{"id":211,"date":"2022-02-14T16:10:13","date_gmt":"2022-02-14T16:10:13","guid":{"rendered":"https:\/\/meetings.informs.org\/wordpress\/2022international\/?page_id=211"},"modified":"2022-05-06T15:23:53","modified_gmt":"2022-05-06T15:23:53","slug":"tutorials","status":"publish","type":"page","link":"https:\/\/meetings.informs.org\/wordpress\/2022international\/tutorials\/","title":{"rendered":"Tutorials"},"content":{"rendered":"\n
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Tutorials are designed to disseminate timely work by leading researchers and are highly valued by the attendees. They often include an in-depth, state-of-the-art lay-of-the-land of a field, given by an expert. Tutorials are a great resource for newcomers to a field but they also provide a comprehensive review for others who are familiar with the topic. This year, we have planned multiple tutorials on a broad spectrum of topics, ranging from fire management and inverse optimization to random graphs and artificial intelligence. We look forward to seeing several of you at these tutorials.<\/span><\/span><\/p> <\/div>\n<\/div>\n <\/div>\n <\/div>\n <\/div>\n

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The Continuous Approximation Paradigm in Logistics Systems Analysis<\/h2>\n

John Carlsson, <\/strong>University of Southern California<\/p>\n

The continuous approximation (CA) paradigm has been an effective tool for obtaining managerial insights in logistics problems since the seminal papers of Few and Beardwood, Halton, and Hammersley in the 1950s.\u00a0 The core concept in CA is that one replaces detailed data in a problem instance with concise algebraic expressions.\u00a0 This tutorial will provide an overview of recent advancements in this area, as well as promising future research directions.<\/p> <\/div>\n<\/div>\n\n

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