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A new CUSUM‐S2 control chart for monitoring the process variance
11 references·16 citing·37 second hop
A new CUSUM‐S2 control chart for monitoring the process variance (2009)A new CUSUM‐S2 control chart for monitori…A NewS2-EWMA Control Chart for Monitoring the Process Variance (2005)A NewS2-EWMA Control Chart fo…A comparison of control charting procedures for monitoring process dispersion (1999)A comparison of control chart…A Cumulative Sum Control Chart for Monitoring Process Variance (1995)A Cumulative Sum Control Char…Introduction to Statistical Quality Control (1992)Introduction to Statistical Q…Average Run Lengths of EWMA Control Charts for Monitoring a Process Standard Deviation (1992)Average Run Lengths of EWMA C…An EWMA for Monitoring a Process Standard Deviation (1992)An EWMA for Monitoring a Proc…Exponentially Weighted Moving Average Control Schemes: Properties and Enhancements (1990)Exponentially Weighted Moving…A Comparison of dispersion quality control charts (1987)A Comparison of dispersion qu…An Approach to the Probability Distribution of Cusum Run Length (1972)An Approach to the Probabilit…Controlling the Standard Deviation by Cusums and Warning Lines (1963)Controlling the Standard Devi…CONTINUOUS INSPECTION SCHEMES (1954)CONTINUOUS INSPECTION SCHEMESIntegrated economic design of quality control and maintenance management: Implications for managing manufacturing process (2021)Integrated economic design of…A new S2‐TEWMA control chart for monitoring process dispersion (2020)A new S2‐TEWMA control chart …A New HWMA Dispersion Control Chart with an Application to Wind Farm Data (2020)A New HWMA Dispersion Control…Enhanced generally weighted moving average variance charts for monitoring process variance with individual observations (2019)Enhanced generally weighted m…An adaptive EWMA chart with CUSUM accumulate error-based shift estimator for efficient process dispersion monitoring (2019)An adaptive EWMA chart with C…An adaptive approach to EWMA dispersion chart using Huber and Tukey functions (2019)An adaptive approach to EWMA …A Comparative Analysis of Robust Dispersion Control Charts with Application Related to Health Care Data (2019)A Comparative Analysis of Rob…New GWMA‐CUSUM control chart for monitoring the process dispersion (2018)New GWMA‐CUSUM control chart …A new adaptive EWMA control chart for monitoring the process dispersion (2018)A new adaptive EWMA control c…New EWMA control charts for monitoring process dispersion using auxiliary information (2017)New EWMA control charts for m…New cumulative sum control charts for monitoring process variability (2017)New cumulative sum control ch…New Exponentially Weighted Moving Average Control Charts for Monitoring Process Mean and Process Dispersion (2014)New Exponentially Weighted Mo…Memory‐Type Control Charts for Monitoring the Process Dispersion (2013)Memory‐Type Control Charts fo…ImprovedRandscontrol charts for monitoring the process variance (2013)ImprovedRandscontrol charts f…Improved Exponentially Weighted Moving Average Control Charts for Monitoring Process Mean and Dispersion (2013)Improved Exponentially Weight…Economic design of inspection strategies to monitor dispersion in short production runs (2010)Economic design of inspection…Optimal Properties of Exponentially Weighted Forecasts (1960)A Multivariate Exponentially Weighted Moving Average Control Chart (1992)A review of multivariate control charts (1995)Research Issues and Ideas in Statistical Process Control (1999)Statistics for Experimenters (1979)Exact Results for Shewhart Control Charts With Supplementary Runs Rules (1987)The Exponentially Weighted Moving Variance (1993)Control Charts for Monitoring the Mean and Variance of Autocorrelated Processes (1999)Monitoring Process Mean and Variability with One EWMA Chart (2001)CONTROL CHARTS WITH WARNING LINES (1955)Sampling Inspection of Continuous Processes with No Autocorrelation Between Successive Results (1960)Recent Developments in Control Chart Techniques (1975)The performance of control charts for monitoring process variation (1995)A CUSUM control chart for monitoring the variance when parameters are estimated (2010)Joint economic design of EWMA control charts for mean and variance (2006)A Self-Starting Control Chart for Linear Profiles (2007)Introduction to Stochastic Processes (2014)Economic control of quality of manufactured product (1932)Economic Control of Quality of Manufactured Product. 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(1967)Computation of the ARL for CUSUM- schemes (2005)A mean deviation-based approach to monitor process variability (2008)Enhanced Cumulative Sum Charts for Monitoring Process Dispersion (2015)Optimal Stopping Times for Detecting Changes in Distributions (1986)Time-Series Modeling for Statistical Process Control (1988)A New EWMA Chart for Monitoring Process Dispersion (2008)Distribution‐free Phase II CUSUM Control Chart for Joint Monitoring of Location and Scale (2014)Procedures for Reacting to a Change in Distribution (1971)changepoint : An R Package for Changepoint Analysis (2014)Selective review of offline change point detection methods (2019)Multivariate Generalizations of Cumulative Sum Quality-Control Schemes (1988)Comparisons of MultivariateCUSUMCharts (1990)Monitoring Process Mean and Variability with One Double EWMA Chart (2010)New EWMA Charts for Monitoring Process Dispersion (2010)Monitoring the coefficient of variation using a variable sample size control chart (2015)Statistical process control as a tool for research and healthcare improvement (2003)Data quality for data science, predictive analytics, and big data in supply chain management: An introduction to the problem and suggestions for research and applications (2014)
this work references cited by second hop

