Robust Control Charts for Monitoring Process Mean of Phase-I Multivariate Individual Observations. (9th June 2013)

• Record Type: Journal Article
• Authors: Variyath, Asokan Mulayath; Vattathoor, Jayasankar
• Other Names: de Almeida Adiel Teixeira Academic Editor.
• Is Part Of: Journal of quality and reliability engineering. Volume 2013(2013)
• Publication Date: 2013-06-09
• Subjects: Reliability (Engineering) -- Periodicals; Engineering -- Quality control -- Periodicals; Failure analysis (Engineering) -- Periodicals; Engineering -- Quality control; Failure analysis (Engineering); Reliability (Engineering); Electronic journals; Periodicals; 620.0045
• DOI: 10.1155/2013/542305
• Languages: English
• ISSNs: 2314-8055

Abstract

Abstract : Hoteling'sT 2 control charts are widely used in industries to monitor multivariate processes. The classical estimators, sample mean, and the sample covariance used inT 2 control charts are highly sensitive to the outliers in the data. In Phase-I monitoring, control limits are arrived at using historical data after identifying and removing the multivariate outliers. We propose Hoteling'sT 2 control charts with high-breakdown robust estimators based on the reweighted minimum covariance determinant (RMCD) and the reweighted minimum volume ellipsoid (RMVE) to monitor multivariate observations in Phase-I data. We assessed the performance of these robust control charts based on a large number of Monte Carlo simulations by considering different data scenarios and found that the proposed control charts have better performance compared to existing methods.