Effect of measurement error on joint monitoring of process mean and coefficient of variation

References

• Arif, F., M. Noor-Ul-Amin, and M. Hanif. 2020a. Joint monitoring of mean and variance using likelihood ratio test statistic with measurement error. Quality Technology & Quantitative Management 1–23. doi:10.1080/16843703.2020.1819138.
   Web of Science ®Google Scholar
• Arif, F., M. Noor-Ul-Amin, and M. Hanif. 2020b. Joint monitoring of mean and variance under double ranked set sampling using likelihood ratio test statistic. Communications in Statistics-Theory and Methods 1–17. doi:10.1080/03610926.2020.1851721.
   Web of Science ®Google Scholar
• Bao, Y. 2009. Finite-sample moments of the coefficient of variation. Econometric Theory 25 (1):291–97. doi:10.1017/S0266466608090555.
   Web of Science ®Google Scholar
• Bennett, C. A. 1954. Effect of measurement error on chemical process control. Industrial Quality Control 10 (4):17–20.
   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
• Chen, R., Z. Li, and J. Zhang. 2019. A generally weighted moving average control chart for monitoring the coefficient of variation. Applied Mathematical Modelling 70:190–205. doi:10.1016/j.apm.2019.01.034.
   Web of Science ®Google Scholar
• Costa, A., and M. Rahim. 2006. A single EWMA chart for monitoring process mean and process variance. Quality Technology & Quantitative Management 3 (3):295–305.
   Google Scholar
• Dogu, E. 2015. Identifying the time of a step change with multivariate single control charts. Journal of Statistical Computation and Simulation 85 (8):1529–43. doi:10.1080/00949655.2014.880704.
   Web of Science ®Google Scholar
• Doğu, E., and İ. D. Kocakoç. 2013. A multivariate change point detection procedure for monitoring mean and covariance simultaneously. Communications in Statistics - Simulation and Computation 42 (6):1235–55. doi:10.1080/03610918.2012.661907.
   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
   Google Scholar
• Hong, E. P., H. W. Kang, and C. W. Kang. 2011. DEWMA control chart for the coefficient of variation. In Advanced materials research. Vol. 201, 1682–88. Trans Tech Publications Ltd.
   Google Scholar
• Javaid, A., M. Noor-Ul-Amin, and M. Hanif. 2020a. A new Max-HEWMA control chart using auxiliary information. Communications in Statistics - Simulation and Computation 49 (5):1285–305. doi:10.1080/03610918.2018.1494282.
   Web of Science ®Google Scholar
• Javaid, A., M. Noor-Ul-Amin, and M. Hanif. 2020b. Performance of Max-EWMA control chart for joint monitoring of mean and variance with measurement error. Communications in Statistics-Simulation and Computational Statistics 1–26. doi:10.1080/03610918.2020.1842886.
   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):151–58. doi:10.1080/00224065.2007.11917682.
   Web of Science ®Google Scholar
• Khaw, K. W., M. B. Khoo, W. C. Yeong, and Z. Wu. 2017. Monitoring the coefficient of variation using a variable sample size and sampling interval control chart. Communications in Statistics - Simulation and Computation 46 (7):5772–94. doi:10.1080/03610918.2016.1177074.
   Web of Science ®Google Scholar
• Khoo, M. B., S. Teh, and Z. Wu. 2010. Monitoring process mean and variability with one double EWMA chart. Communications in Statistics - Theory and Methods 39 (20):3678–94. doi:10.1080/03610920903324866.
   Web of Science ®Google Scholar
• Linna, K. W., and W. H. Woodall. 2001. Effect of measurement error on Shewhart control charts. Journal of Quality Technology 33 (2):213–22. doi:10.1080/00224065.2001.11980068.
   Web of Science ®Google Scholar
• Maravelakis, P., J. Panaretos, and S. Psarakis. 2004. EWMA chart and measurement error. Journal of Applied Statistics 31 (4):445–55. doi:10.1080/02664760410001681738.
