A case study on process optimization using the gradient loss function
作者:
J. L. RIBEIRO,
E. A. ELSAYED‡,
期刊:
International Journal of Production Research
(Taylor Available online 1995)
卷期:
Volume 33,
issue 12
页码: 3233-3248
ISSN:0020-7543
年代: 1995
DOI:10.1080/00207549508904871
出版商: Taylor & Francis Group
数据来源: Taylor
摘要:
This paper focuses on studies where the goal is to optimize the key quality characteristics of a specific product or process. In order to do that, the process parameters must be adjusted in such a way that deviations from target are minimized while robustness to noise and to process parameter fluctuations are maximized. Since this is a multi-response, multi-objective problem, the optimum solution is a compromise. In this paper we present a gradient loss function which captures all the desired objectives, and propose a general methodology to perform the optimization analysis. This methodology is then carried out experimentally on a cosmetic product and the results are discussed.
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