A new loss function-based method for multiresponse optimization

被引：126

作者：

Ko, YH ^{[1
]}

Kim, KJ ^{[1
]}

Jun, CH ^{[1
]}

机构：

[1] Pohang Univ Sci & Technol, Div Mech & Ind Engn, Pohang 790784, Kyungbuk, South Korea

来源：

JOURNAL OF QUALITY TECHNOLOGY | 2005年 / 37卷 / 01期

关键词：

bias; future response; quality of predictions; robustness;

D O I：

10.1080/00224065.2005.11980300

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

A new loss function-based method for multiresponse optimization is presented. The proposed method introduces predicted future responses in a loss function, which accommodates robustness and quality of predictions as well as bias in a single framework. Properties of the proposed method are illustrated with two examples. We show that the proposed method gives more reasonable results than the existing methods when both robustness and quality of predictions are important issues.

引用

页码：50 / 59

页数：10

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