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Journal of Quality Technology
A Quarterly Journal of Methods, Applications and Related Topics
Volume 24, 1992 - Issue 1
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Articles

An EWMA for Monitoring a Process Standard Deviation

Stephen V. CrowderSandia National Laboratories, Albuquerque, NM87185View further author information
&
Marc D. HamiltonPrice Waterhouse, Costa Mesa, CA92628View further author information
Pages 12-21 | Published online: 21 Feb 2018

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Kashinath Chatterjee, Christos Koukouvinos & Angeliki Lappa. (2024) Monitoring process mean and variability with one triple EWMA chart. Communications in Statistics - Simulation and Computation 53:2, pages 611-641.
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Shashibhushan B. Mahadik, Dadasaheb G. Godase & W. L. Teoh. (2021) A two-sided SPRT control chart for process dispersion. Journal of Statistical Computation and Simulation 91:17, pages 3603-3614.
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Vasileios Alevizakos, Kashinath Chatterjee, Christos Koukouvinos & Angeliki Lappa. (2021) A S 2-GWMA control chart for monitoring the process variability. Quality Engineering 33:3, pages 533-551.
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Willy Ugaz, Andrés M. Alonso & Ismael Sánchez. (2021) Adaptive EWMA-S2 control charts with adaptive smoothing parameter. Quality Engineering 33:1, pages 100-112.
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Abdul Haq. (2020) A maximum adaptive exponentially weighted moving average control chart for monitoring process mean and variability. Quality Technology & Quantitative Management 17:1, pages 16-31.
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Nasir Abbas, Usman Saeed, Muhammad Riaz & Saddam Akber Abbasi. (2020) On designing an assorted control charting approach to monitor process dispersion: an application to hard-bake process. Journal of Taibah University for Science 14:1, pages 65-76.
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John Lawson. (2019) Phase II monitoring of variability using Cusum and EWMA charts with individual observations. Quality Engineering 31:3, pages 417-429.
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Qin Zhou, Lianjie Shu & Wei Jiang. (2016) One-sided EWMA control charts for monitoring Poisson processes with varying sample sizes. Communications in Statistics - Theory and Methods 45:20, pages 6112-6132.
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Chi-Jui Huang. (2015) A New GWMA Control Chart for Monitoring Process Mean and Variability. Communications in Statistics - Theory and Methods 44:18, pages 3841-3856.
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Sven Knoth. (2015) Run length quantiles of EWMA control charts monitoring normal mean or/and variance. International Journal of Production Research 53:15, pages 4629-4647.
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Shey-Huei Sheu, Chi-Jui Huang & Tsung-Shin Hsu. (2013) Maximum Chi-Square Generally Weighted Moving Average Control Chart for Monitoring Process Mean and Variability. Communications in Statistics - Theory and Methods 42:23, pages 4323-4341.
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MichaelB. C. Khoo, S. Y. Teh & Zhang Wu. (2010) Monitoring Process Mean and Variability with One Double EWMA Chart. Communications in Statistics - Theory and Methods 39:20, pages 3678-3694.
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Anne G. Ryan & William H. Woodall. (2010) Control Charts for Poisson Count Data with Varying Sample Sizes. Journal of Quality Technology 42:3, pages 260-275.
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RonaldD. Fricker$suffix/text()$suffix/text(), MatthewC. Knitt & CeciliaX. Hu. (2008) Comparing Directionally Sensitive MCUSUM and MEWMA Procedures with Application to Biosurveillance. Quality Engineering 20:4, pages 478-494.
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Lianjie Shu & Wei Jiang. (2008) A New EWMA Chart for Monitoring Process Dispersion. Journal of Quality Technology 40:3, pages 319-331.
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Douglas M. Hawkins & Edgard M. Maboudou-Tchao. (2008) Multivariate Exponentially Weighted Moving Covariance Matrix. Technometrics 50:2, pages 155-166.
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M. H. Lee & MichaelB. C. Khoo. (2006) Optimal Statistical Design of a Multivariate EWMA Chart Based on ARL and MRL. Communications in Statistics - Simulation and Computation 35:3, pages 831-847.
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Marion R Reynolds$suffix/text()$suffix/text() & Zachary G Stoumbos. (2005) Should Exponentially Weighted Moving Average and Cumulative Sum Charts Be Used With Shewhart Limits?. Technometrics 47:4, pages 409-424.
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Douglas M. Hawkins & K. D. Zamba. (2005) A Change-Point Model for a Shift in Variance. Journal of Quality Technology 37:1, pages 21-31.
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Lingyun Zhang & Gemai Chen. (2004) EWMA Charts for Monitoring the Mean of Censored Weibull Lifetimes. Journal of Quality Technology 36:3, pages 321-328.
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Christian Sonesson. (2003) Evaluations of some Exponentially Weighted Moving Average methods. Journal of Applied Statistics 30:10, pages 1115-1133.
