Proceedings of the Korean Operations and Management Science Society Conference (한국경영과학회:학술대회논문집)
- 한국경영과학회 2006년도 추계학술대회
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- Pages.373-376
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- 2006
Modeling Approaches for Dynamic Robust Design Experiment
초록
In general, there are three kinds of methods in analyzing dynamic robust design experiment: loss model approach, response function approach, and response model approach. In this talk, we review the three modeling approaches in terms of several criteria in comparison. This talk also generalizes the response model approach based on a generalized linear model. We develop a generalized two-step optimization procedure to substantially reduce the process variance by dampening the effect of both explicit and hidden noise variables. The proposed method provides more reliable results through iterative modeling of the residuals from the fitted response model. The method is compared with three existing approaches in practical examples.
키워드
- Generalized linear models (GLMs);
- Response model (RM) approach;
- Taguchi method;
- Two-step optimization