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New sampling strategies to reduce the effect of autocorrelation on the synthetic T2 chart to monitor bivariate process
15 references·8 citing·45 second hopsampled
New sampling strategies to reduce the effect of autocorrelation on the synthetic T2 chart to monitor bivariate process (2018)New sampling strategies to reduce the eff…TheT2chart with mixed samples to control bivariate autocorrelated processes (2015)TheT2chart with mixed samples…The skipping strategy to reduce the effect of the autocorrelation on the T 2 chart’s performance (2015)The skipping strategy to redu…The effect of the autocorrelation on the performance of the T 2 chart (2015)The effect of the autocorrela…The Effect of Autocorrelation on the Hotelling T2 Control Chart (2014)The Effect of Autocorrelation…Economic design of Shewhart control charts for monitoring autocorrelated data with skip sampling strategies (2014)Economic design of Shewhart c…Model-based Multivariate Monitoring Charts for Autocorrelated Processes (2013)Model-based Multivariate Moni…A new sampling strategy to reduce the effect of autocorrelation on a control chart (2013)A new sampling strategy to re…Effect of measurement error and autocorrelation on theX¯chart (2010)Effect of measurement error a…A Multivariate Synthetic Control Chart for Monitoring Process Mean Vector (2008)A Multivariate Synthetic Cont…SPC Procedures for Monitoring Autocorrelated Processes (2007)SPC Procedures for Monitoring…Double sampling hotelling's T2 charts (2007)Double sampling hotelling's T…Using vector autoregressive residuals to monitor multivariate processes in the presence of serial correlation (2006)Using vector autoregressive r…Multivariate Quality Control Chart for Autocorrelated Processes (2004)Multivariate Quality Control …A Performance Analysis of Hotelling's χ 2 Control Chart with Supplementary Runs Rules (2004)A Performance Analysis of Hot…Hotelling's T 2 control chart with adaptive sample sizes (1996)Hotelling's T 2 control chart…Multivariate ELR control chart with estimated mean vector and covariance matrix (2022)Multivariate ELR control char…Monitoring the multivariate coefficient of variation in presence of autocorrelation with variable parameters control charts (2022)Monitoring the multivariate c…A new double sampling scheme to monitor the process mean of autocorrelated observations using an AR(1) model with a skip sampling strategy (2021)A new double sampling scheme …The new synthetic and runs-rules schemes to monitor the process mean of autocorrelated observations with measurement errors (2020)The new synthetic and runs-ru…Robust T2 control chart using median‐based estimators (2020)Robust T2 control chart using…Combined effect of autocorrelation and measurement errors on the adaptive X¯ monitoring schemes (2020)Combined effect of autocorrel…Side-sensitive synthetic and runs-rules charts for monitoring AR(1) processes with skipping sampling strategies (2019)Side-sensitive synthetic and …Shewhart-type monitoring schemes with supplementary w-of-w runs-rules to monitor the mean of autocorrelated samples (2019)Shewhart-type monitoring sche…Time-Series Modeling for Statistical Process Control (1988)A Multivariate Exponentially Weighted Moving Average Control Chart (1992)Introduction to time series analysis and forecasting (2008)Impact of Autocorrelation on Principal Components and Their Use in Statistical Process Control (2015)The revised Tennessee Eastman process simulator as testbed for SPC and DoE methods (2018)An adaptive variable-parameters scheme for the simultaneous monitoring of the mean and variability of an autocorrelated multivariate normal process (2020)Multivariate Quality Control (1947)Some Statistical Process Control Methods for Autocorrelated Data (1991)The quality control chart for monitoring multivariate autocorrelated processes (2006)A nonparametric CUSUM chart for monitoring multivariate serially correlated processes (2020)A review of multivariate control charts (1995)Minimal Euclidean distance chart based on support vector regression for monitoring mean shifts of auto-correlated processes (2012)An Approach to the Probability Distribution of Cusum Run Length (1972)Multivariate Generalizations of Cumulative Sum Quality-Control Schemes (1988)Statistical properties of the lsi multivariate control chart (1999)GENERALIZED VARIANCE CHART DESIGN WITH ADAPTIVE SAMPLE SIZES. THE BIVARIATE CASE (2001)Economic statistical design of a T2 control chart with double warning lines (2010)Detecting a Shift in Fraction Nonconforming Using Run-Length Control Charts with 100% Inspection (1991)A Synthetic Control Chart for Detecting Small Shifts in the Process Mean (2000)Evaluating and Improving the Synthetic Control Chart (2002)A multivariate synthetic double sampling T2 control chart (2012)Synthetic-Type Control Charts for Time-Between-Events Monitoring (2013)New adaptive control charts for monitoring the multivariate coefficient of variation (2018)Time Series Analysis: Forecasting and Control (1977)Measurement error effect on the CUSUM control chart (2011)Statistical Process Control (2012)Effect of measurement error on exponentially weighted moving average control charts under ranked set sampling schemes (2014)Measurement errors in statistical process monitoring: A literature review (2016)Economic control of quality of manufactured product (1932)Economic Control of Quality of Manufactured Product. (1932)Introduction to Statistical Quality Control (1992)Improving the Performance of the Chi-square Control Chart via Runs Rules (2006)Multivariate statistical process control charts: an overview (2006)Run rules schemes for statistical process monitoring: a literature review (2022)$\overline{X}$ Charts with Variable Sampling Intervals (1988)The Design and Performance of the Multivariate Synthetic- T 2 Control Chart (2008)Synthetic- X¯ control charts optimized for in-control and out-of-control regions (2009)The Economic Design of X Charts Used to Maintain Current Control of a Process (1956)Statistical quality control : a modern introduction (2009)Robust economic-statistical design of X-bar control chart (2015)Economic design of multivariate Bayesian control chart with two sampling intervals (2016)Introduction to Time Series and Forecasting (2002)CUSUM Monitoring of First-Order Integer-Valued Autoregressive Processes of Poisson Counts (2009)Bridging the gap between theory and practice in basic statistical process monitoring (2016)Statistical Learning Methods Applied to Process Monitoring: An Overview and Perspective (2016)
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References

