Bersimis, Sotiris and 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.
Download (332kB) | Preview
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|
|Original Title:||Multivariate Statistical Process Control Charts: An Overview|
|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 and Methodology: General|
|Depositing User:||J Panaretos|
|Date Deposited:||20 Dec 2007 06:21|
|Last Modified:||12 Nov 2016 08:31|