The effect of measurement errors on the performance of the homogenously weighted moving average X¯ monitoring scheme with estimated parameters

References

• Montgomery DC. Statistical quality control: a modern introduction. Singapore: John Wiley & Sons Singapore Pte. Ltd; 2009.
   Google Scholar
• Qiu P. Introduction to statistical process control. Baton Rouge: Chapman & Hall; 2014.
   Google Scholar
• Aslam M, Saghir A, Ahmad L. Introduction to statistical process control. New York: Wiley; 2020.
   Google Scholar
• Noor-ul-Amin M, Tayyab M. Enhancing the performance of exponential weighted moving average control chart using paired double ranked set sampling. J Stat Comput Simul. 2020;90(6):1118–1130.
   Web of Science ®Google Scholar
• Awais M, Haq A. An EWMA chart for monitoring the process mean. J Stat Comput Simul. 2018;88(5):1003–1025.
   Web of Science ®Google Scholar
• Mabude K, Malela-Majika J-C, Castagliola P, et al. Generally weighted moving average monitoring schemes – overview and perspectives. Qual Reliab Eng Int. 2020. DOI:10.1002/qre.2765
   Web of Science ®Google Scholar
• Abbas N. Homogeneously weighted moving average control chart with an application in substrate manufacturing process. Comp Industr Eng. 2018;120:460–470.
   Web of Science ®Google Scholar
• Adegoke NA, Smith ANH, Anderson MJ, et al. Efficient homogeneously weighted moving average chart for monitoring process mean using an auxiliary variable. IEEE Access. 2019;7:94021–94032.
   Web of Science ®Google Scholar
• Nawaz T, Han D. Monitoring the process location by using new ranked set sampling based memory control charts. Qual Tech Quant Manag. 2020;17(3):255–284.
   Web of Science ®Google Scholar
• Abid M, Shabbir A, Nazir HZ, et al. A double homogeneously weighted moving average control chart for monitoring of the process mean. Qual Reliab Eng Int. 2020;36(5):1513–1527.
   Web of Science ®Google Scholar
• Adeoti OA, Koleoso SO. A hybrid homogeneously weighted moving average control chart for process monitoring. Qual Reliab Eng Int. 2020;36(6):2170–2186.
   Web of Science ®Google Scholar
• Abid M, Mei S, Nazir HZ, et al. A mixed HWMA-CUSUM mean chart with an application to manufacturing process. Qual Reliab Eng Int. 2020. DOI:10.1002/qre.2752
   Web of Science ®Google Scholar
• Dawod A, Adegoke NA, Abbasi SA. Efficient linear profile schemes for monitoring bivariate correlated processes with applications in the pharmaceutical industry. Chem Lab Syst. 2020;206:104137.
   Web of Science ®Google Scholar
• Adegoke NA, Abbasi SA, Smith ANH, et al. A multivariate homogeneously weighted moving average control chart. IEEE Access. 2019;7:9586–9597.
   Web of Science ®Google Scholar
• Abbas N, Riaz M, Ahmad S, et al. On the efficient monitoring of multivariate processes with unknown parameters. Mathematics. 2020;8(5):823. DOI:10.3390/math8050823.
   Web of Science ®Google Scholar
• Raza M, Nawaz T, Han D. On designing distribution-free homogeneously weighted moving average control charts. J Test Eval. 2020;48(4):3154–3171.
   Web of Science ®Google Scholar
• Mehmood R, Qazi MS, Riaz M. On the performance of X control chart for known and unknown parameters supplemented with runs rules under different probability distributions. J Stat Comput Simul. 2018;88(4):675–711.
   Web of Science ®Google Scholar
• Hu XL, Castagliola P, Tang AA. Conditional design of the CUSUM median chart for the process position when process parameters are unknown. J Stat Comput Simul. 2019;89(13):2468–2488.
   Web of Science ®Google Scholar
• Mehmood R, Lee MH, Afzel A, et al. Generalized skewness correction structure of control chart for unknown process parameters and skewed probability distributions. J Stat Comput Simul. 2020;90(8):1349–1372.
   Web of Science ®Google Scholar
• Does RJMM, Goedhart R, Woodall WH. On the design of control charts with guaranteed conditional performance under estimated parameters. Qual Reliab Eng Int. 2020. DOI:10.1002/qre.2658
   Web of Science ®Google Scholar
• Maleki MR, Amiri A, Castagliola P. Measurement errors in statistical process monitoring: A literature review. Comp Industr Eng. 2017;103:316–329.
   Web of Science ®Google Scholar
• Linna KW, Woodall WH. Effect of measurement error on Shewhart control charts. J Qual Tech. 2001;33(2):213–222.
   Web of Science ®Google Scholar
• Cheng X-B, Wang F-K. VSSI median control chart with estimated parameters and measurement errors. Qual Reliab Eng Int. 2018;34(5):867–881.
   Web of Science ®Google Scholar
• Tang AA, Castagliola P, Hu XL, et al. The performance of the adaptive EWMA median chart in the presence of measurement error. Qual Reliab Eng Int. 2019;35(1):423–438.
   Web of Science ®Google Scholar
• Riaz A, Noor-ul-Amin M, Shehzad MA, et al. Auxiliary information based mixed EWMA-CUSUM mean control chart with measurement error. Iran J Sci Tech Trans A. 2019;43(6):2937–2949.
   Google Scholar
• Shongwe SC, Malela-Majika J-C, Castagliola P. A combined mixed-s-skip sampling strategy to reduce the effect of autocorrelation on the X¯ scheme with and without measurement errors. J Appl Stat. 2020. DOI:10.1080/02664763.2020.1759033.
   Web of Science ®Google Scholar
• Saha S, Khoo MBC, Castagliola P, et al. Side-sensitive modified group runs charts with and without measurement errors for monitoring the coefficient of variation. Qual Reliab Eng Int. 2020. DOI: 10.1002/qre.2751.
   Web of Science ®Google Scholar
• Tran PH, Heuchenne C, Nguyen H-D, et al. Monitoring coefficient of variation using one-sided run rules control charts in the presence of measurement errors. J Appl Stat. 2020. DOI: 10.1080/02664763.2020.1787356.
   Web of Science ®Google Scholar
• Asif F, Khan S, Noor-ul-Amin M. Hybrid exponentially weighted moving average control chart with measurement error. Iran J Sci Tech Trans. 2020;44(3):801–811.
   Web of Science ®Google Scholar
• Noor-ul-Amin M, Javaid A, Hanif M, et al. Performance of maximum EWMA control chart in the presence of measurement error using auxiliary information. Comm Stat Simul Comput. 2020. DOI: 10.1080/03610918.2020.1772301.
   Web of Science ®Google Scholar
• Nguyen H-D, Tran KP, Celano G, et al. On the effect of the measurement error on Shewhart t and EWMA t control charts. Int J Adv Manuf Tech. 2020;107(1-4):4317–4332.
   Web of Science ®Google Scholar
• Maravelakis P, Panaretos J, Psarakis S. EWMA chart and measurement error. J Appl Stat. 2004;31(4):445–455.
   Web of Science ®Google Scholar
• Maravelakis P. Measurement error on the CUSUM control chart. J Appl Stat. 2012;39(2):323–336.
   Web of Science ®Google Scholar
• Costa AFB, Castagliola P. Effect of measurement error and autocorrelation on the chart. J Appl Stat. 2011;38(4):661–673.
   Web of Science ®Google Scholar
• Abbasi SA. Exponentially weighted moving average chart and two-component measurement error. Qual Reliab Eng Int. 2016;32(2):499–504.
   Web of Science ®Google Scholar