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Multivariate Statistical Process Control Charts: An Overview

Bersimis, Sotiris; Psarakis, Stelios and Panaretos, John (2006): Multivariate Statistical Process Control Charts: An Overview. Published in: Quality & Reliability Engineering International , Vol. 23, No. 5 (2006): pp. 517-543.

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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.

Item Type:MPRA Paper
Language:English
Keywords:quality control, process control, multivariate statistical process control, Hotelling's T-square, CUSUM, EWMA, PCA, PLS
Subjects:C - Mathematical and Quantitative Methods > C1 - Econometric and Statistical Methods: General
ID Code:6399
Deposited By:J Panaretos
Deposited On:20. Dec 2007 07:21
Last Modified:28. Jul 2011 16:14

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