How to cite this paper
Black, G., Smith, J & Wells, S. (2011). The impact of Weibull data and autocorrelation on the performance of the Shewhart and exponentially weighted moving average control charts.International Journal of Industrial Engineering Computations , 2(3), 575-582.
Refrences
Alwan, L. C. (1992). Effects of autocorrelation on control chart performance. Communications in Statistics – Theory and Methods, 21(4), 1025-1049.
Alwan, L.C. & Bissell, M.G. (1988). Time-Series modeling for quality control in clinical chemistry, Clinical Chemistry, 34, 1396-1406.
Barr, T. J. (1993). Performance of quality control procedures when monitoring correlated processes, Ph.D. dissertation. Atlanta, GA: Georgia Institute of Technology.
Berthouex, P.M., Hunter, W.G. & Pallesen, L. (1978). Monitoring sewage treatment plants: some quality control aspects. Journal of Quality Technology, 10, 139-149.
Bloch, H. P. & Geitner, F.K. (1994). An Introduction to Machinery Reliability Assessment, Houston: Gulf Publishing Company.
Box, G. & Jenkins, G.M. (1976). Time Series Analysis: forecasting and control (Revised Edition), San Francisco: Holden-Day.
Chen, H. & Cheng, Y. (2007). Non-normality effects on the economic-statistical design of charts with Weibull in-control time. European Journal of Operational Research, 176(2), 986-998.
Durbin, J., & Watson, G.S. (1950). Testing for serial correlation in least squares regression I. Biometrika, 37, 409-428.
Durbin, J., & G.S. Watson (1951). Testing for serial correlation in least squares regression II. Biometrika, 38, 159-179.
English, J.R., Krishnamurthi, M. & Sastri, T. (1991). Quality monitoring of continuous flow processes, Computers and Industrial Engineering, 20(2), 251-260.
English, J. R., Lee, S. C., Martin, T.W. & Tilmon, C. (2000). Detecting changes in autoregressive processes with X and EWMA charts. IIE Transactions, 32, 1103-1113.
Ermer, D. S., Chow, M. C. & Wu, S. M. (1979). A time-series control chart for a nuclear reactor, Proceedings of the 1979 Annual Reliability and Maintainability Symposium (pp. 92-98). Institute of Electrical and Electronic Engineers, New York.
Erto, P., Pallotta, G., & Park, S. (2008). An example of data technology product: a control chart for Weibull processes. International Statistical Review, 76(2). 157-166.
Harris, T. J. & Ross, W. H. (1991). Statistical process control procedures for correlated observations. The Canadian Journal of Chemical Engineering, 69, 48-57.
Jarrett, J. & Pan, X. (2007). The quality control chart for monitoring multivariate autocorrelated processes. Computational Statistics & Data Analysis, 51(8), 3862-3870.
Law, A. & Kelton, D. W. (1999). Simulation Modeling and Analysis (3rd Edition). McGraw-Hill Publishing Company.
Lu, C. W. & Reynolds, M. R. (1999). EWMA control charts for monitoring the mean of autocorrelated processes. Journal of Quality Technology, 31(2), 166-188.
MacGregor, J. F. & Harris, T. J. (1990). Discussion of EWMA control schemes: properties and enhancements. Technometrics, 32, 13-16.
Maragah, H. D. & Woodall, W. H. (1992). The effect of autocorrelation on the retrospective x-chart. Journal of Statistical Computation and Simulation, 40, 29-42.
Marazzi, A. & Yohai, V. J. (2006). Robust Box-Cox transformations based on minimum residual autocorrelation. Computational Statistics & Data Analysis, 50(10), 2752-2768.
Michelson, D. K (1994). Statistical process control for correlated data, Ph.D. dissertation. College Station, TX: Texas A&M University.
Montgomery, D. C. & Friedman, D. J. (1989). Statistical process control in a computer-integrated manufacturing environment. in Statistical Process Control in Automated Manufacturing, New York: Marcel Dekker.
Pindyck, R. S. & Rubinfeld, D. L. (2000). Econometric Models & Economic Forecasts (4th Edition). McGraw-Hill Publishing Company.
Ramjee, R. (2000). Quality control charts and persistent processes, Ph.D. dissertation. Hoboken, NJ: Stevens Institute of Technology.
Schmid, W. & Schone, A. (1997). Some properties of the EWMA control chart in the presence of autocorrelation. The Annals of Statistics, 25, 1277-1283.
Tseng, S. & Adams, B. (1994). Monitoring autocorrelated processes with an exponentially weighted moving average forecast. Journal of Statistical Computation and Simulation, 50, 187-195.
Vasilopoulos, A.V. & Stamboulis, A. P. (1978). Modification of control chart limits in the presence of data correlation. Journal of Quality Technology, 10(1), 20-30.
Wardell, D.G., Moskowitz, H. & Plante, R.D. (1992). Control charts in the presence of data correlation. Management Science, 38(8), 1084-1105.
Wieringa, J. E. (1999). Statistical process control for serially correlated data, Ph.D. dissertation. Groningen, Netherlands: University of Groningen.
