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A transformation-based multivariate chart to monitor process dispersion

Abbasi, B ; Sharif University of Technology | 2009

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  1. Type of Document: Article
  2. DOI: 10.1007/s00170-008-1882-x
  3. Publisher: 2009
  4. Abstract:
  5. Multivariate monitoring techniques such as multivariate control charts are used to control the processes that contain more than one correlated characteristic. Although the majority of previous researches are focused on controlling only the mean vector of multivariate processes, little work has been performed to monitor the covariance matrix. In this research, a new method is presented to detect possible shifts in the covariance matrix of multivariate processes. The basis of the proposed method is to eliminate the correlation structure between the quality characteristics by transformation technique and then use an S chart for each variable. The performance of the proposed method is then compared to the ones from other existing methods and a real case is presented. © 2008 Springer-Verlag London Limited
  6. Keywords:
  7. Correlation structure ; Existing method ; Mean vector ; Multivariate control charts ; Multivariate monitoring ; Multivariate process ; Multivariate quality control ; Process dispersion ; Quality characteristic ; Transformation technique ; Transformation techniques ; Covariance matrix ; Dispersions ; Quality assurance ; Quality function deployment ; Total quality management ; Process control
  8. Source: International Journal of Advanced Manufacturing Technology ; Volume 44, Issue 7-8 , 2009 , Pages 748-756 ; 02683768 (ISSN)
  9. URL: https://link.springer.com/article/10.1007/s00170-008-1882-x