Sequential Decision Analytics for Supply Chain Management

This talk was given January 7, 2022 for the Supply Chain Management Distinguished Speaker Series at Wilfred Laurier University in Canada. It provides an introduction to the general problem of sequential decisions, using the context of supply chain management to illustrate the ideas. Viewers are introduced to the universal modeling framework which poses the problem of finding the best "policy" for making decisions in a sequential setting. I present all four classes of policies, and then extend the framework to multiagent problems which arise in supply chain management. I then tackle the problem of ordering inventory in a realistic setting of long lead times with random events such as storms and the ability to adapt to events by using rush orders or switching modes. I close with a pitch that universities should offer an academic program in sequential decision analytics (see http://tinyurl.com/sdafield).
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