Inventory Management

Explore the fundamentals of inventory management, as well as the state-of-the-art models used in industry. 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. 

Master your inventory with this fluid course on inventory optimization using Excel-based (statistical) tools. Topics in this course include the economic order quantity model, dynamic lot sizing, statistical inventory models, bullwhip effect, and inventory positioning and logistics coordination in supply chains. In addition, using the tools discussed in this course, you are able to perform cycle stock, safety stock, and service level calculations, and account for uncertain demands and backlogging. The format of this course includes lectures and problem-solving sessions. Basic probability and statistics 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.

Details

Section Instructor Format Schedule start date
PADA1005.S19.1 Andrew Schaefer, Eylem Tekin, Ilya V. Hicks On-campus, Online 9 a.m.-4 p.m. Thursday, April 25, 2019

Instructor: Andrew Schaefer

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: Apr. 25, 2019

End Date: Apr. 26, 2019

Schedule: 9 a.m.-4 p.m.

Length: Thursday and Friday

Location: Rice campus

Fee: $1,100

Early Registration: $1,000 if registering before Oct. 18

Rice Alumni: $990

CEUs: 1.2

Note: Basic Microsoft Excel capabilities are required for this offering.

  • Professionals or managers in manufacturing or operations based businesses
  • Professionals or managers in high volume healthcare systems
  • Professionals or managers in refineries or chemical processing plants
  • Professionals or managers in oilfield services
  • Professionals or managers in logistics, supply chain or scheduling

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.

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Advanced Data Analytics Certificate 

Receive a 20 percent discount when you register for Decision Analytics, Factory Analytics, Prescriptive Analytics, Supply Chain Analytics and Inventory Management.

LEARN MORE

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.

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