Reduction of control-chart signal variablity for high-quality processes

References

• Benneyan , J. C. 1991 . Statistical control charts based on geometric and negative binomial populations , Amherst : University of Massachusetts . Masters Thesis
   Google Scholar
• Benneyan , J. C. 2001 . Number-between g-type statistical quality control charts for monitoring adverse events, Health Care Manag. Sci. 4 . : 305 – 318 .
   Google Scholar
• Benneyan , J. C. and Kaminsky , F. C. 1994 . The g andh control charts: modelling discrete data in SPC . ASQC Ann. Qual. Congr. Trans. , : 32 – 42 .
   Google Scholar
• Bourke , P. D. 1991 . Detecting a shift in fraction nonconforming using run-length control charts with 100% inspection . J. Qual. Techn. , 23 : 225 – 238 .
   Web of Science ®Google Scholar
• Bourke , P. D. 2006 . The RL2 chart versus the np chart for detecting upward shifts in fraction defective . J. Appl. Stat. , 33 : 1 – 15 .
   Web of Science ®Google Scholar
• Calvin , T. W. 1983 . Quality control techniques for ‘zero defects’ . IEEE Trans. Components Hybrids Manufacturing Technol. , 6 : 323 – 328 .
   Web of Science ®Google Scholar
• Chen , G. 1997 . The mean and standard deviation of the run length distribution of charts when control limits are estimated . Statis. Sinica. , 7 : 789 – 798 .
   Web of Science ®Google Scholar
• Gluskkovsky , E. A. 1994 . On-line G-control chart for attribute data . Qual. Reliab. Eng. Internat. , 10 : 217 – 227 .
   Web of Science ®Google Scholar
• Goh , T. N. 1987 . A control chart for very high yield processes . Qual. Assurance , 13 : 18 – 22 .
   Google Scholar
• Govindaraju , K. and Lai , C. D. 2004 . Run length variability and three sigma limits . Econ. Qual. Control , 19 : 175 – 184 .
   Google Scholar
• Jones , L. A. and Champ , C. W. 2001 . The performance of exponentially weighted moving average charts with estimated parameters . Technometrics , 43 : 156 – 167 .
   Web of Science ®Google Scholar
• Jones , L. A. , Champ , C. W. and Rigdon , S. E. 2004 . The run length distribution of the CUSUM with estimated parameters . J. Qual. Technol. , 36 : 95 – 108 .
   Web of Science ®Google Scholar
• Kaminsky , F. C. 1992 . Statistical control charts based on a geometric distribution . J. Qual. Technol. , 24 : 63 – 69 .
   Web of Science ®Google Scholar
• Nelson , L. S. 1994 . A control chart for parts-per-million nonconforming items . J. Qual. Technol. , 26 : 239 – 240 .
   Web of Science ®Google Scholar
• Ohta , H. , Kusukawa , E. and Rahim , A. 2001 . A CCC-r chart for high yield processes . Qual. Reliab. Eng. Internat. , 17 : 439 – 446 .
   Web of Science ®Google Scholar
• Quesenberry , C. P. 1995 . Geometric Q Charts for High Quality Processes . J. Qual. Technol. , 27 ( 4 ) : 304 – 315 .
   Web of Science ®Google Scholar
• Ryan , T. P. 1997 . Frontiers in Statistical Quality Control , Edited by: Lenz , H.-J. and Wilrich , P.-Th. Vol. 5 , 90 – 101 . Physica Verlag, Heidelberg . Efficient estimation of control chart parameter
   Google Scholar
• Schwertman , N. C. 2005 . Designing accurate control charts based on the geometric and negative binomial distributions . Qual. Reliab. Eng. Internat. , 21 : 743 – 756 .
   Web of Science ®Google Scholar
• Sun , J. and Zhang , G. X. 2000 . Control charts based on the number of consecutive conforming items between two successive nonconforming items for the near zero-nonconformity processes, Total Qual. Manag. 11 , : 235 – 250 .
   Google Scholar
• Tang , L. C. and Cheong , W. T. 2004 . Cumulative conformance count chart with sequentially updated parameters . IIE Trans. , 36 : 841 – 853 .
   Web of Science ®Google Scholar
• Wetherill , G. B. and Brown , D. W. 1991 . Statistical Process Control—Theory and Practice , London : Chapman and Hall .
   Google Scholar
• Woodall , W. H. 2000 . Controversies and contradictions in statistical process control (with discussion) . J. Qual. Technol. , 32 : 341 – 378 .
   Web of Science ®Google Scholar
• Wu , Z. and Spedding , T. A. 1999 . Evaluation of ATS for CRL control chart . Process Control Qual. , 11 : 183 – 191 .
   Google Scholar
• Wu , Z. and Spedding , T. A. 2000 . A synthetic control chart for detecting small shifts in the process mean . J. Qual. Technol. , 32 : 32 – 38 .
   Web of Science ®Google Scholar
• Wu , Z. , Yeo , S. H. and Fan , H. T. 2000 . A comparative study of the CRL-type control charts, Qual . Reliab. Eng. Internat. , 16 : 269 – 279 .
   Web of Science ®Google Scholar
• Wu , Z. , Zhang , X. L. and Yeo , S. H. 2001 . Design of the sum-of-conforming-run-length control charts . European J. Oper. Res. , 132 : 187 – 196 .
   Web of Science ®Google Scholar
• Xie , M. and Goh , T. N. 1992 . Some procedures for decision making in controlling high yield processes . Qual. Reliab. Eng. Internat. , 8 : 355 – 360 .
   Google Scholar
• Xie , M. , Goh , T. H. and Kuralmani , V. 2002 . Statistical Models and Control Charts for High Quality Processes , Boston : Kluwer Academic Publishers .
   Google Scholar
• Xie , M. 1999 . A quality monitoring and decision-making scheme for automated production processes, Internat . J. Qual. Reliab. Manag. , 16 : 148 – 147 .
   Google Scholar
• Yang , Z. 2002 . On the performance of geometric charts with estimated control limits . J. Qual. Technol. , 34 : 448 – 458 .
   Web of Science ®Google Scholar