Proceedings of the Korean Operations and Management Science Society Conference (한국경영과학회:학술대회논문집)
- 2006.05a
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- Pages.1085-1092
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- 2006
Comparison of Small Sized Designs for Second-Order Modelling
2차 모형을 위한 소형 실험계획의 비교
- Kim Jeong-Suk (Department of Industrial and Systems Engineering and Engineering Research Institute Gyeongsang National University) ;
- Byun Jai-Hyun (Department of Industrial and Systems Engineering and Engineering Research Institute Gyeongsang National University)
- Published : 2006.05.01
Abstract
Response surface methodology(RSM) is a useful collection of experimentation techniques for developing, improving, and optimizing products and processes. When we are to estimate second-order regression model and optimize quality characteristic by RSM, central composite designs and Box-Behnken designs are widely in use. However, in developing cutting-edge products, it is very crucial to reduce the time of experimentation as much as possible. In this paper small-sized second-order designs are introduced and their estimation abilities are compared in terms of D-optimality, A-optimality, and variance of regression coefficients. The result of this study will be beneficial to experimenters who face experiments which are expensive, difficult, or time-consuming.
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