{"id":1125,"date":"2021-07-21T19:47:14","date_gmt":"2021-07-21T19:47:14","guid":{"rendered":"https:\/\/meetings.informs.org\/wordpress\/anaheim2021\/?page_id=1125"},"modified":"2021-10-24T15:12:23","modified_gmt":"2021-10-24T15:12:23","slug":"technology-showcase","status":"publish","type":"page","link":"https:\/\/meetings.informs.org\/wordpress\/anaheim2021\/technology-showcase\/","title":{"rendered":"Technology Showcase"},"content":{"rendered":"\n
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Access these sessions live or on demand through the virtual platform under the sessions tab.<\/strong><\/p>\n

Take advantage of these showcases for a hands on demonstration of the latest in the industry. All attendees are welcome to join during the scheduled time or on demand following the conference. Descriptions Below<\/b><\/p> <\/div>\n<\/div>\n <\/div>\n

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\n \"Optimization \n <\/div>\n \n \n <\/div>\n\n
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Optimization Direct<\/h3>\n

ODH|CPLEX – An Optimizer For Hard MIPs &  A case study on solving Hard Redistricting problems<\/strong><\/p>\n

Date & Time: Sunday, October 24, 7-7:30am PDT<\/p>\n

Mixed Integer Programming Models (MIPs) commonly solved are becoming larger and more complex in response to much more readily available data and cheaper computer resources. ODH|CPLEX handles large models by co-running a set of heuristics within a traditional branch-and-cut optimizer so as to find good, usable solutions to problems that would otherwise be intractable. We outline the structural decomposition technology used and demonstrate its effectiveness on many user instances as well as its ability to find solutions to standard test models to which no solution has been previously known. We also present results from solving complex State Redistricting problems. <\/p> <\/div>\n<\/div>\n <\/div>\n <\/div>\n <\/div>\n

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\n \"Rockwell \n <\/div>\n \n \n <\/div>\n\n
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Rockwell Automation<\/h3>\n

Using Arena Simulation to Have Confidence in your Business Decisions<\/strong><\/p>\n

Presented by: Nancy Zupick, Manager Simulation, Consulting at Rockwell Automation
Date & Time: Sunday, October 24, 8-8:30am <\/span>PDT<\/span><\/p>\n

The session will begin with what you need to know before starting a simulation project and some advice on how to keep your project on track and focused on your objectives. <\/p>\n

This presentation will include how Arena simulation is applied within business settings to assist in making decisions about labor management, process changes, capital improvements and various other situations that require a more thorough analysis before committing time and money to an effort.<\/p> <\/div>\n<\/div>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n

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MyEducator<\/h3>\n

This IS IT! Interactive Smart Textbooks for the Modern Program! <\/h5>\n

Presented by: Jaret Wilson, Scotty Pectol
Date & Time: Sunday, October 24, 9-9:30am <\/span>PDT<\/span><\/p>\n

This is modern higher education! An affordable alternative to OER with up-to-date content from world-class author teams. Created by professors for professors, MyEducator smart interactive textbooks and learning resources are ideal for any classroom setting and work within live technology environments so your students don’t just learn, they do! Our approach enhances student engagement, improves learning outcomes, instructors receive better teaching evaluations, and students have more fun in the classroom. <\/p>\n

During this 30 minute presentation we’ll share how each smart learning resource, hosted on our intuitive platform, is filled with auto-graded assessments, ample instructor material, and robust analytics all with a seamless single sign-on LMS integration. Additionally, all our learning resources provide students an affordable price with lifetime access and best-in-class service. <\/p>\n

Full access will be given to any<\/em> book on our platform to attendees. <\/p> <\/div>\n<\/div>\n <\/div>\n <\/div>\n <\/div>\n

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

Medical Resource Optimization with SAS<\/h5>\n

Presented by: <\/span>Natalia Summerville, Senior Manager, Advanced Analytics R&D, SAS, Subramanian Pazhani, Senior Operations Research Specialist, SAS
Date & Time:<\/span> <\/span>Monday, October 25, 6-6:30am<\/span> <\/span>PDT<\/span><\/p>\n

This technology showcase demonstrates a new medical resource optimization solution. SAS and Cleveland Clinic have collaborated to develop this solution to help medical organizations effectively manage their resources during the COVID-19 pandemic. After pausing non-emergency visits and elective procedures during the pandemic\u2019s initial peak, Cleveland Clinic needed to decide how best to reopen their facilities and services. This solution generates a reopening plan that balances hospital economics, efficient use of resources, and patient access to quality clinical care across multiple locations and numerous medical services. The plan also accounts for the constraints imposed by ongoing COVID-19 testing requirements and test availability.<\/p> <\/div>\n<\/div>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n

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DecisionBrain<\/h3>\n

Take your Optimization Model (CPLEX or others) to the Cloud with DBOS!<\/h5>\n

Presented by: Michel Eisenmann
Date & Time:<\/span> <\/span>Monday, October 25, 7-7:30am <\/span>PDT<\/span><\/p>\n

DecisionBrain Optimization Server (DBOS) is specifically designed to help build and deploy fully scalable optimization-based applications. It enables optimization developers to focus on their models and help them effortlessly deploy those models in production in a context that will support multiple parallel runs on dedicated resources.

To achieve this, DBOS lets you encapsulate any computational module (optimization solvers, analytics modules, etc.) into so-called \u201cWorkers\u201d. Workers can be deployed on dedicated resources (local, private, or public cloud) to ensure the best execution time. When deployed on Kubernetes, Workers may be activated on-demand to reduce cloud costs.

DBOS can be used in a stand-alone mode to run computations (for development purposes for example). It can also be integrated with existing applications to let them provide scalable and on-demand optimization capabilities as well as powerful monitoring capabilities.
 
In this presentation, we will demonstrate how this technology can be used to:<\/p>\n