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Multivariate Statistical Process Control Charts: An Overview

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Author Info
Bersimis, Sotiris
Psarakis, Stelios
Panaretos, John

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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.

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File URL: http://mpra.ub.uni-muenchen.de/6399/
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Publisher Info
Paper provided by University Library of Munich, Germany in its series MPRA Paper with number 6399.

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Date of creation: 07 Nov 2006
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Publication status: Published in Quality & Reliability Engineering International 5.23(2006): pp. 517-543
Handle: RePEc:pra:mprapa:6399

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Related research
Keywords: quality control; process control; multivariate statistical process control; Hotelling's T-square; CUSUM; EWMA; PCA; PLS;

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Find related papers by JEL classification:
C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General

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  1. Bersimis, Sotiris & Panaretos, John & Psarakis, Stelios, 2005. "Multivariate Statistical Process Control Charts and the Problem of Interpretation: A Short Overview and Some Applications in Industry," MPRA Paper 6397, University Library of Munich, Germany. [Downloadable!]
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