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Investigation and characterization of a control scheme for multivariate quality control
5 references·12 citing·39 second hop
Investigation and characterization of a control scheme for multivariate quality control (1992)Investigation and characterization of a c…A Multivariate Exponentially Weighted Moving Average Control Chart (1992)A Multivariate Exponentially …Comparisons of MultivariateCUSUMCharts (1990)Comparisons of MultivariateCU…Multivariate Generalizations of Cumulative Sum Quality-Control Schemes (1988)Multivariate Generalizations …Selecting Out of Control Variables With the T 2 Multivariate Quality Control Procedure (1987)Selecting Out of Control Vari…The Exponentially Weighted Moving Average (1986)The Exponentially Weighted Mo…Root cause analysis of an out-of-control process using a logical analysis of data regression model and exponential weighted moving average (2023)Root cause analysis of an out…A robust meta‐method for interpreting the out‐of‐control signal of multivariate control charts using artificial neural networks (2021)A robust meta‐method for inte…Methods for interpreting the out‐of‐control signal of multivariate control charts: A comparison study (2017)Methods for interpreting the …An integrated approach for multivariate statistical process control using Mahalanobis-Taguchi System and Andrews function (2017)An integrated approach for mu…Diagnosis Aids in Multivariate Multiple Linear Regression Profiles Monitoring (2013)Diagnosis Aids in Multivariat…An integrated supervised learning solution for monitoring process mean vector (2011)An integrated supervised lear…Multivariate Statistical Process Control Charts and the Problem of Interpretation: A Short Overview and Some Applications in Industry (2009)Multivariate Statistical Proc…The use of Andrews curves for detecting the out-of-control variables when a multivariate control chart signals (2007)The use of Andrews curves for…Multivariate statistical process control charts: an overview (2006)Multivariate statistical proc…It is not what you achieve it is the way you achieve it (2000)It is not what you achieve it…MULTIVARIATE RIDGE RESIDUAL CHARTS (1998)MULTIVARIATE RIDGE RESIDUAL C…Multivariate Process Monitoring Using the Dynamic Biplot (1997)Multivariate Process Monitori…An Approach to the Probability Distribution of Cusum Run Length (1972)A review of multivariate control charts (1995)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)Control Chart Tests Based on Geometric Moving Averages (1959)Exponentially Weighted Moving Average Control Schemes: Properties and Enhancements (1990)Control Chart Tests Based on Geometric Moving Averages (2000)Quality Control and Industrial Statistics. (1967)Multivariate SPC Charts for Monitoring Batch Processes (1995)Bivariate copulas on the Hotelling's T2 control chart (2016)A variable sampling interval multivariate exponentially weighted moving average control chart for monitoring the gumbel's bivariate exponential data (2022)Comprehensive Scientometric Analysis and Longitudinal SDG Mapping of Quality and Reliability Engineering International Journal (2023)Overcoming Resistance to Change (1948)BS5750/ISO9000 ‐ The Experience of Small and Medium‐sized Firms (1991)Senior executives and ISO 9000 (1995)Firm preparation for ISO 9001 certification – the case of the hotel industry in Portugal (2017)Introduction to Statistical Quality Control (1992)On-Line Monitoring When the Process Yields a Linear Profile (2000)Introduction to Statistical Quality Control (2005)Self-Starting control charts for monitoring logistic regression profiles (2018)Monitoring multivariate profiles in multistage processes (2019)Service failure monitoring via multivariate multiple linear regression profile schemes with dimensionality reduction (2023)CONTINUOUS INSPECTION SCHEMES (1954)Time Series Analysis: Forecasting and Control (1977)Time Series Analysis: Forecasting and Control (1977)Time-Series Modeling for Statistical Process Control (1988)Some Statistical Process Control Methods for Autocorrelated Data (1991)Multivariate Quality Control (1947)Multivariate SPC Methods for Process and Product Monitoring (1996)Kollár Ádám Ferenc levelezése (2000)A distribution-free phase II control chart for multivariate individual data with simple post signal diagnostics (2024)A review of artificial intelligence impacting statistical process monitoring and future directions (2026)Quality Control Methods for Several Related Variables (1959)Contributors to a multivariate statistical process control chart signal (1996)Projections and the U 2 Multivariate Control Chart (1996)An SPC monitoring system for cycle-based waveform signals using haar transform (2006)A Group of Moving Averages Control Plan for Signaling Varying Location Shifts (2003)Regression Adjustment for Variables in Multivariate Quality Control (1993)Designing a Multivariate EWMA Control Chart (1997)Multivariate Statistical Process Control Using LASSO (2009)
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References

  • 1992A Multivariate Exponentially Weighted Moving Average Control Chart1,231 cited
  • 1986The Exponentially Weighted Moving Average1,146 cited
  • 1988Multivariate Generalizations of Cumulative Sum Quality-Control Schemes720 cited
  • 1990Comparisons of MultivariateCUSUMCharts520 cited
  • 1987Selecting Out of Control Variables With the T 2 Multivariate Quality Control Procedure120 cited

Cited by

  • 1997Multivariate Process Monitoring Using the Dynamic Biplot36 cited
  • 2000It is not what you achieve it is the way you achieve it36 cited
  • 2013Diagnosis Aids in Multivariate Multiple Linear Regression Profiles Monitoring27 cited
  • 2017Methods for interpreting the out‐of‐control signal of multivariate control charts: A comparison study23 cited
  • 2006Multivariate statistical process control charts: an overview23 cited
  • 2011An integrated supervised learning solution for monitoring process mean vector15 cited
  • 2009Multivariate Statistical Process Control Charts and the Problem of Interpretation: A Short Overview and Some Applications in Industry15 cited
  • 2021A robust meta‐method for interpreting the out‐of‐control signal of multivariate control charts using artificial neural networks14 cited
  • 2017An integrated approach for multivariate statistical process control using Mahalanobis-Taguchi System and Andrews function

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14 cited
  • 1998MULTIVARIATE RIDGE RESIDUAL CHARTS13 cited
  • 2023Root cause analysis of an out-of-control process using a logical analysis of data regression model and exponential weighted moving average11 cited
  • 2007The use of Andrews curves for detecting the out-of-control variables when a multivariate control chart signals10 cited