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所属单位：经济与管理学院

发表刊物：EUROPEAN JOURNAL OF OPERATIONAL RESEARCH

关键字：Quality management Multi-response optimization Model parameter uncertainty Implementation errors Robustness

摘要：Response surface-based design optimization has been commonly used to seek the optimal input settings in process or product design problems. Yet in most of the existing researches, there is no model parameter uncertainty in the modeling process and the optimal settings can be implemented at the precise values. These two assumptions are far from the reality. Consequently, the optimal settings often turn out to be suboptimal in some manner. This paper proposes a new loss function method to deal with model parameter uncertainty and implementation errors (MPUIE). An interpretable expression for the new optimization strategy is derived, which provides insights into the impact of MPUIE on the determination of the optimal settings. A random simulation example and a real-life case study are used to demonstrate the effectiveness of the proposed approach. The approach gives the optimal settings that are the result of making tradeoffs among different directions from the center of the experimental design region or, more generally, in a manner that mitigates the adverse effects of MPUIE. (C) 2016 Elsevier B.V. All rights reserved.

ISSN号：0377-2217

是否译文：否

发表时间：2017-04-16

合写作者：Ma, Yizhong,Wang, Jianjun,Tu, Yiliu

通讯作者：Tu, Yiliu,欧阳林寒