DOI QR코드

DOI QR Code

Economic Design of Three-Stage $\bar{X}$ Control Chart Based on both Performance and Surrogate Variables

성능변수와 대용변수를 이용한 3단계 $\bar{X}$ 관리도의 경제적 설계

  • Kwak, Shin-Seok (Policy Planning Division, Daejeon City Hall) ;
  • Lee, Jooho (Department of Information & Statistics, Chungnam National University)
  • 곽신석 (대전광역시 기획조정실) ;
  • 이주호 (충남대학교 정보통계학과)
  • Received : 2016.07.29
  • Accepted : 2016.10.04
  • Published : 2016.12.31

Abstract

Purpose: Two-stage ${\bar{X}}$ 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 ${\bar{X}}$ 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 ${\bar{X}}$ chart. Sensitivity analysis is performed to see the parameter effects. Results: The proposed design outperforms the optimal design of the two-stage ${\bar{X}}$ 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 ${\bar{X}}$ chart may be a useful alternative to the two-stage ${\bar{X}}$ 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.

Keywords

Acknowledgement

Supported by : 충남대학교

References

  1. Cinlar, E. 1975. Introduction to Stochastic Processes. Englewood Cliffs: Prentice-Hall.
  2. Costa, A. F. B. 1994. "$\bar{X}$ Charts with Variable Sample Size." Journal of Quality Technology 26: 155-163. https://doi.org/10.1080/00224065.1994.11979523
  3. Costa, A. F. B. 1997. "$\bar{X}$ Charts with Variable Sample Sizes and Sampling Intervals." Journal of Quality Technology 29:197-204. https://doi.org/10.1080/00224065.1997.11979750
  4. Costa, A. F. B., and De Magalhaes, M. S. 2005. "Economic Design of Two-Stage $\bar{X}$ Charts : The Markov Chain Approach." International Journal of Production Economics 95:9-20. https://doi.org/10.1016/j.ijpe.2003.10.024
  5. Duncan, A. J. 1956. "The Economic Design of $\bar{X}$ Charts Used to Maintain Current Control of a Process." Journal of the American Statistical Association 51:228-242.
  6. Fuller, W. A. 1987. Measurement Error Models. New York: Wiley.
  7. Ho, C., and Case, K. E. 1994. "Economic Design of Control Charts: A Literature Review for 1981-1991." Journal of Quality Technology 26(1):39-53. https://doi.org/10.1080/00224065.1994.11979497
  8. Holland, J. H. 1975. Adaptation in Natural and Artificial systems. Ann Arbor: University of Michigan PressI.
  9. Hooke, R., and Jeeves, T. A. 1961. "Direct Search Solution of Numerical and Statistical Problems." Journal of the Association for Computing Machinery 8:212-229. https://doi.org/10.1145/321062.321069
  10. Lee, J. H., and Kwon, W. J. 1999. "Economic Design of a Two-Stage Control Chart Based on both Performance and Surrogate Variables." Naval Research Logistics 46:958-977. https://doi.org/10.1002/(SICI)1520-6750(199912)46:8<958::AID-NAV6>3.0.CO;2-I
  11. MATLAB. 2015. Global Optimization Toolbox. 2015. Natick: The Math Works, Inc.
  12. Montgomery, D. C. 1980. "The Economic Design of Control Charts : A Review and Literature Survey." Journal of Quality Technology 12(2):75-87. https://doi.org/10.1080/00224065.1980.11980940
  13. Montgomery, D. C. 2004. Introduction to Statistical Quality Control, 5th Edition. New York: Wiley.
  14. Panagos, M. R., Heikes, R. G., and Montgomery, D. C. 1985. "Economic Design of $\bar{X}$ Control Charts for Two Manufacturing Process Models." Naval Research Logistics 32:631-646. https://doi.org/10.1002/nav.3800320410
  15. Prabhu, S. S., Runger, G. C., and Keats, J. B. 1993. "An Adaptive Sample Size $\bar{X}$ Chart." International Journal of Production Research 31:2895-2909. https://doi.org/10.1080/00207549308956906
  16. Prabhu, S. S., Montgomery, D. C., and Runger, G. C. 1994. "A Combined Adaptive Sample Size and Sampling Interval $\bar{X}$ Control Scheme." Journal of Quality Technology 26:164-176. https://doi.org/10.1080/00224065.1994.11979524
  17. Reynolds, M. R. Jr., Amin, R. W., Arnold, J. C., and Nachlas, J. A. 1988. "$\bar{X}$ Charts with Variable Sampling Interval." Technometrics 30:181-192.
  18. Ross, S. M. 1983. Stochastic Processes. New York: Wiley.
  19. Saniga, E. M. 1989. "Economic Statistical Control Chart Designs with an Application to $\bar{X}$ and $\mathcal{R}$ Charts." American Society for Quality 31(3):313-320.
  20. Yu, F. J., Rahim, M. A., and Chin, H. 2007. "Economic Design of VSI $\bar{X}$ Control Charts." International Journal of Production Research 45:5639-5648. https://doi.org/10.1080/00207540701325512