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‘Alternated Charting Statistic Modified Group Runs’ (ACS‐MGR) control chart for monitoring mean vectors of bivariate and trivariate processes
13 references·0 citing·41 second hop
‘Alternated Charting Statistic Modified Group Runs’ (ACS‐MGR) control chart for monitoring mean vectors of bivariate and trivariate processes (2020)‘Alternated Charting Statistic Modified G…An overview of synthetic‐type control charts: Techniques and methodology (2019)An overview of synthetic‐type…The Shewhart attribute chart with alternated charting statistics to monitor bivariate and trivariate mean vectors (2018)The Shewhart attribute chart …An effective multivariate control chart for detecting small mean shifts using support vector data description (2018)An effective multivariate con…Monitoring bivariate and trivariate mean vectors with a Shewhart chart (2017)Monitoring bivariate and triv…Some Group Runs Based Multivariate Control Charts for Monitoring the Process Mean Vector (2016)Some Group Runs Based Multiva…M a x D: an attribute control chart to monitor a bivariate process mean (2016)M a x D: an attribute control…Some Comments Regarding the Synthetic Chart (2014)Some Comments Regarding the S…A Multivariate Synthetic Control Chart for Monitoring Process Mean Vector (2008)A Multivariate Synthetic Cont…Modified Group Runs Control Charts to Detect Increases in Fraction Non Conforming and Shifts in the Process Mean (2006)Modified Group Runs Control C…A Group Runs Control Chart for Detecting Shifts in the Process Mean (2004)A Group Runs Control Chart fo…Evaluating and Improving the Synthetic Control Chart (2002)Evaluating and Improving the …A Synthetic Control Chart for Detecting Small Shifts in the Process Mean (2000)A Synthetic Control Chart for…Detecting a Shift in Fraction Nonconforming Using Run-Length Control Charts with 100% Inspection (1991)Detecting a Shift in Fraction…Control Chart Tests Based on Geometric Moving Averages (1959)The Shewhart Control Chart—Tests for Special Causes (1984)Exponentially Weighted Moving Average Control Schemes: Properties and Enhancements (1990)Statistical Process Control using Shewhart Control Charts with Supplementary Runs Rules (2007)Monitoring the coefficient of variation: A literature review (2021)CONTINUOUS INSPECTION SCHEMES (1954)An Approach to the Probability Distribution of Cusum Run Length (1972)Exact Results for Shewhart Control Charts With Supplementary Runs Rules (1987)Control Charts Based on Attribute Data: Bibliography and Review (1997)The Use of Control Charts in Health-Care and Public-Health Surveillance (2006)Introduction to Statistical Quality Control (1992)Introduction to Statistical Quality Control (1997)A side sensitive modified group runs control chart to detect shifts in the process mean (2010)Optimal design of the side‐sensitive modified group runs (SSMGR) chart when process parameters are estimated (2018)Side‐sensitive modified group runs charts with and without measurement errors for monitoring the coefficient of variation (2020)Control Chart Tests Based on Geometric Moving Averages (2000)A Side Sensitive Group Runs Control Chart for Detecting Shifts in the Process Mean (2006)Synthetic-Type Control Charts for Time-Between-Events Monitoring (2013)A review of multivariate control charts (1995)Kollár Ádám Ferenc levelezése (2000)GS2 : An optimized attribute control chart to monitor process variability (2017)An improved design of exponentially weighted moving average scheme for monitoring attributes (2019)Assorted control charts: An efficient statistical approach to monitor pH values in ecotoxicology lab (2019)An np control chart for monitoring the mean of a variable based on an attribute inspection (2009)A mixed control chart to monitor the process (2015)An Overview of Control Charts for High‐quality Processes (2016)A Shewhart chart with alternated charting statistic to control multivariate Poisson processes (2020)Shewhart-EWMA chart for monitoring binomial data subject to shifts of random amounts (2024)Nonparametric (distribution-free) control charts: An updated overview and some results (2019)Recent Advances on Univariate Distribution-Free Shewhart-Type Control Charts (2020)A new double sampling scheme to monitor the process mean of autocorrelated observations using an AR(1) model with a skip sampling strategy (2021)Monitoring bivariate autocorrelated process using a deep learning-based control chart: A case study on the car manufacturing industry (2024)Fast Initial Response for CUSUM Quality-Control Schemes: Give Your CUSUM A Head Start (1982)Fast Initial Response for CUSUM Quality-Control Schemes: Give Your CUSUM A Head Start (1982)The Inertial Properties of Quality Control Charts (2005)A synthetic control chart for the coefficient of variation (2011)On the Performance of Shewhart-type Synthetic and Runs-rules Charts Combined with an X¯ Chart (2015)A modified side-sensitive synthetic chart to monitor the process mean (2016)Optimal design of synthetic np control chart based on median run length (2016)A multivariate synthetic double sampling T2 control chart (2012)New adaptive control charts for monitoring the multivariate coefficient of variation (2018)
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References

  • 1991Detecting a Shift in Fraction Nonconforming Using Run-Length Control Charts with 100% Inspection274 cited
  • 2000A Synthetic Control Chart for Detecting Small Shifts in the Process Mean233 cited
  • 2002Evaluating and Improving the Synthetic Control Chart163 cited
  • 2004A Group Runs Control Chart for Detecting Shifts in the Process Mean46 cited
  • 2008A Multivariate Synthetic Control Chart for Monitoring Process Mean Vector43 cited
  • 2019An overview of synthetic‐type control charts: Techniques and methodology35 cited
  • 2014Some Comments Regarding the Synthetic Chart28 cited
  • 2016M a x D: an attribute control chart to monitor a bivariate process mean25 cited
  • 2006Modified Group Runs Control Charts to Detect Increases in Fraction Non Conforming and Shifts in the Process Mean23 cited
  • 2018The Shewhart attribute chart with alternated charting statistics to monitor bivariate and trivariate mean vectors16 cited
  • 2017Monitoring bivariate and trivariate mean vectors with a Shewhart chart15 cited
  • 2018An effective multivariate control chart for detecting small mean shifts using support vector data description12 cited
  • 2016Some Group Runs Based Multivariate Control Charts for Monitoring the Process Mean Vector9 cited

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