  • 1996Hotelling's T 2 control chart with adaptive sample sizes124 cited
  • 2007SPC Procedures for Monitoring Autocorrelated Processes114 cited
  • 2010Effect of measurement error and autocorrelation on theX¯chart102 cited
  • 2004Multivariate Quality Control Chart for Autocorrelated Processes87 cited
  • 2006Using vector autoregressive residuals to monitor multivariate processes in the presence of serial correlation57 cited
  • 2014The Effect of Autocorrelation on the Hotelling T2 Control Chart51 cited
  • 2014Economic design of Shewhart control charts for monitoring autocorrelated data with skip sampling strategies48 cited
  • 2008A Multivariate Synthetic Control Chart for Monitoring Process Mean Vector43 cited
  • 2004A Performance Analysis of Hotelling's χ 2 Control Chart with Supplementary Runs Rules41 cited
  • 2007Double sampling hotelling's T2 charts39 cited
  • 2015The effect of the autocorrelation on the performance of the T 2 chart36 cited
  • 2013A new sampling strategy to reduce the effect of autocorrelation on a control chart32 cited
  • 2013Model-based Multivariate Monitoring Charts for Autocorrelated Processes25 cited
  • 2015TheT2chart with mixed samples to control bivariate autocorrelated processes23 cited
  • 2015

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The skipping strategy to reduce the effect of the autocorrelation on the T 2 chart’s performance
22 cited

Cited by

  • 2022Monitoring the multivariate coefficient of variation in presence of autocorrelation with variable parameters control charts18 cited
  • 2019Side-sensitive synthetic and runs-rules charts for monitoring AR(1) processes with skipping sampling strategies18 cited
  • 2019Shewhart-type monitoring schemes with supplementary w-of-w runs-rules to monitor the mean of autocorrelated samples18 cited
  • 2021A new double sampling scheme to monitor the process mean of autocorrelated observations using an AR(1) model with a skip sampling strategy16 cited
  • 2020Robust T2 control chart using median‐based estimators14 cited
  • 2020The new synthetic and runs-rules schemes to monitor the process mean of autocorrelated observations with measurement errors12 cited
  • 2022Multivariate ELR control chart with estimated mean vector and covariance matrix7 cited
  • 2020Combined effect of autocorrelation and measurement errors on the adaptive X¯ monitoring schemes6 cited