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Multiresponse Optimization through a Loss Function Considering Process Parameter Fluctuation  

Kwon, Jun-Bum (Production Engineering Research Center, LG Electronics, Inc.)
Lee, Jong-Seok (Department of Industrial and Management Engineering, POSTECH)
Lee, Sang-Ho (Department of Industrial and Management Engineering, POSTECH)
Jun, Chi-Hyuck (Department of Industrial and Management Engineering, POSTECH)
Kim, Kwang-Jae (Department of Industrial and Management Engineering, POSTECH)
Publication Information
Journal of Korean Institute of Industrial Engineers / v.31, no.2, 2005 , pp. 164-172 More about this Journal
Abstract
A loss function approach to a multiresponse problem is considered, when process parameters are regarded as random variables. The variation of each response may be amplified through so called propagation of error (POE), which is defined as the standard deviation of the transmitted variability in the response as a function of process parameters. The forms of POE for each response and for a pair of responses are proposed and they are reflected in our loss function approach to determine the optimal condition. The proposed method is illustrated using a polymer case. The result is compared with the case where parameter fluctuation is not considered.
Keywords
loss function; multiple response surface; parameter fluctuation;
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