Combined synthetic and |S| chart for monitoring process dispersion

References

• Abujiya, M. R., Riaz, M., Lee, M. H. (2016). A new combined Shewhart-cumulative sum S chart for monitoring process standard deviation. Quality and Reliability Engineering International 32:1149–1165.
   Google Scholar
• Ahmad, S., Riaz, M., Abbasi, S. A., Lin, Z. (2013). On monitoring process variability under double sampling scheme. International Journal of Production Economics 142:388–400.
   Google Scholar
• Alt, F. B. (1985). Multivariate quality control. In: Kotz, S., Johnson, N. L., eds. Encyclopedia of Statistical Sciences. New York: John Wiley, pp. 110–122.
   Google Scholar
• Alt, F. B., Smith, N. D. (1988). Multivariate process control. In: Krishnaiah, P. R., Rao, C.R., eds. Handbook of Statistics. Vol. 7, New York: Elsevier, pp. 331–351.
   Google Scholar
• Aly, A. A., Hamed, R. M., Mahmoud, M. A. (in press). Optimal design of the adaptive exponentially weighted moving average control chart over a range of mean shifts. Communication in Statistics – Simulation and Computation DOI: 10.1080/03610918.2014.983650.
   Google Scholar
• Aparisi, F., Jabaloyes, J., Carrion, A. (1999). Statistical properties of the |S| multivariate control chart. Communications in Statistics – Simulation and Computation 28:2671–2686.
   Google Scholar
• Aparisi, F., Jabaloyes, J., Carrion, A. (2001). Generalized variance chart design with adaptive sample sizes. The bivariate case. Communications in Statistics – Simulation and Computation 30:931–948.
   Google Scholar
• Bourke, P. D. (1991). Detecting a shift in fraction nonconforming using run-length control charts with 100% inspection. Journal of Quality Technology 23:225–238.
   Google Scholar
• Calzada, M. E., Scariano, S. M. (2013a). A synthetic control chart for the coefficient of variation. Journal of Statistical Computation and Simulation 83:853–867.
   Google Scholar
• Calzada, M. E., Scariano, S. M. (2013b). The synthetic t and synthetic EWMA t charts. Quality Technology & Quantitative Management 10:37–56.
   Google Scholar
• Castagliola, P., Wu, S., Khoo, M. B. C., Chakraborti, S. (2014). Synthetic phase II Shewhart-type attributes control charts when process parameters are estimated. Quality and Reliability Engineering International 30:315–335.
   Google Scholar
• Doğu, E., Kocakoç, İ. D. (2011). Estimation of change point in generalized variance control chart. Communications in Statistics – Simulation and Computation 40:345–363.
   Google Scholar
• Fang, Y. Y., Khoo, M. B. C., Lee, M. H. (2013). Synthetic-type control charts for time-between-events monitoring. PLoS ONE 8:e65440.
   Google Scholar
• Ghute, V. B., Shirke, D. T. (2008). A multivariate synthetic control chart for process dispersion. Quality Technology & Quantitative Management 5:271–288.
   Google Scholar
• Grigoryan, A., He, D. (2005). Multivariate double sampling |S| charts for controlling process variability. International Journal of Production Research 43:715–730.
   Google Scholar
• Haq, A., Brown, J., Moltchanova, E. (2015). New synthetic control charts for monitoring process mean and process dispersion. Quality and Reliability Engineering International 31:1305–1325
   Google Scholar
• Haridy, S., Wu, Z., Abhary, K., Castagliola, P., Shamsuzzaman, M. (2014). Development of a multiattribute synthetic-np chart. Journal of Statistical Computation and Simulation 84:1884–1903.
   Google Scholar
• Haridy, S., Wu, Z., Khoo, M. B. C., Yu, F.J. (2012). A combined synthetic and np scheme for detecting increases in fraction nonconforming. Computers & Industrial Engineering 62:979–988.
   Google Scholar
• Hu, X., Castagliola, P., Sun, J., Khoo, M. B. C. (2015). The effect of measurement errors on the synthetic chart. Quality and Reliability Engineering International 31:1769–1778
   Google Scholar
• Khilare, S. K., Shirke, D. T. (2010). A nonparametric synthetic control chart using sign statistic. Communications in Statistics – Theory and Methods 39:3282–3293.
   Google Scholar
• Khilare, S. K., Shirke, D. T. (2012). Nonparametric synthetic control charts for process variation. Quality and Reliability Engineering International 28:193–202.
   Google Scholar
• Khoo, M. B. C., Lee, H. C., Wu, Z., Chen, C. H., Castagliola, P. (2011a). A synthetic double sampling control chart for the process mean. IIE Transactions 43:23–38.