Woodall, W. H. & Faltin, F. W. (1993). Autocorrelated data and SPC. ASQC Statistics Division Newsletter, 13(4), 18-21.
Alwan, L.C. & Bissell, M.G. (1988). Time-Series modeling for quality control in clinical chemistry, Clinical Chemistry, 34, 1396-1406.
Barr, T. J. (1993). Performance of quality control procedures when monitoring correlated processes, Ph.D. dissertation. Atlanta, GA: Georgia Institute of Technology.
Berthouex, P.M., Hunter, W.G. & Pallesen, L. (1978). Monitoring sewage treatment plants: some quality control aspects. Journal of Quality Technology, 10, 139-149.
Bloch, H. P. & Geitner, F.K. (1994). An Introduction to Machinery Reliability Assessment, Houston: Gulf Publishing Company.
Box, G. & Jenkins, G.M. (1976). Time Series Analysis: forecasting and control (Revised Edition), San Francisco: Holden-Day.
Chen, H. & Cheng, Y. (2007). Non-normality effects on the economic-statistical design of charts with Weibull in-control time. European Journal of Operational Research, 176(2), 986-998.
Durbin, J., & Watson, G.S. (1950). Testing for serial correlation in least squares regression I. Biometrika, 37, 409-428.
Durbin, J., & G.S. Watson (1951). Testing for serial correlation in least squares regression II. Biometrika, 38, 159-179.
English, J.R., Krishnamurthi, M. & Sastri, T. (1991). Quality monitoring of continuous flow processes, Computers and Industrial Engineering, 20(2), 251-260.
English, J. R., Lee, S. C., Martin, T.W. & Tilmon, C. (2000). Detecting changes in autoregressive processes with X and EWMA charts. IIE Transactions, 32, 1103-1113.
Ermer, D. S., Chow, M. C. & Wu, S. M. (1979). A time-series control chart for a nuclear reactor, Proceedings of the 1979 Annual Reliability and Maintainability Symposium (pp. 92-98). Institute of Electrical and Electronic Engineers, New York.
Erto, P., Pallotta, G., & Park, S. (2008). An example of data technology product: a control chart for Weibull processes. International Statistical Review, 76(2). 157-166.
Harris, T. J. & Ross, W. H. (1991). Statistical process control procedures for correlated observations. The Canadian Journal of Chemical Engineering, 69, 48-57.
Jarrett, J. & Pan, X. (2007). The quality control chart for monitoring multivariate autocorrelated processes. Computational Statistics & Data Analysis, 51(8), 3862-3870.
Law, A. & Kelton, D. W. (1999). Simulation Modeling and Analysis (3rd Edition). McGraw-Hill Publishing Company.
Lu, C. W. & Reynolds, M. R. (1999). EWMA control charts for monitoring the mean of autocorrelated processes. Journal of Quality Technology, 31(2), 166-188.
MacGregor, J. F. & Harris, T. J. (1990). Discussion of EWMA control schemes: properties and enhancements. Technometrics, 32, 13-16.
Maragah, H. D. & Woodall, W. H. (1992). The effect of autocorrelation on the retrospective x-chart. Journal of Statistical Computation and Simulation, 40, 29-42.
Marazzi, A. & Yohai, V. J. (2006). Robust Box-Cox transformations based on minimum residual autocorrelation. Computational Statistics & Data Analysis, 50(10), 2752-2768.
Michelson, D. K (1994). Statistical process control for correlated data, Ph.D. dissertation. College Station, TX: Texas A&M University.
Montgomery, D. C. & Friedman, D. J. (1989). Statistical process control in a computer-integrated manufacturing environment. in Statistical Process Control in Automated Manufacturing, New York: Marcel Dekker.
Pindyck, R. S. & Rubinfeld, D. L. (2000). Econometric Models & Economic Forecasts (4th Edition). McGraw-Hill Publishing Company.
Ramjee, R. (2000). Quality control charts and persistent processes, Ph.D. dissertation. Hoboken, NJ: Stevens Institute of Technology.
Schmid, W. & Schone, A. (1997). Some properties of the EWMA control chart in the presence of autocorrelation. The Annals of Statistics, 25, 1277-1283.
Tseng, S. & Adams, B. (1994). Monitoring autocorrelated processes with an exponentially weighted moving average forecast. Journal of Statistical Computation and Simulation, 50, 187-195.
Vasilopoulos, A.V. & Stamboulis, A. P. (1978). Modification of control chart limits in the presence of data correlation. Journal of Quality Technology, 10(1), 20-30.
Wardell, D.G., Moskowitz, H. & Plante, R.D. (1992). Control charts in the presence of data correlation. Management Science, 38(8), 1084-1105.
Wieringa, J. E. (1999). Statistical process control for serially correlated data, Ph.D. dissertation. Groningen, Netherlands: University of Groningen.
Woodall, W. H. & Faltin, F. W. (1993). Autocorrelated data and SPC. ASQC Statistics Division Newsletter, 13(4), 18-21.