ORIE 5120

ORIE 5120

Course information provided by the 2026-2027 Catalog.

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.


Prerequisites Coursework at the level of ORIE 3300/5300 and ORIE 3500/5500.

Last 4 Terms Offered (None)

Learning Outcomes

  • Understand fundamental inventory and supply chain models.
  • Analyze operational decision problems using tools from stochastic modeling, optimization, and dynamic programming.
  • Apply these tools to real-world problems and extract actionable insights from analytic solutions.

View Enrollment Information

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

  • 3 Credits Stdnt Opt

  • 11092 ORIE 5120   LEC 001

    • TR
    • Aug 24 - Dec 7, 2026
    • Xin, L

  • Instruction Mode: In Person

    Enrollment limited to: graduate students.