Supply Chain Analytics

MGMT-6350

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.

3 credits
Prereqs:
none

Past Term Data

Offered
Not Offered
Offered as Cross-Listing Only
No Term Data
Spring Summer Fall
(Session 1) (Session 2)
2023
Supply Chain Analytics (3c)
  • David Joseph Stec
Seats Taken: 0/20
2022
Supply Chain Analytics (3c)
  • David Joseph Stec
Seats Taken: 3/20
2021
Supply Chain Analytics (3c)
  • Timothy Robert Kachur
  • Clinton T. Ballinger
Seats Taken: 16/30
Supply Chain Analytics (3c)
  • David Joseph Stec
Seats Taken: 2/20
2020
Supply Chain Analytics (3c)
  • Walter Charles Yund
Seats Taken: 31/30
Supply Chain Analytics (3c)
  • David Joseph Stec
Seats Taken: 5/20
2019
Supply Chain Analytics (3c)
  • Walter Charles Yund
Seats Taken: 34/30
2018
Supply Chain Analytics (3c)
  • Walter Charles Yund
Seats Taken: 24/20
2017
Supply Chain Analytics (3c)
  • Walter Charles Yund
Seats Taken: 31/30
2016
2015
2014
2013
2012
2011
2010
International Business/ops (3c)
  • Roland Roy
Seats Taken: 5/100
2009
International Business (3c)
  • Roland Roy
Seats Taken: 13/100
2008
International Business (3c)
  • Richard Alben
  • Susan Sanderson
Seats Taken: 13/100
2007