본문 바로가기
KERD
논문KCI 등재

성능변수와 대용변수를 이용한 3단계 X 관리도의경제적 설계

Economic Design of Three-Stage X Control Chart Based on both Performance and Surrogate Variables

0

조회

0

다운로드

0

인용

0

참고문헌

키워드

주제분류학제간연구

초록

Purpose: Two-stage X chart is a useful tool for process control when a surrogate variable may be used together with a performance variable. This paper extends the two-stage X chart to a three stage version by decomposing the first stage into the preliminary stage and the main stage. Methods: The expected cost function is derived using Markov-chain approach. The optimal designs are found for numerical examples using a genetic algorithm combined with a pattern search algorithm and compared to those of the two-stage X chart. Sensitivity analysis is performed to see the parameter effects. Results: The proposed design outperforms the optimal design of the two-stage X chart in terms of the expected cost per unit time unless the correlation between the performance and surrogate variables is modest and the shift in process mean is smallish. Conclusion: Three-stage X chart may be a useful alternative to the two-stage X chart especially when the correlation between the performance and surrogate variables is relatively high and the shift in process mean is on the small side.

Abstract

Purpose: Two-stage X chart is a useful tool for process control when a surrogate variable may be used together with a performance variable. This paper extends the two-stage X chart to a three stage version by decomposing the first stage into the preliminary stage and the main stage. Methods: The expected cost function is derived using Markov-chain approach. The optimal designs are found for numerical examples using a genetic algorithm combined with a pattern search algorithm and compared to those of the two-stage X chart. Sensitivity analysis is performed to see the parameter effects. Results: The proposed design outperforms the optimal design of the two-stage X chart in terms of the expected cost per unit time unless the correlation between the performance and surrogate variables is modest and the shift in process mean is smallish. Conclusion: Three-stage X chart may be a useful alternative to the two-stage X chart especially when the correlation between the performance and surrogate variables is relatively high and the shift in process mean is on the small side.

참고문헌 (20)

  1. Cinlar, E., "Introduction to Stochastic Processes" (1975), Prentice-Hall
  2. Costa, A. F. B, "Charts with Variable Sample Size", Journal of Quality Technology, 26, pp.155~163 (1994)
  3. Costa, A. F. B, "Charts with Variable Sample Sizes and Sampling Intervals", Journal of Quality Technology, 29, pp.197~204 (1997)
  4. Costa, A. F. B., "Economic Design of Two-Stage Charts : The Markov Chain Approach", International Journal of Production Economics, 95, pp.9~20 (2005)
  5. Duncan, A. J, "The Economic Design of Charts Used to Maintain Current Control of a Process", Journal of the American Statistical Association, 51, pp.228~242 (1956)
  6. Fuller, W. A., "Measurement Error Models" (1987), Wiley
  7. Ho, C., "Economic Design of Control Charts : A Literature Review for 1981-1991", Journal of Quality Technology, 26(1), pp.39~53 (1994)
  8. Holland, J. H., "Adaptation in Natural and Artificial systems" (1975), University of Michigan PressI
  9. Hooke, R., "Direct Search Solution of Numerical and Statistical Problems", Journal of the Association for Computing Machinery, 8, pp.212~229 (1961)
  10. Lee, J. H., "Economic Design of a Two-Stage Control Chart Based on both Performance and Surrogate Variables", Naval Research Logistics, 46, pp.958~977 (1999)
  11. MATLAB, "Global Optimization Toolbox" (2015), The Math Works, Inc
  12. Montgomery, D. C, "The Economic Design of Control Charts : A Review and Literature Survey", Journal of Quality Technology, 12(2), pp.75~87 (1980)
  13. Montgomery, D. C., "Introduction to Statistical Quality Control" (2004), Wiley
  14. Panagos, M. R., "Economic Design of Control Charts for Two Manufacturing Process Models", Naval Research Logistics, 32, pp.631~646 (1985)
  15. Prabhu, S. S., "An Adaptive Sample Size Chart", International Journal of Production Research, 31, pp.2895~2909 (1993)
  16. Prabhu, S. S., "A Combined Adaptive Sample Size and Sampling Interval Control Scheme", Journal of Quality Technology, 26, pp.164~176 (1994)
  17. Reynolds, M. R. Jr., "Charts with Variable Sampling Interval", Technometrics, 30, pp.181~192 (1988)
  18. Ross, S. M., "Stochastic Processes" (1983), Wiley
  19. Saniga, E. M, "Economic Statistical Control Chart Designs with an Application to and Charts", American Society for Quality, 31(3), pp.313~320 (1989)
  20. Yu, F. J., "Economic Design of VSI Control Charts", International Journal of Production Research, 45, pp.5639~5648 (2007)

관련 논문AI추천

이 간행물의 다른 논문 (18건)