# 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. We will also look at qualitative problems through the examination and discussions of cases in class. Not everything can be distilled to a number and so we need to be able to take a holistic view of business problems and make more strategic recommendations. We will then have teams of students solve and present these case results.

4 credits
Cross-listed with:
MGMT-6350 Supply Chain Analytics
Prereqs:
one of:
MGMT-4100 Quantitative Methods for Business MGMT-4110 Operations Management

# Past Term Data
Offered
Not Offered
Offered as Cross-Listing Only
No Term Data
Simple View
Detailed View

| Spring | Summer | Fall
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| (Session 1) | (Session 2) |
2023 |  |  |
2022 |  |  |
2021 | Supply Chain Analytics (4c) Timothy Robert Kachur Clinton T. Ballinger Seats Taken: 1/10 |  |
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