Performance measures for a Single-Change-Point nonstationary control chart policy

IIE Transactions (Institute of Industrial Engineers)

Volumn 35, Issue 12, 2003, Pages 1111-1123

  Marcellus, Richard L ^a  

^a Northern Illinois University   (Singapore)

Author keywords

[No Author keywords available]

Indexed keywords

DECISION MAKING; NUMERICAL ANALYSIS; PERFORMANCE; SAMPLING;

NONSTATIONARY CONTROL CHART POLICIES;

PRODUCTION;

EID: 0242708896     PISSN: 0740817X     EISSN: 15458830     Source Type: Journal    
DOI: 10.1080/714044441     Document Type: Article

References (18)

1. Anon (1956) Statistical Quality Control Handbook, Western Electric Corporation, Indianapolis, IN.
2. Banerjee, P.K. and Rahim, M.A. (1988) Economic design of X-bar control charts under Weibull shock models. Technometrics, 30, 407-414.
3. Cinlar, E. (1975) Introduction to Stochastic Processes, Prentice-Hall, Englewood Cliffs, NJ, p. 25.
4. Duncan, A.J. (1956) The economic design of X charts used to maintain current control of a process. Journal of the American Statistical Association, 51, 228-242.
5. Marcellus, R.L. (1997) Evaluation of a nonstationary policy for statistical process control, in Proceedings of the Industrial Engineering Research Conference, pp. 89-94.
6. Marcellus, R.L. (2001) Operating characteristics of X-bar charts with asymmetric control limits. IIE Transactions, 33(12), 1059-1069.
7. McWilliams, T.P. (1989) Economic control chart designs and the incontrol time distribution: a sensitivity study. Journal of Quality Technology, 21(2), 103-110.
8. Moskowitz, H., Plante, R. and Chun, YH. (1994) Effect of process failure mechanisms on economic X control charts. IIE Transactions, 26(6), 12-21.
9. Munford, A.G. (1981) Comparison among certain inspection policies. Management Science, 27(3) 260-267.
10. Ohta, H. and Rahim, M.A. (1997) A dynamic economic model for an X-control chart design. IIE Transactions, 29(6), 481-486.
11. Parkhideh, B. and Case, K.E. (1989) The economic design of a dynamic X-control chart. IIE Transactions, 21(4), 313-323.
12. Parvin, C.A. and Gronowski, A.M. (1997) Effect of analytical run length on quality-control (QC) performance and the QC planning process. Clinical Chemistry, 43(11), 2149-2154.
13. Pollock, S.M. and Alden, J.M. (1992) Operating characteristics for the detection of process change, Part 1: Theoretical development. Technical Report 92-34, Department of Industrial and Operations Engineering, University of Michigan, Ann Arbor, MI 48109, USA.
14. Rahim, M.A. and Banerjee, P.K. (1993) A generalized model for the economic design of X-control charts for production systems with increasing failure rate and early replacement. Naval Research Logistics, 40, 787-809.
15. Ross, S.M. (1996) Stochastic Processes, Wiley, New York, NY
16. Tagaras, G. (1997) Economic design of time varying and adaptive control charts, in Optimization in Quality Control, Al-Sultan, K.S. and Rahim, M.A. (eds.), Kluwer, Boston, MA, pp. 145-173.
17. Tagaras, G. (1998) A survey of recent developments in the design of adaptive control charts. Journal of Quality Technology, 30(3), 212-231.
18. Widder, D. (1961) Advanced Calculus, 2nd edn., Prentice-Hall, Englewood Cliffs, NJ, Section 9.2.