Multivariate statistical process control charts: An overview

被引:442
作者
Bersimis, S.
Psarakis, S.
Panaretos, J.
机构
[1] Athens Univ Econ & Business, Dept Stat, GR-10434 Athens, Greece
[2] Univ Calif Berkeley, Dept Stat, Berkeley, CA 94720 USA
[3] Univ Piraeus, Dept Stat & Insurance Sci, GR-18534 Piraeus, Greece
关键词
quality control; process control; multivariate statistical process control; Hotelling's T-2; CUSUM; EWMA; PCA; PLS;
D O I
10.1002/qre.829
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
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 least squares (PLS). Finally, we describe the most significant methods for the interpretation of an out-of-control signal. Copyright (C)2006 John Wiley & Sons, Ltd.
引用
收藏
页码:517 / 543
页数:27
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