Monitoring Process Mean and Variance with a Single Generally Weighted Moving Average Chart

References

• Chen , G. , Cheng , S. W. , Xie , H. ( 2001 ). Monitoring process mean and variability with one EWMA chart . J. Qual. Techno. 33 : 223 – 233 .
   Web of Science ®Google Scholar
• Chiu , W. C. ( 2009 ). Generally weighted moving average control charts with fast initial response features . J. Appl. Statist. 36 : 255 – 275 .
   Web of Science ®Google Scholar
• DeVor , R. E. , Chang , T. H. , Sutherland , J. W. ( 2007 ). Statistical Quality Design and Control: Contemporary Concepts and Methods. , 2nd ed. NJ : Pearson Prentice Hall .
   Google Scholar
• Knoth , S. ( 2005 ). Fast initial response features for EWMA control charts . Statist. Pap. 46 : 47 – 64 .
   Web of Science ®Google Scholar
• Sheu , S. H. ( 1998 ). A generalized age and block replacement of a system subject to shocks . Eur. J. Operat. Res. 108 : 345 – 362 .
   Web of Science ®Google Scholar
• Sheu , S. H. ( 1999 ). Extended optimal replacement model for deteriorating systems . Eur. J. Operat. Res. 112 : 503 – 516 .
   Web of Science ®Google Scholar
• Sheu , S. H. , Chiu , W. C. ( 2007 ). Poisson GWMA control chart . Commun. Statist. Simul. Computat. 36 : 1099 – 1114 .
   Web of Science ®Google Scholar
• Sheu , S. H. , Griffith , W. S. ( 1996 ). Optimal number of minimal repairs before replacement of a system subject to shocks . Nav. Res. Logist. 43 : 319 – 333 .
   Web of Science ®Google Scholar
• Sheu , S. H. , Hsieh , Y. T. ( 2009 ). The extended GWMA control chart . J. Appl. Statist. 36 : 135 – 147 .
   Web of Science ®Google Scholar
• Sheu , S. H. , Lin , T. C. ( 2003 ). The generally weighted moving average control chart for detecting small shifts in the process mean . Qual. Eng. 16 : 209 – 231 .
   Google Scholar
• Sheu , S. H. , Lu , S. L. ( 2008 ). Monitoring autocorrelated process mean and variance using a GWMA chart based on residuals . Asia Pacif. J. Operat. Res. 25 : 781 – 792 .
   Web of Science ®Google Scholar
• Sheu , S. H. , Lu , S. L. ( 2009a ). Monitoring the mean of autocorrelated observations with one generally weighted moving average control chart . J. Statist. Computat. Simul. 79 : 1393 – 1406 .
   Web of Science ®Google Scholar
• Sheu , S. H. , Lu , S. L. ( 2009b ). The effect of autocorrelated observations on a GWMA control chart performance . Int. J. Qual. Reliab. Manage. 26 : 112 – 128 .
   Google Scholar
• Sheu , S. H. , Tai , S. H. ( 2006 ). Generally weighted moving average control chart for monitoring process variability . Int. J. Adv. Manufact. Techno. 30 : 452 – 458 .
   Web of Science ®Google Scholar
• Sheu , S. H. , Yang , L. ( 2006 ). The generally weighted moving average control chart for monitoring the process median . Qual. Eng. 18 : 333 – 344 .
   Google Scholar
• Sheu , S. H. , Lin , T. C. , Tai , S. H. ( 2007 ). Extended Poisson exponentially weighted moving average control chart for monitoring process quality . Int. J. Industr. Eng. Theor. Appli. Pract. 14 : 382 – 391 .
   Web of Science ®Google Scholar
• Sheu , S. H. , Tai , S. H. , Hsieh , Y. T. , Lin , T. C. ( 2009 ). Monitoring process mean and variability with generally weighted moving average control charts . Comput. Industr. Eng. 57 : 401 – 407 .
   Web of Science ®Google Scholar
• Wu , Z. , Zhang , S. , Wang , P. H. ( 2007 ). A Cusum scheme with variable sample sizes and sampling intervals for monitoring the process mean and variance . Qual. Reliab. Eng. Int. 23 : 157 – 170 .
   Web of Science ®Google Scholar
• Yang , L. , Sheu , S. H. ( 2006 ). Integrating multivariate engineering process control and multivariate statistical process control . Int. J. Adv. Manufact. Techno. 29 : 129 – 136 .
   Web of Science ®Google Scholar
• Zhang , S. , Wu , Z. ( 2006 ). Monitoring the process mean and variance by the WLC scheme with variable sampling intervals . IIE Trans. 38 : 377 – 387 .
   Web of Science ®Google Scholar