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The Conditional In-Control Performance of Self-Starting Control Charts
16 references·16 citing·33 second hopsampled
The Conditional In-Control Performance of Self-Starting Control Charts (2015)The Conditional In-Control Performance of…Guaranteed Conditional Performance of Control Charts via Bootstrap Methods (2016)Guaranteed Conditional Perfor…The Difficulty in Designing Shewhart X and X Control Charts with Estimated Parameters (2015)The Difficulty in Designing S…Another Look at the EWMA Control Chart with Estimated Parameters (2015)Another Look at the EWMA Cont…Introduction to Statistical Process Control (2014)Introduction to Statistical P…An Overview of Phase I Analysis for Process Improvement and Monitoring (2014)An Overview of Phase I Analys…Some Recent Developments on the Effects of Parameter Estimation on Control Charts (2013)Some Recent Developments on t…Guaranteed Conditional Performance of Control Charts via Bootstrap Methods (2013)Guaranteed Conditional Perfor…Effects of Parameter Estimation on Control Chart Properties: A Literature Review (2006)Effects of Parameter Estimati…The Run Length Distribution of the CUSUM with Estimated Parameters (2004)The Run Length Distribution o…The Performance of Exponentially Weighted Moving Average Charts With Estimated Parameters (2001)The Performance of Exponentia…Cumulative Sum Charts and Charting for Quality Improvement (1998)Cumulative Sum Charts and Cha…Introduction to Statistical Quality Control (1992)Introduction to Statistical Q…SPCQCharts for Start-Up Processes and Short or Long Runs (1991)SPCQCharts for Start-Up Proce…Self-Starting Cusum Charts for Location and Scale (1987)Self-Starting Cusum Charts fo…International Journal of Production Research (1962)International Journal of Prod…CONTINUOUS INSPECTION SCHEMES (1954)CONTINUOUS INSPECTION SCHEMESA nonparametric adaptive EWMA control chart for monitoring mixed continuous and categorical data using self-starting strategy (2024)A nonparametric adaptive EWMA…Design and properties of the predictive ratio cusum (PRC) control charts (2023)Design and properties of the …Predictive Control Charts (PCC): A Bayesian approach in online monitoring of short runs (2021)Predictive Control Charts (PC…Monitoring exponentially distributed time between events data: self-starting perspective (2021)Monitoring exponentially dist…On the design of control charts with guaranteed conditional performance under estimated parameters (2020)On the design of control char…A predictive Bayesian approach to EWMA and CUSUM charts for time-between-events monitoring (2020)A predictive Bayesian approac…The effect of continuously updating control chart limits on control chart performance (2019)The effect of continuously up…Guaranteed in-control control chart performance with cautious parameter learning (2019)Guaranteed in-control control…Guaranteed conditional performance of the median run length based EWMA X¯ chart with unknown process parameters (2019)Guaranteed conditional perfor…Double sampling np chart with estimated process parameter (2019)Double sampling np chart with…A predictive Bayesian approach to sequential time‐between‐events monitoring (2019)A predictive Bayesian approac…Self-Starting control charts for monitoring logistic regression profiles (2018)Self-Starting control charts …Effect of autocorrelation estimators on the performance of the X control chart (2018)Effect of autocorrelation est…A re-evaluation of the run rules xbar chart when the process parameters are unknown (2018)A re-evaluation of the run ru…The Design of the S2 Control Charts Based on Conditional Performance via Exact Methods (2017)The Design of the S2 Control …Self-Starting Monitoring Scheme for Poisson Count Data With Varying Population Sizes (2015)Self-Starting Monitoring Sche…Economic control of quality of manufactured product (1932)Inference About the Change-Point in a Sequence of Random Variables (1970)Multivariate Control Charts for Individual Observations (1992)Nonparametric (distribution-free) control charts: An updated overview and some results (2019)How generative AI models such as ChatGPT can be (mis)used in SPC practice, education, and research? An exploratory study (2023)Time Series Analysis: Forecasting and Control (1977)The Shewhart Control Chart—Tests for Special Causes (1984)Some Statistical Process Control Methods for Autocorrelated Data (1991)A control chart based on a change-point model for monitoring linear profiles (2006)Phase I Statistical Process Control Charts: An Overview and Some Results (2008)A review of multivariate control charts (1995)Introduction to Statistical Quality Control (2005)Current research on profile monitoring (2007)Some Current Directions in the Theory and Application of Statistical Process Monitoring (2014)Multivariate Generalizations of Cumulative Sum Quality-Control Schemes (1988)A Multivariate Exponentially Weighted Moving Average Control Chart (1992)The EWMA median chart with estimated parameters (2015)Exponentially Weighted Moving Average Control Schemes: Properties and Enhancements (1990)Control Chart Tests Based on Geometric Moving Averages (2000)Multivariate Statistical Process Control Using LASSO (2009)A Multivariate Sign EWMA Control Chart (2011)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)Research Issues and Ideas in Statistical Process Control (1999)The Use of Control Charts in Health-Care and Public-Health Surveillance (2006)Time-Series Modeling for Statistical Process Control (1988)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)Nonparametric Monitoring of Data Streams for Changes in Location and Scale (2011)A systematic review on drivers, barriers, and practices towards circular economy: a supply chain perspective (2018)The impact of digital technology and Industry 4.0 on the ripple effect and supply chain risk analytics (2018)Empirical investigation of data analytics capability and organizational flexibility as complements to supply chain resilience (2019)
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References

