대한산업공학회지 (Journal of Korean Institute of Industrial Engineers)

  • 제28권3호
  • /
  • Pages.283-290
  • /
  • 2002
  • /
  • 1225-0988(pISSN)
  • /
  • 2234-6457(eISSN)
대한산업공학회 (Korean Institute of Industrial Engineers)
권호 표지

4-수준 계량인자가 포함된 반사계획에 관한 연구

A Study on Developing Fold-Over Designs with Four-Level Quantitative Factors

  • 최규필 (오리온전기(주)) ;
  • 변재현 (경상대학교 산업시스템공학부, 항공기부품기술연구센터)
  • Choi, Kiew-Phil (Total Productivity Team, Orion Electric Company) ;
  • Byun, Jai-Hyun (Department of Industrial and Systems Engineering, Gyeongsang National University)
  • 발행 : 2002.09.30
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초록

Two-level fractional factorial designs are widely used when many factors are considered. When two-level fractional factorial designs are used, some effects are confounded with each other. To break the confounding between effects, we can use fractional factorial designs, called fold-over designs, in which certain signs in the design generators are switched. In this paper, optimal fold-over designs with four-level quantitative and two-level factors are presented for (1) the initial designs without curvature effect and (2) those with curvature effect. Optimal fold-over design tables are provided for 8-run, 16-run, and 32-run experiments.

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참고문헌

  1. Addelman, S. (1962), Orthogonal Main-Effect Plans for Asymmetrical Factorial Experiments. Technometrics, 4(1), 21-46
  2. Ankenman, B. E. (1999), Design of Experiments with Two- and Four-Level Factors. Journal of Quality Technology, 31(4), 363-375
  3. Bingham, T. C. (1997). An Approach to Developing Multi-Level Fractional Factorial Designs. Journal of Quality Technology, 29(4), 370-380
  4. Box, G. E. P.; Hunter, W. G. and Hunter, J. S. (1978). Statistics for Experimenters. John Wiley & Sons, New York, NY
  5. Choi, K. P. and Byun, J. H. (2001), Design of Fractional Factorial Experiments with Four-Level Quantitative and Two-Level Factors, Journal of the Korean Institute of Industrial Engineers, 27(4), 352-365
  6. Montgomery, D. C. and Runger, G. C. (1996), Foldovers of $2^{k-p}$ Resolution IV Experimental Designs, Journal of Quality Technology, 28(4), 446-450