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Articles

Information visualization about changes of process mean and variance on (¯x, s) control chart

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Pages 496-510 | Received 01 Sep 2017, Accepted 15 Apr 2018, Published online: 26 Apr 2018

References

  • Akaike, H. (1974). A new look at the statistical model identification. IEEE Transaction on Automation Control, AC-19, 716–723.10.1109/TAC.1974.1100705
  • Antonio, F. B., Costa, M., & Machado, A. G. (2013). A single chart with supplementary runs rules for monitoring the mean vector and the covariance matrix of multivariate processes. Computers & Industrial Engineering, 66, 431–437.
  • Braun, W. J., & Han, L. (2017). Visualizing capability and stability on a single chart. Quality Technology & Quantitative Management, 14, 454–477.10.1080/16843703.2017.1304042
  • Butte, V. K., & Tang, L. C. (2010). Multivariate charting techniques: A review and a line-column approach. Quality and Reliability Engineering International, 26, 443–451.
  • Chao, M. T., & Cheng, S. W. (2008). On 2-D control charts. Quality Technology & Quantitative Management, 5, 243–261.10.1080/16843703.2008.11673399
  • Chen, G., & Cheng, S. W. (1998). Max chart: Combining X-bar chart and S chart. Statistica Sinica, 8, 263–271.
  • Chowdhury, S., Mukherjee, A., & Chakraborti, S. (2014). A new distribution-free control chart for joint monitoring of unknown location and scale parameters of continuous distributions. Quality and Reliability Engineering International, 30, 191–204.10.1002/qre.v30.2
  • Chowdhury, S., Mukherjee, A., & Chakraborti, S. (2015). Distribution-free Phase II CUSUM control chart for joint monitoring of location and scale. Quality and Reliability Engineering International, 31, 135–151.10.1002/qre.v31.1
  • Dogu, E. (2014). Change point estimation based statistical monitoring with variable time between events (TBE) control charts. Quality Technology & Quantitative Management, 11, 383–400.10.1080/16843703.2014.11673352
  • Gan, F. F. (1995). joint monitoring of process mean and variance using exponentially weighted moving average control charts. Technometrics, 37, 446–453.10.1080/00401706.1995.10484377
  • Gan, F. F., Ting, K. W., & Chang, T. C. (2004). Interval charting schemes for joint monitoring of process mean and variance. Quality and Reliability Engineering International, 20, 291–303.10.1002/(ISSN)1099-1638
  • Grant, E. L., & Leavenworth, R. S. (1996). Statistical quality control (7th ed.). New York, NY: McGraw-Hill.
  • Haridy, S., Rahim, M. A., Selim, S. Z., Wu, Z., & Benneyan, J. C. (2017). EWMA chart with curtailment for monitoring fraction nonconforming. Quality Technology & Quantitative Management, 14, 412–428.10.1080/16843703.2017.1304040
  • International Organization for Standardization. (1993). ISO7873: Control charts for arithmetic average with warning limits.
  • Kanagawa, A., Arizono, I., & Ohta, H. (1997). Design of the control chart based on Kullback-Leibler information. Frontiers in Statistical Quality Control, 5, 183–192.10.1007/978-3-642-59239-3
  • Kullback, S. (1959). Information theory and statistics. New York, NY: Wiley.
  • Li, C., Mukherjee, A., Su, Q., & Xie, M. (2016). Design and implementation of two CUSUM schemes for simultaneously monitoring the process mean and variance with unknown parameters. Quality and Reliability Engineering International, 32, 2961–2975.10.1002/qre.1980
  • Mahmoud, M. A., Henderson, G. R., Epprecht, E. K., & Woodall, W. H. (2010). Estimating the standard deviation in quality-control applications. Journal of Quality Technology, 42, 348–357.10.1080/00224065.2010.11917832
  • Mazza,  R. (2009). Introduction to information visualization. London: Springer-Verlag.
  • McCracken, A. K., & Chakraborti, S. (2013a). Control charts for joint monitoring of mean and variance: An overview. Quality Technology & Quantitative Management, 10, 17–36.10.1080/16843703.2013.11673306
  • McCracken, A. K., Chakraborti, S., & Mukherjee, A. (2013b). Control charts for simultaneous monitoring of unknown mean and variance of normally distributed processes. Journal of Quality Technology, 45, 360–376.10.1080/00224065.2013.11917944
  • Montgomery, D. C. (2005). Introduction to statistical quality control (5th ed.). Hoboken, NJ: John Wiley & Sons.
  • Mukherjee, A., & Marozzi, M. (2017). Distribution-free lepage type circular-grid charts for joint monitoring of location and scale parameters of a process. Quality and Reliability Engineering International, 33, 241–274.10.1002/qre.v33.2
  • Nelson, L. S. (1984). The Shewhart control chart: Test for special causes. Journal of Quality Technology, 16, 237–239.10.1080/00224065.1984.11978921
  • Nelson, L. S. (1985). Interpreting Shewhart X-bar control charts. Journal of Quality Technology, 17, 114–116.10.1080/00224065.1985.11978945
  • Prajapati, D. R., & Singh, S. (2015). Monitoring of process mean and variance simultaneously by joint and R chart for serial correlation. International Journal of Productivity and Quality Management, 16, 70–91.10.1504/IJPQM.2015.070193
  • Ralha, T., Morais, M. C., & Oliveira, M. R. (2015). On valid signals in joint schemes for the process mean and variance. Economic Quality Control, 30, 99–110.
  • Raubenheimer, L., & van der Merwe, A. J. (2016). Bayesian process control for the Phase II Shewart-type p-chart. Quality Technology & Quantitative Management, 13, 453–472.10.1080/16843703.2016.1191144
  • Takemoto, Y., & Arizono, I. (2005). A study of multivariate (¯X, S) control chart based on Kullback-Leibler information. International Journal of Advanced Manufacturing Technology, 25, 1205–1210.10.1007/s00170-003-1947-9
  • Takemoto, Y., Watakabe, K., & Arizono, I. (2003). A study of cumulative sum (¯x, s) control charts. International Journal of Production Research, 41, 1873–1886.10.1080/0020754031000118729
  • Takemoto, Y., Satoh, T., & Arizono, I. (2013). Discrimination of out-of-control condition using AIC in (¯x, s) control chart. Industrial Engineering & Management System, 12, 112–117.10.7232/iems.2013.12.2.112
  • Wang, R. F., Fu, X., Yuan, J. C., & Dong, Z. Y. (2018). Economic design of variable-parameter X-Shewhart control chart used to monitor continuous production. Quality Technology & Quantitative Management, 15, 106–124.10.1080/16843703.2017.1304037
  • Watakabe, K., & Arizono, I. (1999). The power of the (¯x, s) control chart based on the log-likelihood ratio statistic. Naval Research Logistics, 46, 928–951.10.1002/(ISSN)1520-6750
  • Western Electric Company. (1958). Statistical quality control handbook. Indianapolis, IN: Author.

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