한국데이터정보과학회:학술대회논문집
- 2003.05a
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- Pages.65-75
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- 2003
A Study on Multiple Response Optimization for Robust Design using Desirability Function
- Kwon, Yong-Man (Dept. of Computer Science and Statistics, Chosun University) ;
- Chang, Duk-Joon (Department of Statistics, Changwon National University) ;
- Hong, Yeon-Woong (Division of Internet Industrial Engineering, Dongyang University)
- Published : 2003.05.30
Abstract
In the Taguchi parameter design, the product array approach using orthogonal arrays is mainly used. However, it often requires an excessive number of experiments. An alternative approach, which is called the combined array approach, was suggested by Welch et. al. (1990) and studied by others. In these studies, only single response variable was considered. We propose how to simultaneously optimize multiple responses when we use the combined array approach.
Keywords
- Robust design;
- Taguchi parameter design;
- product array approach;
- combined array approach;
- optimize multiple responses