This course introduces the fundamental models and tools within optimization that are useful in designing and managing supply chains. Offered in collaboration with Rice’s George R. Brown School of Engineering, this two-day course, which offers participants the opportunity to attend in person or online, is applicable to the Certificate of Completion in Supply Chain Analytics or the Certificate of Completion in Advanced Data Analytics.
Supply chains are complex systems involving multiple organizations with different goals and objectives. Many different analytical approaches are used in practice to better design and manage these supply chain ecosystems. In this course, focus on the application rather than the theoretical aspects. Emphasis will be on a variety of fundamental supply chain applications such as transportation, capacity allocation, production planning, network flow, vehicle routing, aggregate planning, sales and operations planning, and network design. Using Excel, gain hands-on experience in creating and solving optimal distribution, planning and logistics problems. The format of this course includes lectures and problem-solving sessions. Basic linear and integer programming experience is required.
This course is applicable to the Certificate of Completion in Supply Chain Analytics or the Certificate of Completion in Advanced Data Analytics. Details can be found in the certificates tab below.
Andrew Schaefer, Ph.D., is the Noah Harding Chair and a professor of computational and applied mathematics at Rice University. His research interests are stochastic optimization and its applications. He received his Ph.D. in industrial and systems engineering from Georgia Tech. He has previously taught at Georgia Tech, the University of Pittsburgh and London Business School.
Eylem Tekin, Ph.D., is a lecturer in industrial engineering at Rice University. Her research interests are in supply chain management. She received her Ph.D. in industrial engineering and management science from Northwestern University. She has taught at the University of North Carolina-Chapel Hill, Texas A&M and the University of Houston.
Ilya V. Hicks, Ph.D., is a professor of computational and applied mathematics (CAAM) at Rice University. His expertise areas are in optimization with applications in network design, social networks, and cancer treatment. He received his Ph.D. in CAAM from Rice University. He has previously taught at University of Houston and Texas A&M University.
Term: Spring/Summer 2019
Start Date: March 28, 2019
End Date: March 29, 2019
Schedule: 9 a.m.-4 p.m.
Length: Thursday and Friday
Location: Rice campus
Early Registration: $1,000 if registering before Oct. 18
Rice Alumni: $990
Note: Basic Microsoft Excel capabilities are required for this offering.
Through a collaboration with Rice’s George R. Brown School of Engineering, the Glasscock School of Continuing Studies offers two unique certificate programs in the field of advanced data analytics. Courses can be taken individually to supplement existing skills or in combination to earn two certificate options - the Certificate of Completion in Supply Chain Analytics or the Certificate of Completion in Advanced Data Analytics.
Supply Chain Analytics Certificate
Receive a 15 percent discount when you register for Prescriptive Analytics, Supply Chain Analytics and Inventory Management.
This course is offered through the Glasscock School’s Zoom-powered classroom, which gives students the opportunity to attend in person at the Rice campus or to attend and participate online. From class to class, students can choose how they wish to participate.