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Original Articles

A Single EWMA Chart for Monitoring Process Mean and Process Variance

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Pages 295-305 | Received 01 Jan 2013, Accepted 01 Aug 2013, Published online: 09 Feb 2016

References

  • Chen, G., Cheng, S. W. and Xie, H. (2001). Monitoring process mean and variability with one EWMA chart. Journal of Quality Technology, 33, 223–233.
  • Chen, G., Cheng, S. W. and Xie, H. (2004). A new EWMA control chart for monitoring both location and dispersion. Quality Technology & Quantitative Management, 2, 217–231.
  • Costa, A. F. B. (1993). Joint economic design of X and R control charts for processes subject to two independent assignable causes. IIE-Transactions, 25, 27–33.
  • Costa, A. F. B (1999). Joint X¯ and R charts with variable sample sizes and sampling intervals. Journal of Quality Technology, 31, 387–397.
  • Costa, A. F. B. (1998). Joint X¯ and R control charts with variable parameters. IIE-Transactions, 25, 27–33.
  • Costa, A. F. B. and Rahim, M.A. (2000). Economic design of X and R charts under Weibull shock models. Quality and Reliability Engineering International, 16, 143–156.
  • Costa, A. F. B. and Rahim, M.A. (2004). Joint X and R charts with two stage samplings. Quality and Reliability Engineering-International, 20, 699–708.
  • Costa, A. F. B. and Rahim, M. A. (2005). The non-central chi-square chart with two-stage samplings. European Journal of Operational Research, 171, 64–73.
  • Crowder, S. V. and Hamilton, M. D. (1992). An EWMA for monitoring a process standard deviation. Journal of Quality Technology, 24, 12–21.
  • De Magalhäes M. S. and Neto, F. D. M. (2005). Joint economic model for totally adaptive X¯ and R charts. European Journal of Operational Research, 161, 148–161.
  • De Magalhäes MS, Costa, A. F. B. and Neto, F. D. M. (2005). Adaptive control charts: a Markovian approach for processes subject to independent out-of-control disturbances. International Journal of Production Economics, 99, 236–246.
  • Gan, F. F. (1995). Joint monitoring of process mean and variance using exponentially weighted moving average control charts. Technometrics, 37, 446–453.
  • Montgomery, D. C. (2004). Introduction to Statistical Quality Control, 5th edition. John Wiley & Sons, New York, NY.
  • Morais, M. C. and Pacheco, A. (2000). On the Performance of Combined EWMA Schemes for μ and σ : A Markov Approach. Communications in Statistics, Part B-Simulation and Computation, 29, 153–174.
  • Rahim, M. A. and Costa, A. F. B. (2000). Joint economic design of X¯ and R charts under Weibull shock models. International Journal of Production Research, 38, 2871–2889.
  • Reynolds, M. R. and Stoumbos, Z. G. (2001). Monitoring the process mean and variance using individual observations and variable sampling intervals. Journal of Quality Technology, 33, 181–205.
  • Reynolds, M. R. and Stoumbos, Z. G. (2004). Control charts and efficient allocation of sampling resources. Technometrics, 46, 200–214.
  • Roberts, S. W. (1959). Control chart tests based on geometric moving average. Technometrics, 1, 239–250.
  • Saccucci, M. S. and Lucas, J. M. (1990). Average run length for exponentially weighted moving average control schemes using the Markov chain approach. Journal of Quality Technology, 22, 154–162.
  • Shewhart, W. A. (1931). Economic Quality Control of Manufactured Product, Van Nostrand , New York.
  • Shewhart, W. A. (1939). Statistical Method from the Viewpoint of Quality Control, Dover Publications, New York.

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