대용변수를 이용한 X 관리도의 경제적 설계
Economic Design of X Control Chart Using a Surrogate Variable
0
조회
0
다운로드
5
인용
0
참고문헌
키워드
초록
The traditional approach to economic design of control charts is based on the assumption that a process is monitored using a performance variable. However, various types of automatic test equipments recently introduced as a part of factory automation usually measure surrogate variables instead of performance variables that are costly to measure. In this article we propose a model for economic design of a control chart which uses a surrogate variable that is highly correlated with the performance variable. The optimum values of the design parameters are determined by maximizing the total average income per cycle time. Numerical studies are performed to compare the proposed control charts with the traditional model using the examples in Panagos et al. (1985).
Abstract
The traditional approach to economic design of control charts is based on the assumption that a process is monitored using a performance variable. However, various types of automatic test equipments recently introduced as a part of factory automation usually measure surrogate variables instead of performance variables that are costly to measure. In this article we propose a model for economic design of a control chart which uses a surrogate variable that is highly correlated with the performance variable. The optimum values of the design parameters are determined by maximizing the total average income per cycle time. Numerical studies are performed to compare the proposed control charts with the traditional model using the examples in Panagos et al. (1985).
참고문헌 (14)
- Boys, R. J., "Diagonostic and Sampling Models in Screening", Biometrika, 74, pp.356~374 (1987)
- Costa, A. F. B., "Economic design of two-stage X charts : The Markov chain approach", International Journal of Production Economics, 95, pp.9~20 (2002)
- Duncan, A. J., "The Economic Design of X-Charts Used to Maintain Current Control of a Process", Journal of the American Statistical Association, 51, pp.228~242 (1956)
- Kwon, H. M., "A Process Monitoring Procedure Using a Correlated Variable", Journal of the Korean Society for Quality Management, 27, pp.35~45 (1999)
- Lee, J., "Economic Design of a Two-Stage Control Chart Based on Both Performance and Surrogate Variables", Naval Research Logistics, 46, pp.958~977 (1999)
- Lee, M. K., "Determination of the Optimum Process Mean and Screening Limit for a Production Process Based on Two Correlated Variable", Journal of the Korean Society for Quality Management, 28, pp.155~164 (2000)
- Lee, M. K., "The Optimum Target Value Under Single and Two-Stage Screenings", Journal of Quality Technology, 33, pp.506~514 (2001)
- Li, L., "Two-Sided Screening Procedures in the Bivariate Case", Technometrics, 21, pp.79~85 (1979)
- Lorenzen, T. J., "The Economic Design of Control Charts: A Unified Approach", Technometrics, 28, pp.3~10 (1986)
- Montgomery, D. C., "Introduction to Statistical Quality Control, 5th Edition" (2004), John Wiley & Sons
- Owen, D. B., "Tables Using One or Two Screening Variables to Increase Acceptable Product Under One-Sided Specifications", Journal of Quality Technology, 7, pp.127~138 (1975)
- Panagos, M. R., "Economic Design of Control Charts for Two Manufacturing Process Models", Naval Research Logistics, 32, pp.631~646 (1985)
- Wong, A., "Screening on Correlated Variables: A Bayesian Approach", Technometrics, 27, pp.423~431 (1985)
- Woodall, W. H., "Weaknesses of the Economic Design of Control Charts", Technometrics, 28, pp.408~409 (1986)