The performance of double exponentially weighted moving average control charts for monitoring the coefficient of variation

References

• Alevizakos, V, and C. Koukouvinos. 2020. A double exponentially weighted moving average chart for time between events. Communications in Statistics–Simulation and Computation 49 (10):2765–84. doi: 10.1080/03610918.2018.1532516.
   Web of Science ®Google Scholar
• Barr, D. R, and E. T. Sherrill. 1999. Mean and variance of truncated normal distributions. The American Statistician 53 (4):357–61. doi: 10.1080/00031305.1999.10474490.
   Web of Science ®Google Scholar
• Breunig, R. 2001. An almost unbiased estimator of the coefficient of variation. Economics Letters 70 (1):15–9. doi: 10.1016/S0165-1765(00)00351-7.
   Web of Science ®Google Scholar
• Calzada, M. E, and S. M. Scariano. 2013. A synthetic control chart for the coefficient of variation. Journal of Statistical Computation and Simulation 83 (5):853–67. doi: 10.1080/00949655.2011.639772.
   Web of Science ®Google Scholar
• Castagliola, P., A. Achouri, H. Taleb, G. Celano, and S. Psarakis. 2013. Monitoring the coefficient of variation using a variable sampling interval control chart. Quality and Reliability Engineering International 29 (8):1135–49. doi: 10.1002/qre.1465.
   Web of Science ®Google Scholar
• Castagliola, P., A. Achouri, H. Taleb, G. Celano, and S. Psarakis. 2015. Monitoring the coefficient of variation using a variable sample size control chart. The International Journal of Advanced Manufacturing Technology 80 (9–12):1561–76. doi: 10.1007/s00170-015-6985-6.
   Web of Science ®Google Scholar
• Castagliola, P., G. Celano, and S. Psarakis. 2011. Monitoring the coefficient of variation using EWMA charts. Journal of Quality Technology 43 (3):249–65. doi: 10.1080/00224065.2011.11917861.
   Web of Science ®Google Scholar
• Hamilton, M. D, and S. V. Crowder. 1992. Average run lengths of EWMA control charts for monitoring a process standard deviation. Journal of Quality Technology 24 (1):44–50. doi: 10.1080/00224065.1992.11979373.
   Web of Science ®Google Scholar
• Haq, A., N. Bibi, and M. B. Chong Khoo. 2020. Enhanced EWMA charts for monitoring the process coefficient of variation. Quality and Reliability Engineering International 36 (7):2478–94. doi: 10.1002/qre.2710.
   Web of Science ®Google Scholar
• Hong, E.-P., C.-W. Kang, J.-W. Baek, and H.-W. Kang. 2008. Development of CV control chart using EWMA technique. Journal of the Society of Korea Industrial and Systems Engineering 31 (4):114–20.
   Google Scholar
• Iglewicz, B., R. H. Myers, and R. B. Howe. 1968. On the percentage points of the sample coefficient of variation. Biometrika 55 (3):580–1. doi: 10.1093/biomet/55.3.580.
   Web of Science ®Google Scholar
• Kang, C. W., M. S. Lee, Y. J. Seong, and D. M. Hawkins. 2007. A control chart for the coefficient of variation. Journal of Quality Technology 39 (2):151–8. doi: 10.1080/00224065.2007.11917682.
   Web of Science ®Google Scholar
• Mahmoud, M. A, and W. H. Woodall. 2010. An evaluation of the double exponentially weighted moving average control chart. Communications in Statistics - Simulation and Computation 39 (5):933–49. doi: 10.1080/03610911003663907.
   Web of Science ®Google Scholar
• Muhammad, A. N. B., W. C. Yeong, Z. L. Chong, S. L. Lim, and M. B. C. Khoo. 2018. Monitoring the coefficient of variation using a variable sample size EWMA chart. Computers & Industrial Engineering 126:378–98. doi: 10.1016/j.cie.2018.09.045.
   Web of Science ®Google Scholar
• Shamma, S, and A. K. Shamma. 1992. Development and evaluation of control charts using double exponentially weighted moving averages. International Journal of Quality & Reliability Management 9 (6):18–25.
   Google Scholar
• Shamma, S. E., R. W. Amin, and A. K. Shamma. 1991. A double exponentially weigiited moving average control procedure with variable sampling intervals. Communications in Statistics - Simulation and Computation 20 (2-3):511–28. doi: 10.1080/03610919108812969.
   Web of Science ®Google Scholar
• Shu, L, and W. Jiang. 2008. A new EWMA chart for monitoring process dispersion. Journal of Quality Technology 40 (3):319–31. doi: 10.1080/00224065.2008.11917737.
   Web of Science ®Google Scholar
• Teoh, W. L., M. B. C. Khoo, P. Castagliola, W. C. Yeong, and S. Y. Teh. 2017. Run-sum control charts for monitoring the coefficient of variation. European Journal of Operational Research 257 (1):144–58. doi: 10.1016/j.ejor.2016.08.067.
   Web of Science ®Google Scholar
• Tran, P. H, and C. Heuchenne. 2021. Monitoring the coefficient of variation using variable sampling interval CUSUM control charts. Journal of Statistical Computation and Simulation 91 (3):501–21. doi: 10.1080/00949655.2020.1819278.
   Web of Science ®Google Scholar
• Tran, P. H, and K. P. Tran. 2016. The efficiency of CUSUM schemes for monitoring the coefficient of variation. Applied Stochastic Models in Business and Industry 32 (6):870–81. doi: 10.1002/asmb.2213.
   Web of Science ®Google Scholar
• Yeong, W. C., M. B. C. Khoo, L. K. Tham, W. L. Teoh, and M. A. Rahim. 2017. Monitoring the coefficient of variation using a variable sampling interval EWMA chart. Journal of Quality Technology 49 (4):380–401. doi: 10.1080/00224065.2017.11918004.
   Web of Science ®Google Scholar
• You, H. W., M. B. C. Khoo, P. Castagliola, and A. Haq. 2016. Monitoring the coefficient of variation using the side sensitive group runs chart. Quality and Reliability Engineering International 32 (5):1913–27. doi: 10.1002/qre.1922.
   Web of Science ®Google Scholar
• Zhang, J., Z. Li, B. Chen, and Z. Wang. 2014. A new exponentially weighted moving average control chart for monitoring the coefficient of variation. Computers & Industrial Engineering 78:205–12. doi: 10.1016/j.cie.2014.09.027.
   Web of Science ®Google Scholar
• Zhang, J., Z. Li, and Z. Wang. 2018. Control chart for monitoring the coefficient of variation with an exponentially weighted moving average procedure. Quality and Reliability Engineering International 34 (2):188–202. doi: 10.1002/qre.2247.
   Web of Science ®Google Scholar
• Zhang, L., K. Govindaraju, C. D. Lai, and M. S. Bebbington. 2003. Poisson DEWMA Control Chart. Communications in Statistics - Simulation and Computation 32 (4):1265–83. doi: 10.1081/SAC-120023889.
   Web of Science ®Google Scholar