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Multivariate Statistical Process Control Charts: An Overview

Author

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  • Bersimis, Sotiris
  • Psarakis, Stelios
  • Panaretos, John

Abstract

In this paper we discuss the basic procedures for the implementation of multivariate statistical process control via control charting. Furthermore, we review multivariate extensions for all kinds of univariate control charts, such as multivariate Shewhart-type control charts, multivariate CUSUM control charts and multivariate EWMA control charts. In addition, we review unique procedures for the construction of multivariate control charts, based on multivariate statistical techniques such as principal components analysis (PCA) and partial lest squares (PLS). Finally, we describe the most significant methods for the interpretation of an out-of-control signal.

Suggested Citation

  • Bersimis, Sotiris & Psarakis, Stelios & Panaretos, John, 2006. "Multivariate Statistical Process Control Charts: An Overview," MPRA Paper 6399, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:6399
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    File URL: https://mpra.ub.uni-muenchen.de/6399/1/MPRA_paper_6399.pdf
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    More about this item

    Keywords

    quality control; process control; multivariate statistical process control; Hotelling's T-square; CUSUM; EWMA; PCA; PLS;
    All these keywords.

    JEL classification:

    • C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General

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