Title
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Robust Parameter Design for Product/Process Improvement
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Date / Time / Room
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Sponsor
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Type
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08/11/2002
8:00 AM -
4:00 PM
Room: H-Concourse F
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ASA, Section on Quality & Productivity*
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Other
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Organizer:
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n/a
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Chair:
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n/a
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CE Presenter
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- University of Michigan
- University of Michigan
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Description
This one-day course will be based on the textbook co-authored by the instructor. The short course notes will be made available to the participants. The book contains many new methods not found in existing textbooks, and covers more than 80 data sets and 200 exercises. The tools covered in the course include a quick review of modern methods for fractional factorial designs (i.e., minimum aberration criterion for optimal factor assignment, orthogonal arrays, analysis strategies), variation reduction, robust parameter design for product/process improvement, modeling strategies and layout techniques, extensions to experiments with dynamic characteristics, and a discussion of the limitations of Taguchi's signal-to-noise ratios. The course will cover basic tools and illustrate them with data from real experiments. There will be time reserved for questions and discussions.
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