This is a hands on course where students learn a mix of theoretical and practical tools and use them to solve a variety of supply chain problems, both analytically and numerically. Time series, Markov chain, optimal control, linear programming, statistical analysis, and other mathematical tools are used to examine data to understand supply, demand, and inventory levels and develop insights for managerial recommendations.
Spring | Summer | Fall | ||
---|---|---|---|---|
(Session 1) | (Session 2) | |||
2023 |
Supply Chain Analytics (3c)
|
|||
2022 |
Supply Chain Analytics (3c)
|
|||
2021 |
Supply Chain Analytics (3c)
|
Supply Chain Analytics (3c)
|
||
2020 |
Supply Chain Analytics (3c)
|
Supply Chain Analytics (3c)
|
||
2019 |
Supply Chain Analytics (3c)
|
|||
2018 |
Supply Chain Analytics (3c)
|
|||
2017 |
Supply Chain Analytics (3c)
|
|||
2016 | ||||
2015 | ||||
2014 | ||||
2013 | ||||
2012 | ||||
2011 | ||||
2010 |
International Business/ops (3c)
|
|||
2009 |
International Business (3c)
|
|||
2008 |
International Business (3c)
|
|||
2007 |