MATH 209: Operations Research II: Stochastic Models and Queueing

Note: If this course is being taught this semester, more information can be found at the course home page.

Cross Listed

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Prerequisites

MTH 208 and MTH 201. MTH 202 is helpful but not necessary.

Description

Have you ever wondered how large companies are able to send such a vast array of products to your doorstep in a day or two, at negligible cost to the consumer? In this course you will learn how. This course covers stochastic models, queueing theory, and decision making in the presence of uncertainty. Applications, such as supply-chain modeling, vaccine distribution, and the newsvendor problem are explored extensively.

Topics covered

Newsvendor problem, Little’s law, queueing theory, Markov decision processes, supply-chain modeling and pooling, multi-echelon systems, effects of uncertainty and the bullwhip effect.

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