Case Article—Blending Statistics, Optimization, and Simulation in a Multiphase Case

Michael Francis Gorman ()
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Michael Francis Gorman: Department of Management Information Systems, Operations and Analytics, University of Dayton School of Business, Dayton, Ohio 45419

INFORMS Transactions on Education, 2023, vol. 23, issue 3, 173-176

Abstract: This case integrates three different methodologies over a four-part sequence on a problem that mirrors a real-world, published project. Students apply statistics, integer optimization, and simulation analysis toward solving the job assignment problem. The case features four parts: (1) operating cost and runtime estimation via regression, (2) mixed integer optimization analysis of a baseline and two scenarios, (3) simulation of the recommended solution under uncertainty, and (4) reoptimization under uncertainty. The case has been implemented over a one- to four-week period with upper level MBA or masters in analytics students. The case has received very positive feedback.

Keywords: cases; teaching optimization; teaching statistics; interdisciplinary teaching (search for similar items in EconPapers)
Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:inm:orited:v:23:y:2023:i:3:p:173-176

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