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Procedures for Monitoring the Process Mean and Variance with One Control Chart
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 Title & Authors
Procedures for Monitoring the Process Mean and Variance with One Control Chart
Jung, Sang-Hyun; Lee, Jae-Heon;
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 Abstract
Two control charts are usually required to monitor both the process mean and variance. In this paper, we introduce control procedures for jointly monitoring the process mean and variance with one control chart, and investigate efficiency of the introduced charts by comparing with the combined two EWMA charts. Our numerical results show that the GLR chart, the Omnibus EWMA chart, and the Interval chart have good ARL properties for simultaneous changes in the process mean and variance.
 Keywords
Process control;GLR chart;EWMA chart;interval chart;agerage run length;
 Language
Korean
 Cited by
 References
1.
Amin, R. W. and Wolff, H. (1995). The behavior of EWMA-type quality control schemes in the case of mixture alternatives, Sequential Analysis, 14, 157-177 crossref(new window)

2.
Amin, R. W., Wolff, H., Besenfelder, W. and Baxley, R., Jr. (1999). EWMA control charts for the smallest and largest observations, Journal of Quality Technology, 31, 189-206

3.
Apley, D. W. and Shi, J. (1999). The GLRT for statistical process control of autocorrelated processes, IIE Transactions, 31, 1123-1134

4.
Chen, G., Cheng, S. W. and Xie, H. (2001). Monitoring process mean and variability with one EWMA chart, Journal of Quality Technology, 33, 223-233.

5.
Crowder, S. V. and Hamilton, M. D. (1992). An EWMA for monitoring a process standard deviation, Journal of Quality Technology, 24, 12-21

6.
Domangue, R. and Patch, S. C. (1991). Some omnibus exponentially weighted moving average statistical process monitoring schemes, Technometrics, 33, 299-313 crossref(new window)

7.
Gan, F. F., Ting, K. W. and Chang, T. C. (2004). Interval charting schemes for joint monitoring of process mean and variance, Quality and Reliability Engineering International, 20, 291-304 crossref(new window)

8.
Howell, J. M. (1949). Control chart for largest and smallest values, The Annals of Mathematical Staistics, 20, 305-309 crossref(new window)

9.
Sarkadi, K. and Vincze, I. (1974). Mathematical methods of statistical quality control, Academic Press, New York

10.
Vander Wiel, S. A. (1996). Monitoring processes that wander using integrated moving average models, Technometrics, 38, 139-151 crossref(new window)