Supply Chain Analytics

MGMT-4175

This is a hands-on course where we will learn a mix of theoretical and practical tools. Using these tools, we will solve a variety of supply chain problems, both analytically and numerically. We will examine data and use this to understand supply, demand, and inventory levels using R to model many of these problems. We will also look at the data and assess its suitability for modelling. We plan on using time series, Markov chain, optimal control, linear programming, statistical analysis, and other mathematical tools to have the data tell us its secrets. The bottom line is we will use these insights to make recommendations to firms and other decision makers.

4 credits

Past Term Data

Offered
Not Offered
Offered as Cross-Listing Only
No Term Data
Spring Summer Fall
(Session 1) (Session 2)
2024
2023
2022
2021
Supply Chain Analytics (4c)
  • Timothy Robert Kachur
  • Clinton T. Ballinger
Seats Taken: 1/10
2020
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