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Multiresponse Optimization Through A New Desirability Function Considering Process Parameter Fluctuation  

Kwon Jun-Bum (포항공과대학교 산업경영공학과)
Lee Jong-Seok (포항공과대학교 산업경영공학과)
Lee Sang-Ho (포항공과대학교 산업경영공학과)
Jun Chi-Hyuck (포항공과대학교 산업경영공학과)
Kim Kwang-Jae (포항공과대학교 산업경영공학과)
Publication Information
Journal of the Korean Operations Research and Management Science Society / v.30, no.1, 2005 , pp. 95-104 More about this Journal
Abstract
A desirability function approach to a multiresponse problem is proposed considering process parameter fluctuation which may amplify the variance of response. It is called POE (propagation of error), which is defined as the standard deviation of the transmitted variability in the response as a function of process parameters. In order to obtain more robust process parameter setting, a new desirability function is proposed by considering POE as well as distance-to-target of response and response variance. The proposed method is illustrated using a rubber product case in Ribeiro et al. (2000).
Keywords
Desirability Function; Multiple Response Surface; Process Parameter Fluctuation; Propagation of Error;
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