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An Economic Screening Method for Mixture Experiments Using Correlation Coefficients  

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)
Choi, Kyungmee (Department of Mathematics, Hongik University)
Publication Information
Journal of Korean Institute of Industrial Engineers / v.33, no.3, 2007 , pp. 349-354 More about this Journal
Abstract
A mixture experiment is a special type of the response surface experiment in which the factors are the components of a mixture, and the response variable is a function of the proportions of each component. When a new mixture product is developed, there are a large number of components, and the first objective of the experiment is to identify the ones that are most important by doing a screening experiment. We propose a method of screening mixture components using the correlation coefficients when t-tests cannot identify significant components.
Keywords
Mixture Experiments; Mixture Screening Designs; Component Effects; Correlation Coefficients; Grouping of the Components;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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1 Cornell, J. A. (2002), Experiments with Mixtures, Designs, Models, and the Analysis of Mixture Data, 3rd Edition, Wiley, New York
2 Snee, R. D. and Marquardt, D. W. (1976), Screening Concept and Designs for Experiments with Mixtures, Technometrics, 18(1), 19-29.   DOI   ScienceOn
3 Piepel, G. F. (1990), Screening Designs for Constrained Mixture Experiments Derived from Classical Screening Designs, Journal of Quality Technology, 22(1), 23-31   DOI
4 Myers, R. H. and Montgomery, D. C. (2002), Response Surface Methodology, Process and Product Optimization Using Designed Experiments, 2nd Edition, Wiley, New York
5 Kim, J. -S. and Byun, J. -H. (2006), A Study on Implementation Guideline of Screening Mixture Design and Analysis for the Development of New Mixture Products, IE Interfaces, 19(2), 117-123
6 Snee, R. D. and Marquardt, D. W. (1974), Extreme Vertices Designs for Linear Mixture Models, Technometrics, 16(3), 399-408   DOI   ScienceOn