SYSEN 4200

SYSEN 4200

Course information provided by the Courses of Study 2018-2019.

This course will provide a rigorous coverage of the (stochastic and deterministic) models commonly used in the study of inventory, operations, and supply chain management. This includes the multi-period newsvendor model and its many variants, as well as more sophisticated models which arise in supply chain management, logistics, and the study of operations more broadly. We will study tools for analyzing and optimizing such systems, as well as operational insights which can be extracted from such models. The course will in general have a fairly mathematical orientation, focusing on using tools from stochastic modeling, optimization, and dynamic programming/algorithms to formulate and analyze these models.

When Offered Fall.

Prerequisites/Corequisites Prerequisite: introductory courses in probability and optimization (including linear programming and dynamic programming.) An introductory course in algorithms is helpful, but not strictly necessary.

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Enrollment Information
Syllabi: none
  •   Regular Academic Session.  Combined with: ORIE 4120

  • 2 Credits Stdnt Opt

  • 17646SYSEN 4200  LEC 001

  • Open to on campus and distance learning Systems Engineering students.