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Articles

Monitoring process mean and dispersion with one double generally weighted moving average control chart

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Pages 19-42 | Received 15 May 2021, Accepted 04 Sep 2021, Published online: 23 Sep 2021

References

  • V. Alevizakos, C. Koukouvinos, and K. Chatterjee, A nonparametric double generally weighted moving average signed-rank control chart for monitoring process location, Qual. Reliab. Eng. Int. 36 (2020), pp. 2441–2458.
  • V. Alevizakos, C. Koukouvinos, and A. Lappa, Monitoring of time between events with a double generally weighted moving average control chart, Qual. Reliab. Eng. Int. 35 (2019), pp. 685–710.
  • K. Chatterjee, C. Koukouvinos, and A. Lappa, A sum of squares triple exponentially weighted moving average control chart, Qual. Reliab. Eng. Int. 37 (2021), pp. 2423–2457.
  • G. Chen and S.W. Cheng, MAX chart: Combining X-bar chart and S chart, Statist. Sinica. 8 (1998), pp. 263–271.
  • G. Chen, S.W. Cheng, and H. Xie, A new EWMA control chart for monitoring both location and dispersion, Qual. Technol. Quant. Manag. 1 (2004), pp. 217–231.
  • G. Chen, S.W. Cheng, and H. Xie, Monitoring process mean and variability with one EWMA chart, J. Qual. Technol. 33 (2001), pp. 223–233.
  • S.W. Cheng and K. Thaga, Single variables control charts: An overview, Qual. Reliab. Eng. Int. 22 (2006), pp. 811–820.
  • W.C. Chiu and S.H. Sheu, Fast initial response features for Poisson GWMA control charts, Commun. Statist. Simul. Comput. 37 (2008), pp. 1422–1439.
  • A.F.B. Costa and M.A. Rahim, Monitoring process mean and variability with one non-central chi-square chart, J. Appl. Stat. 31 (2004), pp. 1171–1183.
  • A.F.B. Costa and M.A. Rahim, A single EWMA chart for monitoring process mean and process variance, Qual. Technol. Quant. Manag. 3 (2006), pp. 295–305.
  • D. Han and F. Tsung, A reference-free cuscore chart for dynamic mean change detection and a unified framework for charting performance comparison, J. Amer. Statist. Assoc. 101 (2006),pp. 368–386.
  • A. Haq, A new maximum EWMA control chart for simultaneously monitoring process mean and dispersion using auxiliary information, Qual. Reliab. Eng. Int. 33 (2017), pp. 1577–1587.
  • A. Haq and F. Razzaq, Maximum weighted adaptive CUSUM charts for simultaneous monitoring of process mean and variance, J. Stat. Comput. Simul. 90 (2020), pp. 2949–2974.
  • C.J. Huang, A sum of squares generally weighted moving average control chart, Comm. Statist. Theor. Meth. 43 (2014), pp. 5052–5071.
  • C.J. Huang, S.H. Tai, and S.L. Lu, Measuring the performance improvement of a double generally weighted moving average control chart, Expert Syst. Appl. 41 (2014), pp. 3313–3322.
  • H.M. Karakani, S.W. Human, and J. Van Niekerk, A double generally weighted moving average exceedance control chart, Qual. Reliab. Eng. Int. 35 (2019), pp. 224–245.
  • M.B.C. Khoo, S.Y. Teh, and Z. Wu, Monitoring process mean and variability with one double EWMA chart, Comm. Statist. Theor. Meth. 39 (2010), pp. 3678–3694.
  • S.L. Lu, Non parametric double generally weighted moving average sign charts based on process proportion, Comm. Statist. Theor. Meth. 47 (2018), pp. 2684–2700.
  • K. Mabude, J.-C. Malela-Majika, P. Castagliola, and S. Shongwe, Generally weighted moving average monitoring schemes: Overview and perspectives, Qual. Reliab. Eng. Int. 37 (2021),pp. 409–432.
  • D.C. Montgomery, Introduction to Statistical Quality Control, 7th ed, Wiley, Hoboken, NJ, 2013.
  • E.S. Page, Continuous inspection schemes, Biometrika 41 (1954), pp. 100–115.
  • S.W. Roberts, Control chart tests based on geometric moving averages, Technometrics 3 (1959), pp. 239–250.
  • S.H. Sheu and Y.T. Hsieh, The extended GWMA control chart, J. Appl. Stat. 36 (2009),pp. 135–147.
  • S.H. Sheu, C.J. Huang, and T.S. Hsu, Maximum chi-square generally weighted moving average control chart for monitoring process mean and variability, Comm. Statist. Theor. Meth. 42 (2013), pp. 4323–4341.
  • S.H. Sheu, C.J. Huang, and T.S. Hsu, Extended maximum generally weighted moving average control chart for monitoring process mean and variability, Comput. Ind. Eng. 62 (2012),pp. 216–225.
  • S.H. Sheu and T.C. Lin, The generally weighted moving average control chart for detecting small shifts in the process mean, Qual. Eng. 16 (2003), pp. 209–231.
  • S.Y. Teh, M.B.C. Khoo, and Z. Wu, A sum of squares double exponentially weighted moving average chart, Comput. Ind. Eng. 61 (2011), pp. 1173–1188.
  • H. Xie, Contributions to qualimetry, Ph.D. Thesis, University of Manitoba, Winnipeg, Canada, 1999.
  • L. Zhang and G. Chen, An extended EWMA mean chart, Qual. Technol. Quant. Manag.2 (2005), pp. 39–52.

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