ORIE 5120

Inventory, Operations, and Supply Chain Management: Models and Optimization

Course Description

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 background equivalent to: ORIE 3300 or ORIE 5300; ORIE 3500 or ORIE 5500.

Enrollment Information Enrollment limited to: graduate students.

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.

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