   Google Scholar
• Khoo, M. B. C., Teoh, W. L., Castagliola, P., Lee, M. H. (2013). Optimal designs of the double sampling chart with estimated parameters. International Journal of Production Economics 144:345–357.
   Google Scholar
• Khoo, M. B. C., Wong, V. H., Wu, Z., Castagliola, P. (2011b). Optimal designs of the multivariate synthetic chart for monitoring the process mean vector based on median run length. Quality and Reliability Engineering International 27:981–997.
   Google Scholar
• Khoo, M. B. C., Wong, V. H., Wu, Z., Castagliola, P. (2012). Optimal design of the synthetic chart for the process mean based on median run length. IIE Transactions 44:765–779.
   Google Scholar
• Lee, M. H. (2012). The design of the multivariate synthetic exponentially weighted moving average control chart. Communications in Statistics – Simulation and Computation 41:1785–1793.
   Google Scholar
• Lee, M. H., Khoo, M. B. C. (2014). The synthetic mean square error control chart. Communications in Statistics – Simulation and Computation 43:1523–1542.
   Google Scholar
• Lee, M.H., Khoo, M.B.C. (2015). Multivariate synthetic |S| control chart with variable sampling interval. Communications in Statistics – Simulation and Computation 44:924–942.
   Google Scholar
• Lee, M. H., Khoo, M. B. C., Xie, M. (2014). An optimal control procedure based on multivariate synthetic cumulative sum. Quality and Reliability Engineering International 30:1049–1058.
   Google Scholar
• Lee, P.H. (2013). Joint statistical design of and s charts with combined double sampling and variable sampling interval. European Journal of Operational Research 225:285–297.
   Google Scholar
• Lee, P.H., Torng, C. C. (2015). A note on “modified Tukey's control chart”. Communications in Statistics – Simulation and Computation 44:233–238.
   Google Scholar
• Machado, M.A.G., Costa, A.F.B. (2014a). A side-sensitive synthetic chart combined with an chart. International Journal of Production Research 52:3404–3416.
   Google Scholar
• Machado, M. A. G., Costa, A. F. B. (2014b). Some comments regarding the synthetic chart. Communications in Statistics – Theory and Methods 43:2897–2906.
   Google Scholar
• Ou, Y., Chen, N., Khoo, M. B. C. (2015a). An efficient multivariate control charting mechanism based on SPRT. International Journal of Production Research 53:1937–1949.
   Google Scholar
• Ou, Y., Wu, Z., Khoo, M. B. C., Chen, N. (2015b). A rational sequential probability ratio test control chart for monitoring process shifts in mean and variance. Journal of Statistical Computation and Simulation 85:1765–1781.
   Google Scholar
• Pawar, V. Y., Shirke, D. T. (2010). A nonparametric Shewhart-type synthetic control chart. Communications in Statistics – Simulation and Computation 39:1493–1505.
   Google Scholar
• Rajmanya, S. V., Ghute, V. B. (2014). A synthetic control chart for monitoring process variability. Quality and Reliability Engineering International 30:1301–1309.
   Google Scholar
• Riaz, M. (2015). On enhanced interquartile range charting for process dispersion. Quality and Reliability Engineering International 31:389–398.
   Google Scholar
• Shamsuzzaman, M., Khoo, M. B. C., Haridy, S., Alsyouf, I. (2014). An optimization design of the 3-EWMA scheme for monitoring mean shifts. International Journal of Advanced Manufacturing Technology 74:1061–1076.
   Google Scholar
• Wu, Z., Ou, Y., Castagliola, P., Khoo, M. B. C. (2010). A combined synthetic &X chart for monitoring the process mean. International Journal of Production Research 48:7423–7436.
   Google Scholar
• Wu, Z., Spedding, T. A. (2000). A synthetic control chart for detecting small shifts in the process mean. Journal of Quality Technology 32:32–38.
   Google Scholar
• Yeong, W. C., Khoo, M. B. C., Lee, M. H., Rahim, M. A. (2013). Economic and economic statistical designs of the synthetic chart using loss functions. European Journal of Operational Research 228:571–581.
   Google Scholar
• Yeong, W. C., Khoo, M. B. C., Lee, M. H., Rahim, M. A. (2014). Economically optimal design of a multivariate synthetic T2 chart. Communications in Statistics – Simulation and Computation 43:1333–1361.
   Google Scholar
• Zhang, Y., Castagliola, P., Wu, Z., Khoo, M. B. C. (2011). The synthetic chart with estimated parameters. IIE Transactions 43:676–687.
   Google Scholar
• Zhang, S., Wu, Z. (2005). Design of control charts with supplementary runs rules. Computers & Industrial Engineering 49:76–97.
   Google Scholar