   Web of Science ®Google Scholar
• Maravelakis, P. E. 2012. Measurement error effect on the CUSUM control chart. Journal of Applied Statistics 39 (2):323–36. doi:10.1080/02664763.2011.590188.
   Web of Science ®Google Scholar
• Mittag, H.-J., and D. Stemann. 1998. Gauge imprecision effect on the performance of the XS control chart. Journal of Applied Statistics 25 (3):307–17. doi:10.1080/02664769823043.
   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 and Management Systems 126:378–98.
   Web of Science ®Google Scholar
• Noor-Ul-Amin, M., F. Arif, and M. Hanif. 2019a. Joint Monitoring of Mean and Variance Using Likelihood Ratio Test Statistic Under Pair Ranked Set Sampling Scheme. Iranian Journal of Science and Technology, Transactions A: Science 43 (5):2449–60. doi:10.1007/s40995-019-00718-0.
   Web of Science ®Google Scholar
• Noor‐Ul‐Amin, M., S. Tariq, and M. Hanif. 2019b. Control charts for simultaneously monitoring of process mean and coefficient of variation with and without auxiliary information. Quality and Reliability Engineering International 35 (8):2639–56. doi:10.1002/qre.2546.
   Web of Science ®Google Scholar
• Park, H. I. 2014. Combined charts for the mean and variance. Paper presented at the Advanced Materials Research. doi:10.4028/www.scientific.net/AMR.909.352.
   Google Scholar
• Reed, G. F., F. Lynn, and B. D. Meade. 2002. Use of coefficient of variation in assessing variability of quantitative assays. Clinical and Diagnostic Laboratory Immunology 9 (6):1235–39. doi:10.1128/cdli.9.6.1235-1239.2002.
   PubMedGoogle Scholar
• Riaz, A., and M. Noor-Ul-Amin. 2020. Improved simultaneous monitoring of mean and coefficient of variation under ranked set sampling schemes. Communications in Statistics-Simulation Computational Statistics 1–17. doi:10.1080/03610918.2020.1742355.
   Web of Science ®Google Scholar
• Roberts, S. 1959. Control chart tests based on geometric moving averages. Technometrics 1 (3):239–50. doi:10.1080/00401706.1959.10489860.
   Google Scholar
• Teh, S., M. B. Khoo, and Z. Wu. 2012. Monitoring process mean and variance with a single generally weighted moving average chart. Communications in Statistics - Theory and Methods 41 (12):2221–41. doi:10.1080/03610926.2011.558659.
   Web of Science ®Google Scholar
• Tran, K. P., C. Heuchenne, and N. Balakrishnan. 2019. On the performance of coefficient of variation charts in the presence of measurement errors. Quality and Reliability Engineering International 35 (1):329–50. doi:10.1002/qre.2402.
   Web of Science ®Google Scholar
• Tran, K. P., H. Nguyen, Q. T. Nguyen, and W. Chattinnawat. 2018. One-sided synthetic control charts for monitoring the coefficient of variation with measurement errors. Paper presented at the 2018 IEEE international conference on industrial engineering and engineering management (IEEM). doi:10.1109/IEEM.2018.8607320.
   Google Scholar
• Wortham, A., and L. Ringer. 1971. Control via exponential smoothing. The Logistics Review 7 (32):33–40.
   Google Scholar
• Yeong, W. C., M. B. C. Khoo, S. L. Lim, and W. L. Teoh. 2017. The coefficient of variation chart with measurement error. Quality Technology & Quantitative Management 14 (4):353–77.
   Web of Science ®Google Scholar
• You, H. W., M. B. 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.
   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.
   Web of Science ®Google Scholar
• Zhang, J., C. Zou, and Z. Wang. 2010. A control chart based on likelihood ratio test for monitoring process mean and variability. Quality and Reliability Engineering International 26 (1):63–73. doi:10.1002/qre.1036.
   Web of Science ®Google Scholar