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Robust Design using Desirability Function to the Combined-Array with Multiple Quality Characteristics
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  • Journal title : Journal of the Chosun Natural Science
  • Volume 6, Issue 1,  2013, pp.39-45
  • Publisher : The Research Institute of Chosun Natural Science
  • DOI : 10.13160/ricns.2013.6.1.039
 Title & Authors
Robust Design using Desirability Function to the Combined-Array with Multiple Quality Characteristics
Kwon, Yong-Man; Lee, Jang-Jae;
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Robust design is an approach to reducing performance variation of quality characteristic values in quality engineering. Taguchi has an idea that mean and variation are handled simultaneously to reduce the expected loss in products and processes. 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 studied. In these studies, only single quality characteristic (or response) was considered. In this paper we propose how to simultaneously optimize for multiple quality characteristics (or multiresponse) using desirability function when we used the combined-array approach to assign control and noise factors.
Robust Design;Combined-Array;Simultaneously Optimize;
 Cited by
G. Taguchi, "Introduction to quality engineering: designing quality into products and process", UNIPUB/Kraus International, White Plains, NY., 1986.

G. Taguchi, "System of experimental designs: engineering methods to optimize quality and minimize cost", UNIPUB/Kraus International, White Plains, NY., 1987.

R. N. Kackar, "Off-line quality control, parameter design, and the Taguchi method", J. Qual. Technol., Vol. 17, pp. 176-209, 1985.

W. J. Welch, T .K. Yu, S. M. Kang, and J. Sacks, "Computer experiments for quality control by parameter design", J. Qual. Technol., Vol. 22, pp. 15-22, 1990.

G. G. Vining and R. H. Myers, "Combining Taguchi and response surface philosophies: A dual response approach", J. Qual. Technol., Vol. 22, pp. 38-45, 1990.

G. E. P. Box and S. P. Jones, "Designing products that are robust to the environment", Total Quality Management, Vol. 3, pp. 265-282, 1992. crossref(new window)

A. C. Shoemaker, K. L. Tsui, and C. F. J. Wu, "Economical experimentation methods for robust design", Technometrics, Vol. 33, pp. 415-427, 1991. crossref(new window)

R. H. Myers, A. I. Khuri, and G. G. Vining, "Response surface alternative to the Taguchi robust parameter design approach", Am. Stat., Vol. 46, pp. 131-139, 1992.

A. I. Khuri and M. Conlon, "Simultaneous optimization of multiple responses represented by polynomial functions", Technometrics, Vol. 23, pp. 363-375, 1981. crossref(new window)

D. S. Huang, "Regression and econometrics methods", John Wiley & Sons, New York., p. 188, 1970.

G. Derringer and R. Suich, "Simultaneous optimization of several response variables", J. Qual. Technol., Vol. 12, pp. 214-219, 1980.