An adaptive exponentially weighted moving average control chart

Technometrics

Volumn 45, Issue 3, 2003, Pages 199-207

  Capizzi, Giovanna ^a   Masarotto, Guido ^a  

^a UNIVERSITY OF PADOVA   (Italy)

Author keywords

Adaptive weighting; Average run length; Control chart; Exponentially weighted moving average

Indexed keywords

ADAPTIVE CONTROL SYSTEMS; COMPUTATIONAL METHODS; ERROR DETECTION; KALMAN FILTERING; MULTIVARIABLE SYSTEMS;

AVERAGE CONTROL CHARTS;

STATISTICAL PROCESS CONTROL;

EID: 0043126962     PISSN: 00401706     EISSN: 15372723     Source Type: Journal    
DOI: 10.1198/004017003000000023     Document Type: Article

References (24)

1. Aarts, E. H., and Van Laarhoven, P. J. M. (1989), “Simulated Annealing: An Introduction,” Statistica Nederlandica, 43, 31-52.
2. Albin, S. L., Kang, L., and Shea, G. (1997), “An X and EWMA Chart for Individual Observations,” Journal of Quality Technology, 29, 41-48.
3. Beaton, A. E., and Tukey, J. W. (1974), “The Fitting of Power Series, Meaning Polynomials, Illustrated on Band-Spectroscopic Data,” Technometrics, 16, 147-185.
4. Brook, D., and Evans, D. A. (1972), “An Approach to the Probability Distribution of CUSUM Run Length,” Biometrika, 59, 539-549.
5. Champ, C. W., and Woodall, W. H. (1987), “Exact Results for the Shewhart Control Charts With Supplementary Runs Rules,” Technometrics, 29, 393-399.
6. Crowder, S. V. (1987a), “Average Run Lengths of Exponentially Weighted Moving Average Control Charts,” Journal of Quality Technology, 19, 161-164.
7. Crowder, S. V. (1987b), “A Simple Method for Studying Run Length Distributions of Exponentially Weighted Moving Average Control Charts,” Technometrics, 29,401-407.
8. Huber, P. J. (1981), Robust Statistics, New York: Wiley.
9. Jun, C. H., and Suh, S. H. (1999), “Statistical Tool Breakage Detection Schemes Based on Vibration Signals in NC Milling,” International Journal ofMachine Tools & Manufacture, 39, 1733-1746.
10. Kalman, R. E. (1960), “A New Approach to Linear Filtering and Prediction Problems,” Journal of Basic Engineering, 82, 35-45.
11. Lucas, J. M., and Saccucci, M. S. (1990), “Exponentially Weighted Moving Average Control Schemes: Properties and Enhancements” (with discussion), Technometrics, 32, 1-29.
12. MacGregor, J. F., and Harris, T. J. (1990), Discussion of “Exponentially Weighted Moving Average Control Schemes: Properties and Enhancements” by J. M. Lucas and M. S. Saccucci, Technometrics, 32, 23-26.
13. Nelder, J. A., and Mead, R. (1965), “A Simplex Algorithm for Function Minimization,” Computer Journal, 7, 308-313.
14. Page, E. S. (1954), “Continuous Inspection Schemes,” Biometrika, 4, 100-114.
15. Page, E. S. (1955), “A Test for a Change in a Parameter Occurring at an Unknown Point,” Biometrika, 42, 523-526.
16. Pantazopoulos, S. N., and Pappis C. P. (1996), “A New Adaptive Method for Extrapolative Forecasting Algorithms,” European Journal of Operational Research, 94, 106-111.
17. Roberts, S. W. (1959), “Control Chart Tests Based on Geometric Moving Averages,” Technometrics, 1, 239-250.
18. Rowlands, R. J., and Whetherill, G. B. (1991), “Quality Control,” in Handbook of Sequential Analysis, eds. B. K. Ghosh and P. K. Sen, New York: Marcel Dekker, pp. 563-580.
19. Shewhart, W. A. (1931), The Economic Controlof the Quality of Manifactured Production, New York: Macmillan.
20. West, M., and Harrison, J. (1989), Bayesian Forecasting and Dynamic Models, New York: Springer-Verlag.
21. Wetherill, G. B., and Brown D. W. (1991), StatisticalProcess Control, London: Chapman & Hall.
22. Woodall, W. H., and Maragah, H. D. (1990), Discussion of “Exponentially Weighted Moving Average Control Schemes: Properties and Enhancements” by B. K. Ghosh and P. K. Sen, Technometrics, 32, 17-18.
23. Yashchin, E. (1987), “Some Aspects of the Theory of Statistical Control Schemes,” IBM Journal of Research and Development, 31, 199-205.
24. Yashchin, E. (1993), “Statistical Control Schemes: Methods, Applications and Generalizations,” International Statistical Review, 61, 41-66.