References

  • 1992Introduction to Statistical Quality Control7,842 cited
  • 1954CONTINUOUS INSPECTION SCHEMES5,731 cited
  • 1990Exponentially Weighted Moving Average Control Schemes: Properties and Enhancements1,939 cited
  • 1972An Approach to the Probability Distribution of Cusum Run Length886 cited
  • 1992An EWMA for Monitoring a Process Standard Deviation328 cited
  • 1999A comparison of control charting procedures for monitoring process dispersion122 cited
  • 1963Controlling the Standard Deviation by Cusums and Warning Lines119 cited
  • 1995A Cumulative Sum Control Chart for Monitoring Process Variance113 cited
  • 2005A NewS2-EWMA Control Chart for Monitoring the Process Variance108 cited
  • 1987A Comparison of dispersion quality control charts50 cited
  • 1992Average Run Lengths of EWMA Control Charts for Monitoring a Process Standard Deviation49 cited

Cited by

  • 2019An adaptive approach to EWMA dispersion chart using Huber and Tukey functions36 cited
  • 2013Memory‐Type Control Charts for Monitoring the Process Dispersion35 cited
  • 2013Improved Exponentially Weighted Moving Average Control Charts for Monitoring Process Mean and Dispersion32 cited
  • 2014

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New Exponentially Weighted Moving Average Control Charts for Monitoring Process Mean and Process Dispersion
31 cited
  • 2018A new adaptive EWMA control chart for monitoring the process dispersion30 cited
  • 2017New EWMA control charts for monitoring process dispersion using auxiliary information29 cited
  • 2018New GWMA‐CUSUM control chart for monitoring the process dispersion28 cited
  • 2020A New HWMA Dispersion Control Chart with an Application to Wind Farm Data24 cited
  • 2013ImprovedRandscontrol charts for monitoring the process variance24 cited
  • 2020A new S2‐TEWMA control chart for monitoring process dispersion23 cited
  • 2010Economic design of inspection strategies to monitor dispersion in short production runs23 cited
  • 2019An adaptive EWMA chart with CUSUM accumulate error-based shift estimator for efficient process dispersion monitoring20 cited
  • 2019A Comparative Analysis of Robust Dispersion Control Charts with Application Related to Health Care Data17 cited
  • 2021Integrated economic design of quality control and maintenance management: Implications for managing manufacturing process14 cited
  • 2019Enhanced generally weighted moving average variance charts for monitoring process variance with individual observations13 cited
  • 2017New cumulative sum control charts for monitoring process variability12 cited