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Multivariate Process Monitoring Using the Dynamic Biplot
15 references·7 citing·29 second hop
Multivariate Process Monitoring Using the Dynamic Biplot (1997)Multivariate Process Monitoring Using the…Multivariate SPC Charts for Monitoring Batch Processes (1995)Multivariate SPC Charts for M…Decomposition of T 2 for Multivariate Control Chart Interpretation (1995)Decomposition of T 2 for Mult…Multivariate statistical process control—recent results and directions for future research (1994)Multivariate statistical proc…Multivariate Profile Charts for Statistical Process Control (1994)Multivariate Profile Charts f…Investigation and characterization of a control scheme for multivariate quality control (1992)Investigation and characteriz…A Multivariate Exponentially Weighted Moving Average Control Chart (1992)A Multivariate Exponentially …Multivariate Quality Control Based on Regression-Adjusted Variables (1991)Multivariate Quality Control …Identification of out of control quality characteristics in a multivariate manufacturing environment (1991)Identification of out of cont…Comparison of multivariate CUSUM charts (1991)Comparison of multivariate CU…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…A Note on Multivariate CUSUM Procedures (1987)A Note on Multivariate CUSUM …Multivariate CUSUM Quality-Control Procedures (1985)Multivariate CUSUM Quality-Co…Quality Control Methods for Several Related Variables (1959)Quality Control Methods for S…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 …Monitoring Highly Correlated Multivariate Processes Using Hotelling's T2 Statistic: Problems and Possible Solutions (2014)Monitoring Highly Correlated …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…A Group of Moving Averages Control Plan for Signaling Varying Location Shifts (2003)A Group of Moving Averages Co…Multivariate Control Charts for Individual Observations (1992)A Practical Approach for Interpreting Multivariate T2 Control Chart Signals (1997)High-Dimensional Process Monitoring and Fault Isolation via Variable Selection (2009)Multivariate Statistical Process Control Using LASSO (2009)CONTINUOUS INSPECTION SCHEMES (1954)Quality Control and Industrial Statistics. (1967)Procedures for Reacting to a Change in Distribution (1971)Regression Adjustment for Variables in Multivariate Quality Control (1993)Current research on profile monitoring (2007)An Approach to the Probability Distribution of Cusum Run Length (1972)A review of multivariate control charts (1995)Kollár Ádám Ferenc levelezése (2000)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)Multivariate Quality Control (1947)A New Two-Sided Cumulative Sum Quality Control Scheme (1986)Detection: International update, and some emerging di-lemmas involving calibration, the blank, and multiple detection decisions (1997)Statistical Quality Control Methods in Infection Control and Hospital Epidemiology, Part II: Chart Use, Statistical Properties, and Research Issues (1998)The Exponentially Weighted Moving Average (1986)Multivariate SPC Methods for Process and Product Monitoring (1996)Quality control and improvement for multistage systems: A survey (2009)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, productivity, and competitive position (1982)Control chart for multivariate attribute processes (1998)Monitoring Multivariate Process Variability for Individual Observations (2007)Multivariate Statistical Process Control Based on Principal Component Analysis (MSPC-PCA): Some Reflections and a Case Study in an Autobody Assembly Process (2007)The State of Statistical Process Control as We Proceed into the 21st Century (2000)Designing a Multivariate EWMA Control Chart (1997)
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References

  • 1995Multivariate SPC Charts for Monitoring Batch Processes1,428 cited
  • 1992A Multivariate Exponentially Weighted Moving Average Control Chart1,231 cited
  • 1988Multivariate Generalizations of Cumulative Sum Quality-Control Schemes720 cited
  • 1990Comparisons of MultivariateCUSUMCharts520 cited
  • 1985Multivariate CUSUM Quality-Control Procedures411 cited
  • 1995Decomposition of T 2 for Multivariate Control Chart Interpretation397 cited
  • 1991Multivariate Quality Control Based on Regression-Adjusted Variables378 cited
  • 1987A Note on Multivariate CUSUM Procedures337 cited
  • 1959Quality Control Methods for Several Related Variables269 cited
  • 1994Multivariate statistical process control—recent results and directions for future research166 cited
  • 1991Comparison of multivariate CUSUM charts133 cited
  • 1991Identification of out of control quality characteristics in a multivariate manufacturing environment132 cited
  • 1987Selecting Out of Control Variables With the T 2 Multivariate Quality Control Procedure120 cited
  • 1994Multivariate Profile Charts for Statistical Process Control87 cited
  • 1992Investigation and characterization of a control scheme for multivariate quality control

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Cited by

  • 2003A Group of Moving Averages Control Plan for Signaling Varying Location Shifts24 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
  • 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
  • 2007The use of Andrews curves for detecting the out-of-control variables when a multivariate control chart signals10 cited
  • 2014Monitoring Highly Correlated Multivariate Processes Using Hotelling's T2 Statistic: Problems and Possible Solutions9 cited