different analyses and visualization quickly. In this presentation, a statistical scientist from JMP will illustrate how easy it can be to explore multi-dimensional data through interactive visualizations, analyses, and prediction models in a \u201cno code\u201d environment. The audience will see how this approach not only greatly expedites data analysis efforts, but provides students with a much richer and more engaging experience to learning analytics.<\/p> <p>The content presented is most relevant to: Professional (Mid-Career); Associate (Early Career); and Executive (Senior Level).<\/p>\n<p><strong>1-3:30pm<br \/><\/strong><strong>Location: SUMMIT-444<\/strong><\/p>\n<img src=\"https:\/\/meetings.informs.org\/wordpress\/phoenix2023\/files\/2023\/07\/web_ready_company_logo-nextmv-logo-horizontal-color.png\" width=\"300\" height=\"75\" title=\"Exhibitor Workshops\" alt=\"Exhibitor Workshops\">\n<h3>Linking logistics models: Combining ML and OR through ensembling and horizontal computing<\/h3> <p><strong>Presented by: Carolyn Mooney<\/strong><\/p> <p>Conceptually, the connection between machine learning (ML) and operations research (OR) is intuitive: order demand predictions feed into scheduling delivery operations, consumer buying behavior influences inventory management, and so on. But in practice, seamlessly blending the two disciplines can be more challenging than expected due to technical implementation and the ability to manage uncertainty.<\/p> <p>This interactive session will explore foundational ML and OR logistics models (forecasting, scheduling, routing, etc.) alongside the tooling and techniques to link, solve, and orchestrate them for real-world, operational settings. We will demonstrate ways to manage uncertainty, employ ensembling to aggregate multiple forecasts, run multiple model scenarios, and derive consensus across model output to feed downstream applications.<\/p> <p>Join us for an interactive session that will explore foundational logistics models, best practices for operations such as model testing and CI\/CD, and tooling such as OR-Tools, Pyomo, HiGHS, Gurobi, AMPL, Statsmodels, Prophet, and more.<\/p> <p>This content is most relevant to Associate (Early Career); Professional (Mid-Career); and Executive (Senior Level).<\/p>\n<p><strong>4-6:30pm<br><\/strong><strong>Location: SUMMIT-447<\/strong><\/p>\n<img src=\"https:\/\/meetings.informs.org\/wordpress\/seattle2024\/files\/2024\/07\/ChiAha-web_ready_company_logo-Horizontal-300x148.jpg\" width=\"300\" height=\"148\" title=\"ChiAha web_ready_company_logo-Horizontal\" alt=\"ChiAha web_ready_company_logo-Horizontal\" srcset=\"https:\/\/meetings.informs.org\/wordpress\/seattle2024\/files\/2024\/07\/ChiAha-web_ready_company_logo-Horizontal-300x148.jpg 300w, https:\/\/meetings.informs.org\/wordpress\/seattle2024\/files\/2024\/07\/ChiAha-web_ready_company_logo-Horizontal-768x379.jpg 768w, https:\/\/meetings.informs.org\/wordpress\/seattle2024\/files\/2024\/07\/ChiAha-web_ready_company_logo-Horizontal-250x123.jpg 250w, https:\/\/meetings.informs.org\/wordpress\/seattle2024\/files\/2024\/07\/ChiAha-web_ready_company_logo-Horizontal.jpg 792w\" sizes=\"(max-width: 300px) 100vw, 300px\" \/>\n<h3><strong>Introducing ChiAha - the Smart Manufacturing Digital Twin Toolkit<\/strong><\/h3> <p><strong>Presented by: Andrew Siprelle<\/strong><\/p> <p>ChiAha can predict production line performance and OEE within 1% accuracy. High-fidelity modeling constructs with statistically modeled data-driven behavior. Provide answers to many of the questions related to the design, operation and improvement of lines for optimum OEE.<\/p> <p>This content is most relevant to Associate (Early Career); Professional (Mid-Career); and Executive (Senior Level).<\/p>\n<p><strong>4-6:30pm<br \/><\/strong><strong>Location: SUMMIT-444<\/strong><\/p>\n<img src=\"https:\/\/meetings.informs.org\/wordpress\/phoenix2023\/files\/2023\/07\/Gurobi-Logo2.png\" width=\"300\" height=\"79\" title=\"Exhibitor Workshops\" alt=\"Exhibitor Workshops\">\n<h3>What's New in Gurobi 12.0: Helping You to Build, Solve, and Deploy Optimization Models<\/h3> <p><strong>Presented by: Greg Glockner, Ed Klotz, Rodrigo Fuentes, Zed Dean, Maliheh Aramon, and Xavier Nodet<\/strong><\/p> <p>Our pre-conference workshop will cover a wide range of updates and practical tips, including a preview of new features that will be available with Gurobi 12.0, an overview of our new massive open online course (MOOC), and an interactive panel on GenAI and Optimization.<br><br>Gurobi 12.0 Overview: This talk will provide a preview of notable features in the upcoming Gurobi 12.0 release.