Multiple response optimization: a global criterion-based method

被引:31
作者
Costa, Nuno Ricardo [1 ]
Pereira, Zulema Lopes [2 ]
机构
[1] Escola Super Tecnol Setubal, Inst Politecn Setubal, P-2910761 Setubal, Portugal
[2] Univ Nova Lisboa, Fac Ciencias & Tecnol, UNIDEMI, P-2829516 Caparica, Portugal
关键词
desirability function; distance function; loss function; response surface; MULTIRESPONSE OPTIMIZATION; QUALITY CHARACTERISTICS; ROBUST DESIGN; IMPROVEMENT; REGRESSION; ALGORITHM;
D O I
10.1002/cem.1312
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Processes and products have by nature many quality characteristics that must be in some sense optimized simultaneously. With this aim, a method which can be used easily and efficiently by practitioners for optimizing multi-response problems is proposed. Implementation steps and considerations, in addition to optimization measures to assess method's solutions and guide the analyst in finding an effective compromise solution, are also presented. Three classical examples from the literature are used to assess the performance of several prominent methods in the response surface methodology (RSM) framework and help practitioners make a better-informed choice among them. Copyright (C) 2010 John Wiley & Sons, Ltd.
引用
收藏
页码:333 / 342
页数:10
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