Multiresponse Optimization Through A New Desirability Function Considering Process Parameter Fluctuation

공정변수의 변동을 고려한 만족도 함수를 통한 다중반응표면 최적화

A desirability function approach to a multiresponse problem is proposed considering process parameter fluctuation as well as distance-to-target of response and response variance. The variation of process parameters amplifies the variance of responses. 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 parameters, this variability should be considered in the optimization problem. The proposed method is illustrated using a rubber product case.