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Multivariate SPC Charts for Monitoring Batch Processes
1 references·16 citing·47 second hop
Multivariate SPC Charts for Monitoring Batch Processes (1995)Multivariate SPC Charts for Monitoring Ba…The Exponentially Weighted Moving Average (1986)The Exponentially Weighted Mo…Dual process monitoring of metal-based additive manufacturing using tensor decomposition of thermal image streams (2018)Dual process monitoring of me…Overview of PCA-Based Statistical Process-Monitoring Methods for Time-Dependent, High-Dimensional Data (2015)Overview of PCA-Based Statist…A multivariate approach for top-down project control using earned value management (2015)A multivariate approach for t…Shelf life modelling for first-expired-first-out warehouse management (2014)Shelf life modelling for firs…Multivariate Quality Control (2013)Multivariate Quality ControlLatent Structures-Based Multivariate Statistical Process Control: A Paradigm Shift (2013)Latent Structures-Based Multi…Principal component analysis-based control charts for multivariate nonnormal distributions (2012)Principal component analysis-…Quality control and improvement for multistage systems: A survey (2009)Quality control and improveme…A comparison study of control charts for statistical monitoring of functional data (2009)A comparison study of control…Multivariate Statistical Process Control Based on Principal Component Analysis (MSPC-PCA): Some Reflections and a Case Study in an Autobody Assembly Process (2007)Multivariate Statistical Proc…Journal De La Société Française De Statistique (2005)Journal De La Société Françai…Applying Hotelling'sT2 Statistic to Batch Processes (2001)Applying Hotelling'sT2 Statis…Kollár Ádám Ferenc levelezése (2000)Kollár Ádám Ferenc levelezéseControl chart for multivariate attribute processes (1998)Control chart for multivariat…Using On‐Line Process Data to Improve Quality: Challenges for Statisticians* (1997)Using On‐Line Process Data to…Multivariate SPC Methods for Process and Product Monitoring (1996)Multivariate SPC Methods for …The Structure of Scientific Revolutions (1963)STATISTICAL METHODS FOR ASSESSING AGREEMENT BETWEEN TWO METHODS OF CLINICAL MEASUREMENT (1986)Econometric Analysis of Cross Section and Panel Data (2001)Non-Stationary Dependence Structures for Spatial Extremes (2016)Detecting Abrupt Changes in the Presence of Local Fluctuations and Autocorrelated Noise (2020)Detecting multiple generalized change-points by isolating single ones (2021)Economic Control of Quality of Manufactured Product. 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References

  • 1986The Exponentially Weighted Moving Average1,146 cited

Cited by

  • 1996Multivariate SPC Methods for Process and Product Monitoring676 cited
  • 2000Kollár Ádám Ferenc levelezése613 cited
  • 2009Quality control and improvement for multistage systems: A survey263 cited
  • 2013Multivariate Quality Control159 cited
  • 2014Shelf life modelling for first-expired-first-out warehouse management152 cited
  • 2015Overview of PCA-Based Statistical Process-Monitoring Methods for Time-Dependent, High-Dimensional Data145 cited
  • 2005Journal De La Société Française De Statistique142 cited
  • 1998Control chart for multivariate attribute processes131 cited
  • 2018Dual process monitoring of metal-based additive manufacturing using tensor decomposition of thermal image streams127 cited
  • 2007Multivariate Statistical Process Control Based on Principal Component Analysis (MSPC-PCA): Some Reflections and a Case Study in an Autobody Assembly Process122 cited
  • 2012Principal component analysis-based control charts for multivariate nonnormal distributions93 cited
  • 2009A comparison study of control charts for statistical monitoring of functional data77 cited
  • 2001Applying Hotelling'sT2 Statistic to Batch Processes77 cited

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work

  • 1997Using On‐Line Process Data to Improve Quality: Challenges for Statisticians*62 cited
  • 2013Latent Structures-Based Multivariate Statistical Process Control: A Paradigm Shift58 cited
  • 2015A multivariate approach for top-down project control using earned value management57 cited