One-sided synthetic control charts for monitoring the multivariate coefficient of variation

References

• Teoh W, Khoo M, Castagliola P, et al. Run-sum control charts for monitoring the coefficient of variation. Eur J Oper Res. 2017;257(1):144–158. doi: 10.1016/j.ejor.2016.08.067
   Web of Science ®Google Scholar
• Tran P, Tran KP. The efficiency of CUSUM schemes for monitoring the coefficient of variation. Appl Stoch Models Bus Ind. 2016;32(6):870–881. doi: 10.1002/asmb.2213
   Web of Science ®Google Scholar
• Calzada ME, Scariano SM. A synthetic control chart for the coefficient of variation. J Stat Comput Simul. 2013;83(5):853–867. doi: 10.1080/00949655.2011.639772
   Web of Science ®Google Scholar
• Tran KP, Nguyen HD, Nguyen QT, et al. One-sided synthetic control charts for monitoring the coefficient of variation with measurement errors. 2018 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM), Bangkok, Thailand; Dec; 2018. p. 1667–1671.
   Google Scholar
• Zhang J, Li Z, Chen B, et al. A new exponentially weighted moving average control chart for monitoring the coefficient of variation. Comput Ind Eng. 2014;78:205–212. doi: 10.1016/j.cie.2014.09.027
   Web of Science ®Google Scholar
• Castagliola P, Celano G, Psarakis S. Monitoring the coefficient of variation using EWMA charts. J Qual Technol. 2011;43(3):249–265. doi: 10.1080/00224065.2011.11917861
   Web of Science ®Google Scholar
• Khaw KW, Khoo MB, Yeong WC, et al. Monitoring the coefficient of variation using a variable sample size and sampling interval control chart. Comm Statist Simul Comput. 2017;46(7):5772–5794. doi: 10.1080/03610918.2016.1177074
   Web of Science ®Google Scholar
• Yeong WC, Khoo MB, Lim SL, et al. A direct procedure for monitoring the coefficient of variation using a variable sample size scheme. Commun Statist Simul Comput. 2017;46(6):4210–4225. doi: 10.1080/03610918.2015.1109659
   Web of Science ®Google Scholar
• You HW, Khoo MB, Castagliola P, et al. Monitoring the coefficient of variation using the side sensitive group runs chart. Qual Reliab Eng Int. 2016;32(5):1913–1927. doi: 10.1002/qre.1922
   Web of Science ®Google Scholar
• Kang CW, Lee MS, Seong YJ, et al. A control chart for the coefficient of variation. J Qual Technol. 2007;39(2):151–158. doi: 10.1080/00224065.2007.11917682
   Web of Science ®Google Scholar
• Aerts S, Haesbroeck G, Ruwet C. Multivariate coefficients of variation: comparison and influence functions. J Multivar Anal. 2015;142:183–198. doi: 10.1016/j.jmva.2015.08.006
   Web of Science ®Google Scholar
• Yeong W, Khoo MBC, LTeoh W, et al. A control chart for the multivariate coefficient of variation. Qual Reliab Eng Int. 2016;32(3):1213–1225. doi: 10.1002/qre.1828
   Web of Science ®Google Scholar
• Lim AJ, Khoo MB, Teoh W, et al. Run sum chart for monitoring multivariate coefficient of variation. Comput Ind Eng. 2017;109:84–95. doi: 10.1016/j.cie.2017.04.023
   Web of Science ®Google Scholar
• Wu Z, Spedding T. A synthetic control chart for detecting small shifts in the process mean. J Qual Technol. 2000;32(1):32–38. doi: 10.1080/00224065.2000.11979969
   Web of Science ®Google Scholar
• Davis RB, Woodall WH. Evaluating and improving the synthetic control chart. J Qual Technol. 2002;34(2):200– 208. doi: 10.1080/00224065.2002.11980146
   Web of Science ®Google Scholar
• Chen F, Huang H. A synthetic control chart for monitoring process dispersion with sample range. Int J Adv Manuf Technol. 2005;26(7–8):842–851. doi: 10.1007/s00170-003-2010-6
   Web of Science ®Google Scholar
• Huang H, Chen F. A synthetic control chart for monitoring process dispersion with sample standard deviation. Comput Ind Eng. 2005;49(2):221–240. doi: 10.1016/j.cie.2004.11.001
   Web of Science ®Google Scholar
• Costa A, Rahim M. A synthetic control chart for monitoring the process mean and variance. J Qual Maint Eng. 2006;12(1):81–88. doi: 10.1108/13552510610654556
   Google Scholar
• Costa A, de Magalhaes M, Epprecht E. Monitoring the process mean and variance using a synthetic chart with two-stage testing. Int J Prod Res. 2009;47(18):5067–5086. doi: 10.1080/00207540802047098
   Web of Science ®Google Scholar
• Wu Z, Ou Y, Castagliola P, et al. A combined synthetic&X chart for monitoring the process mean. Int J Prod Res. 2010;48(24):7423–7436. doi: 10.1080/00207540903496681
   Web of Science ®Google Scholar
• Khoo M, Lee H, Wu Z, et al. A synthetic double sampling control chart for the process mean. IIE Trans. 2011;43(1):23–38. doi: 10.1080/0740817X.2010.491503
   Web of Science ®Google Scholar
• Zhang Y, Castagliola P, Wu Z, et al. The synthetic [xbar] chart with estimated parameters. IIE Trans. 2011;43(9):676–687. doi: 10.1080/0740817X.2010.549547
   Web of Science ®Google Scholar
• Nikulin M, Voinov V. Unbiased estimators and their applications. In: Lovric, M, editor. International encyclopedia of statistical science. Berlin: Springer; 2011. p. 1619–1621.
   Google Scholar
• You H, Khoo MB, Castagliola P, et al. Side sensitive group runs x̄ chart with estimated process parameters. Comput Stat. 2015;30(4):1245–1278. doi: 10.1007/s00180-015-0573-y
   Web of Science ®Google Scholar
• Neuts M. Matrix-geometric solutions in stochastic models: an algorithmic approach. Baltimore, MD: Johns Hopkins University Press; 1981.
   Google Scholar
• Latouche G, Ramaswami V. Introduction to matrix analytic methods in stochastic modelling. Philadelphia, PA: SIAM; 1999. (Series on Statistics and Applied Probability).
   Google Scholar
• Darroch J, Seneta E. On quasi-stationary distributions in absorbing discrete-time finite markov chains. J Appl Probab. 1965;2(1):88–100. doi: 10.2307/3211876
   Google Scholar
• Celano G, Castagliola P, Nenes G, et al. Performance of t control charts in short runs with unknown shift sizes. Comput Ind Eng. 2013;64:56–68. doi: 10.1016/j.cie.2012.10.003
   Web of Science ®Google Scholar
• Khaw KW, Khoo MB, Castagliola P, et al. New adaptive control charts for monitoring the multivariate coefficient of variation. Comput Ind Eng. 2018;126:595–610. doi: 10.1016/j.cie.2018.10.016
   Web of Science ®Google Scholar