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Activity Details

CE_21C Tue, 8/5/2014, 8:30 AM - 5:00 PM CC-160C
Modern Design of Factorial Experiments — Professional Development Continuing Education Course
ASA , Section on Physical and Engineering Sciences
Design of experiments is a key tool for product and process improvement and innovation. However, experimenters often have to deal with a mismatch between standard experimental designs, such as factorial and fractional factorial designs, central composite designs, and the features of their problems. This course motivates the standard and routine use of a fully flexible approach to design of experiments, named optimal design of experiments, by showing its industrial application in ten case studies covering a wide range of practical situations. Optimal design of experiments has long been a topic considered to be only of theoretical interest. However, the increasing computing power and the availability of user-friendly software for the tailor-made desig of experiments has made optimal experimental design a key tool for the industrial statistician in the 21st century. This course will demonstrate the usefulness of optimal design of experiments in a wide variety of contexts.
Instructor(s): Peter Goos, University of Antwerp, Bradley Jones, SAS Institute

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