Abstract
Vining and Myers adapted the dual response approach to achieve the goals of Taguchi's philosophy. This excellent approach contains some deficiencies that will be highlighted in this paper. A more satisfactory and substantially simpler optimization procedure on a dual response approach is proposed that allows more general response models to be entertained in reality. The new method is demonstrated using the example given in Vining and Myers in which it leads to a solution with 25% smaller mean square error.
Original language | English (US) |
---|---|
Pages (from-to) | 34-39 |
Number of pages | 6 |
Journal | Journal of Quality Technology |
Volume | 27 |
Issue number | 1 |
State | Published - Jan 1995 |
Externally published | Yes |
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ASJC Scopus subject areas
- Management Science and Operations Research
- Industrial and Manufacturing Engineering
- Statistics and Probability
Cite this
Dual response surface optimization. / Lin, Dennis K J; Tu, Wanzhu.
In: Journal of Quality Technology, Vol. 27, No. 1, 01.1995, p. 34-39.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Dual response surface optimization
AU - Lin, Dennis K J
AU - Tu, Wanzhu
PY - 1995/1
Y1 - 1995/1
N2 - Vining and Myers adapted the dual response approach to achieve the goals of Taguchi's philosophy. This excellent approach contains some deficiencies that will be highlighted in this paper. A more satisfactory and substantially simpler optimization procedure on a dual response approach is proposed that allows more general response models to be entertained in reality. The new method is demonstrated using the example given in Vining and Myers in which it leads to a solution with 25% smaller mean square error.
AB - Vining and Myers adapted the dual response approach to achieve the goals of Taguchi's philosophy. This excellent approach contains some deficiencies that will be highlighted in this paper. A more satisfactory and substantially simpler optimization procedure on a dual response approach is proposed that allows more general response models to be entertained in reality. The new method is demonstrated using the example given in Vining and Myers in which it leads to a solution with 25% smaller mean square error.
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UR - http://www.scopus.com/inward/citedby.url?scp=0029222606&partnerID=8YFLogxK
M3 - Article
AN - SCOPUS:0029222606
VL - 27
SP - 34
EP - 39
JO - Journal of Quality Technology
JF - Journal of Quality Technology
SN - 0022-4065
IS - 1
ER -