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Taguchi methods (February 22, 2005). Category:
Quality control
Genichi Taguchi was a Japanese
engineer and statistician who developed a wide range of statistical tools for improving the
quality of industrial manufacturing. These tools are collectively known as
Taguchi methods. One of the most
powerful of these tools is robust product design. In this design, certain manufacturing
parameters are varied in an inner array, and environmental parameters are varied in an outer
array. The goal is to find a combination of manufacturing parameters that perform well (on
target with minimal variation) across all of the environmental parameters. Such a combination
is robust across the range of conditions that the product might be used at.
An excellent summary appears in
section 5.5.6 of
the Engineering Statistics
Handbook published by the U.S. National Institute of
Standards and Technology.
Update (May 3, 2005): Here are some references on Taguchi designs that were posted
on edstat-l.
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Box, George E. P.; Bisgaard, Soren; Fung, Conrad "An Explanation and Critique of Taguchi's
Contributions to Quality Engineering," Center for Quality and Productivity
Improvement,Report No. 28, Ctr for Quality and Productivity Improvement, 23 pp., Madison,
WI, 1986
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Lochner, Robert H.; Mater, Joseph E., "Designing for Quality: an introduction to the best of
Taguchi and western methods of statistical experimental design," ASQC Quality Press, 1990
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Taguchi, Genichi ; Konishi, S. "Taguchi Methods: Orthogonal Arrays and Linear Graphs," ASI
Press, American Supplier Institute, Six Parklane Blvd, Suite 411, Dearborn, MI 48126 1987
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Tribus, Myron ; Szonyi, Geza "An Alternative View of the Taguchi Approach," ASQC Quality
Progress, V22(5): 46-52 (1989)
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Wilson , Don F. ; "The On's and Off's of Taguchi," QINAS , 1989
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Kacker, Raghu N.; Lagergren, Eric S.; and Filliben, James J.,"Taguchi's Fixed-element Arrays
are Fractional Factorials," J. of Quality Technology V. 23 (2), pg. 107-116,1991
07/08/2008.
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