  • 1992Introduction to Statistical Quality Control7,842 cited
  • 1954CONTINUOUS INSPECTION SCHEMES5,731 cited
  • 1962International Journal of Production Research2,111 cited
  • 1998Cumulative Sum Charts and Charting for Quality Improvement842 cited
  • 2006Effects of Parameter Estimation on Control Chart Properties: A Literature Review582 cited
  • 2001The Performance of Exponentially Weighted Moving Average Charts With Estimated Parameters277 cited
  • 1991SPCQCharts for Start-Up Processes and Short or Long Runs244 cited
  • 2014An Overview of Phase I Analysis for Process Improvement and Monitoring234 cited
  • 1987Self-Starting Cusum Charts for Location and Scale210 cited
  • 2013Some Recent Developments on the Effects of Parameter Estimation on Control Charts178 cited
  • 2015The Difficulty in Designing Shewhart X and X Control Charts with Estimated Parameters157 cited
  • 2015Another Look at the EWMA Control Chart with Estimated Parameters156 cited
  • 2013Guaranteed Conditional Performance of Control Charts via Bootstrap Methods147 cited
  • 2016Guaranteed Conditional Performance of Control Charts via Bootstrap Methods147 cited
  • 2004The Run Length Distribution of the CUSUM with Estimated Parameters

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142 cited
  • 2014Introduction to Statistical Process Control135 cited
  • Cited by

    • 2020On the design of control charts with guaranteed conditional performance under estimated parameters38 cited
    • 2019Guaranteed in-control control chart performance with cautious parameter learning37 cited
    • 2015Self-Starting Monitoring Scheme for Poisson Count Data With Varying Population Sizes29 cited
    • 2024A nonparametric adaptive EWMA control chart for monitoring mixed continuous and categorical data using self-starting strategy23 cited
    • 2018Effect of autocorrelation estimators on the performance of the X control chart22 cited
    • 2019Double sampling np chart with estimated process parameter21 cited
    • 2018Self-Starting control charts for monitoring logistic regression profiles21 cited
    • 2019A predictive Bayesian approach to sequential time‐between‐events monitoring19 cited
    • 2020A predictive Bayesian approach to EWMA and CUSUM charts for time-between-events monitoring18 cited
    • 2021Predictive Control Charts (PCC): A Bayesian approach in online monitoring of short runs18 cited
    • 2017The Design of the S2 Control Charts Based on Conditional Performance via Exact Methods17 cited
    • 2019The effect of continuously updating control chart limits on control chart performance13 cited
    • 2021Monitoring exponentially distributed time between events data: self-starting perspective11 cited
    • 2019Guaranteed conditional performance of the median run length based EWMA X¯ chart with unknown process parameters11 cited
    • 2018A re-evaluation of the run rules xbar chart when the process parameters are unknown11 cited
    • 2023Design and properties of the predictive ratio cusum (PRC) control charts10 cited