\u202fBesides the usual performance comparisons against previous releases, we will consider advances in the global MINLP solver that was first introduced in the current version, 11.0.\u202fThese include direct support for compound multivariate nonlinear expressions that eliminate the need for users to create auxiliary variables and constraints.\u202fMajor advances in the efficiency of the Web License Server will also be discussed, as well as other features that improve the usability of the optimizer.<br><br>A Groundbreaking MOOC: We\u2019ll also be presenting a short overview of \u201cIntroduction to Optimization Through the Lens of Data Science,\u201d a groundbreaking massive open online course (MOOC) developed by Gurobi in partnership with Dr. Joel Sokol, professor at Georgia Tech. This course provides a unique opportunity for anyone to enhance their skill sets and for educators to bring cutting-edge, practical knowledge into their classrooms.<br><br>Interactive Panel \u2013 Generative AI and Optimization: The workshop will conclude with an interactive panel discussion featuring optimization experts from across industries, academia, and Gurobi as they discuss generative AI and optimization.<br><br>Join us for this special pre-conference workshop. All attendees will receive a special Gurobi t-shirt.<\/p> <p>The content presented is most relevant to: Associate (Early Career); Professional (Mid-Career); and Executive (Senior Level).<\/p> <p>\u00a0<\/p>\n<p><strong>4-6:30pm<br><\/strong><strong>Location: SUMMIT-448<\/strong><\/p>\n<img src=\"https:\/\/meetings.informs.org\/wordpress\/phoenix2023\/files\/2023\/06\/exhibitor-logo-responsive-learning-technologies.png\" width=\"299\" height=\"105\" title=\"Exhibitor Workshops\" alt=\"Exhibitor Workshops\">\n<h3>Littlefield 2.0: A New Version of the Online Game for Operations Management Courses<\/h3> <p>Presented by: Samuel Wood<\/p> <p>After 25 years there is a new version of Littlefield! Littlefield is a competitive online simulation of either a factory or a medical laboratory that has been by more than half a million students in 500+ universities in 60+ countries to excite and engage students in operations management topics like process analysis and inventory control. This presentation will introduce a newly updated version 2 of the game that was released this past summer. Participants are encouraged but not required to bring a laptop.<\/p> <p>This content is most relevant to:\u00a0Executive (Senior Level); Professional (Mid-Career); and Associate (Early Career).<\/p>\n<p><strong>4-6:30pm<br \/><\/strong><strong>Location: SUMMIT-446<\/strong><\/p>\n<img src=\"https:\/\/meetings.informs.org\/wordpress\/phoenix2023\/files\/2023\/07\/sas-logo-midnight.png\" width=\"250\" height=\"101\" title=\"Exhibitor Workshops\" alt=\"Exhibitor Workshops\">\n<h3>SAS Analytics<\/h3> <p><strong>Presented by: Rob Pratt, Laci Ladanyi, Bochuan Lyu, and Yan Xu <\/strong><\/p> <p>SAS offers extensive analytic capabilities, including machine learning, deep learning, natural language processing, statistical analysis, optimization, and simulation. SAS analytic functionality is also available through the open, cloud-enabled design of SAS\u00ae Viya\u00ae. You can program in SAS or in other languages \u2013 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.<\/p> <br> We will first review the SAS analytics portfolio, then highlight recently added optimization features (including automated Benders decomposition and support for Pyomo and PuLP), and finally explore several case studies in optimization. <p><br><\/p>\nThe content presented is most relevant to Associate (Early Career); Professional (Mid-Career); and Executive (Senior Level).","_links":{"self":[{"href":"https:\/\/meetings.informs.org\/wordpress\/seattle2024\/wp-json\/wp\/v2\/pages\/1467","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/meetings.informs.org\/wordpress\/seattle2024\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/meetings.informs.org\/wordpress\/seattle2024\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/meetings.informs.org\/wordpress\/seattle2024\/wp-json\/wp\/v2\/users\/1001140"}],"replies":[{"embeddable":true,"href":"https:\/\/meetings.informs.org\/wordpress\/seattle2024\/wp-json\/wp\/v2\/comments?post=1467"}],"version-history":[{"count":317,"href":"https:\/\/meetings.informs.org\/wordpress\/seattle2024\/wp-json\/wp\/v2\/pages\/1467\/revisions"}],"predecessor-version":[{"id":6209,"href":"https:\/\/meetings.informs.org\/wordpress\/seattle2024\/wp-json\/wp\/v2\/pages\/1467\/revisions\/6209"}],"wp:attachment":[{"href":"https:\/\/meetings.informs.org\/wordpress\/seattle2024\/wp-json\/wp\/v2\/media?parent=1467"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}