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Stephen M. Scariano & Jaimie L. Hebert. (2003) Adapting EWMA Control Charts for Batch-Correlated Data. Quality Engineering 15:4, pages 545-556.
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Maria E. Calzada & Stephen M. Scariano. (2003) Reconciling the Integral Equation and Markov Chain Approaches for Computing EWMA Average Run Lengths. Communications in Statistics - Simulation and Computation 32:2, pages 591-604.
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Maria E. Calzada & Stephen M. Scariano. (2003) The Robustness of the MaxEWMA Chart to Non-normality. Communications in Statistics - Simulation and Computation 32:2, pages 573-590.
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Raid Amin & Kuiyuan Li. (2002) The effect of autocorrelation on the ewma maxmin tolerance limits. Journal of Statistical Computation and Simulation 72:9, pages 719-735.
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S. J. Lee & Ping Sa. (2001) Tolerance limits as a continuous assessment tool. Total Quality Management 12:4, pages 491-510.
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Gemai Chen, Smiley W. Cheng & Hansheng Xie. (2001) Monitoring Process Mean and Variability with One EWMA Chart. Journal of Quality Technology 33:2, pages 223-233.
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Lan Kang & Susan L. Albin. (2000) On-Line Monitoring When the Process Yields a Linear Profile. Journal of Quality Technology 32:4, pages 418-426.
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Lai K. Chan & Jian Zhang. (2000) Some issues in the design of EWMA Charts. Communications in Statistics - Simulation and Computation 29:1, pages 201-217.
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Manuel Cabral Morais & António Pacheco. (2000) On the performance of combined EWMA schemes for μ and σ: a markovian approach. Communications in Statistics - Simulation and Computation 29:1, pages 153-174.
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Chao-Wen Lu & Marion R. Reynolds$suffix/text()$suffix/text(). (1999) Control Charts for Monitoring the Mean and Variance of Autocorrelated Processes. Journal of Quality Technology 31:3, pages 259-274.
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CESARA. ACOSTA-MEJIA, JOSEPHJ. PIGNATIELLO$suffix/text()$suffix/text() & B. VENKATESHWARA RAO. (1999) A comparison of control charting procedures for monitoring process dispersion. IIE Transactions 31:6, pages 569-579.
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Joseph T. Chang & Ronald D. Fricker$suffix/text()$suffix/text(). (1999) Detecting When a Monotonically Increasing Mean Has Crossed a Threshold. Journal of Quality Technology 31:2, pages 217-234.
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Raid W. Amin, Hans Wolff, Werner Besenfelder & Robert Baxley$suffix/text()$suffix/text(). (1999) EWMA Control Charts for the Smallest and Largest Observations. Journal of Quality Technology 31:2, pages 189-206.
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CESARA. ACOSTA-MEJIA. (1998) Monitoring reduction in variability with the range. IIE Transactions 30:6, pages 515-523.
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Manuel Cabral Morais & Antònio Pacheco. (1998) Two stochastic properties of one‐sided exponentially weighted moving average control charts∗. Communications in Statistics - Simulation and Computation 27:4, pages 937-952.
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M.S. Srivastava. (1997) Cusum procedure for monitoring variability. Communications in Statistics - Theory and Methods 26:12, pages 2905-2926.
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F.F. Gan. (1995) Joint Monitoring of Process Mean and Variance Using Exponentially Weighted Moving Average Control Charts. Technometrics 37:4, pages 446-453.
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T. C. Chang & F. F. Gan. (1995) A Cumulative Sum Control Chart for Monitoring Process Variance. Journal of Quality Technology 27:2, pages 109-119.
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J. SPOERRE & H.-P. BEN WANG. (1995) Machine performance monitoring and fault classification using an exponentially weighted moving average scheme. International Journal of Production Research 33:2, pages 445-463.
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Cynthia A. Lowry, Charles W. Champ & William H. Woodall. (1995) The performance of control charts for monitoring process variation. Communications in Statistics - Simulation and Computation 24:2, pages 409-437.
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T. C Chang & F. F Gan. (1994) Optimal designs of one-sided ewma charts for monitoring a process variance. Journal of Statistical Computation and Simulation 49:1-2, pages 33-48.
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J. F. Macgregor & T. J. Harris. (1993) The Exponentially Weighted Moving Variance. Journal of Quality Technology 25:2, pages 106-118.
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Marc D. Hamilton & Stephen V. Crowder. (1992) Average Run Lengths of EWMA Control Charts for Monitoring a Process Standard Deviation. Journal of Quality Technology 24:1, pages 44-50.
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