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2018 | OriginalPaper | Chapter

13. Introduction to Taguchi Methods

Authors : Paul D. Berger, Robert E. Maurer, Giovana B. Celli

Published in: Experimental Design

Publisher: Springer International Publishing

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Abstract

We have seen how, using fractional-factorial designs, we can obtain a substantial amount of information efficiently. Although these techniques are powerful, they are not necessarily intuitive. For years, they were available only to those who were willing to devote the effort required for their mastery, and to their clients. That changed, to a large extent, when Dr. Genichi Taguchi, a Japanese engineer, presented techniques for designing certain types of experiments using a “cookbook” approach, easily understood and usable by a wide variety of people. Most notable among the types of experiments discussed by Dr. Taguchi are two- and three-level fractional-factorial designs. Dr. Taguchi’s original target population was manufacturing engineers, but his techniques are readily applied to many management problems. Using Taguchi methods, we can dramatically reduce the time required to design fractional-factorial experiments.

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Appendix
Available only for authorised users
Footnotes
1
Taguchi also developed some easy ways to design some other types of experiments, for example, nested designs; however, in this text, we discuss Taguchi’s methods only for fractional-factorial designs.
 
2
It is true that to use an L8, one must need no more than seven estimates to be clean. However, the inverse is not necessarily true – if seven effects need to be estimated cleanly, it is not guaranteed that an L8 will succeed in giving that result, although it will in nearly all real-world cases.
 
3
Those unfamiliar with both mah-jongg and gin rummy should skip this paragraph.
 
4
Although we noted earlier that having only six effects to be estimated cleanly does not guarantee that an L8 will suffice; when the six (or seven, for that matter) are all main effects, it is guaranteed.
 
Metadata
Title
Introduction to Taguchi Methods
Authors
Paul D. Berger
Robert E. Maurer
Giovana B. Celli
Copyright Year
2018
DOI
https://doi.org/10.1007/978-3-319-64583-4_13

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