Extensions to the Taguchi method of product design

Kevin N. Otto*, Erik K. Antonsson

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

31 Citations (Scopus)

Abstract

The Taguchi method of product design is an experimental approximation to minimizing the expected value of target variance for certain classes of problems. Taguchi's method is extended to designs which involve variables each of which has a range of values all of which must be satisfied (necessity), and designs which involve variables each of which has a range of values any of which might be used (possibility). Tuning parameters, as a part of the design process, are also introduced into Taguchi's method. The method is also extended to solve design problems with constraints, invoking the methods of constrained optimization. Finally, the Taguchi method uses a factorial method to search the design space, with a confined definition of an optimal solution. This is compared with other methods of searching the design space and their definition of an optimal solution.

Original languageEnglish
Title of host publicationAmerican Society of Mechanical Engineers, Design Engineering Division (Publication) DE
Pages21-30
Number of pages10
Volume31
Publication statusPublished - 1991
MoE publication typeA4 Article in a conference publication
EventInternational Conference on Design Theory and Methodology - Miami, United States
Duration: 22 Sep 199125 Sep 1991
Conference number: 3

Conference

ConferenceInternational Conference on Design Theory and Methodology
Abbreviated titleDTM
CountryUnited States
CityMiami
Period22/09/199125/09/1991

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