Dual Response Optimization via Direct Function Minimization
作者:
CopelandKaren A. F.,
NelsonPeter R.,
期刊:
Journal of Quality Technology
(Taylor Available online 1996)
卷期:
Volume 28,
issue 3
页码: 331-336
ISSN:0022-4065
年代: 1996
DOI:10.1080/00224065.1996.11979683
出版商: Taylor&Francis
关键词: Multiple Responses;Nelder-Mead Simplex Procedure;Optimization;Response Surface Methodology
数据来源: Taylor
摘要:
Recently several authors have discussed how one can solve the three dual response problems proposed by Taguchi (target is best, larger is better, and smaller is better) without resorting to signal-to-noise ratios. The most recent articles have all relied on nonlinear programming techniques to obtain the actual solution. While these techniques certainly work, it is also possible to solve the dual response problems using the more familiar technique of direct function minimization. We demonstrate this using the Nelder-Mead simplex procedure. We also propose slightly different formulations of the problems, which seem to be more realistic. Examples for each type of dual response problem are presented.
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