The objective of the course is to ground you in the fundamentals of factory dynamics, push and pull production systems, and lean principles. 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 Advanced Data Analytics.
How can managers of manufacturing systems and supply chains increase revenues, lower costs and reduce lead-times in the constantly evolving and competitive business environment? Factory Analytics explores the basic scientific principles that govern the behavioral tendencies of manufacturing plants and provides practical insights and tools to manage in-process inventory, capacity, lead-time and variability to achieve the highest return.
Through the understanding of the physics of factory operations, learn to calculate performance measures, assess best- and worst-case performances of a production line, conduct internal benchmarking, evaluate the effects of machine failure, set-ups, and other disruptions on system performance, manage variability effectively, and design efficient and cost-effective processes.
The format of this course includes lectures and problem-solving sessions. Excel based predictive and prescriptive analytics tools will be used for problem-solving. Basic probability and statistics experience is required.
This course is applicable to earning 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: Jan. 31, 2019
End Date: Feb. 01, 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. This course is applicable to the Certificate of Completion in Advanced Data Analytics.
Receive a 20 percent discount when you register for Decision Analytics, Factory Analytics, 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.