Multivariate Statistical Process Control with Multi-Dots Alarm Rules

Abstract:

This paper mainly studied to building multivariate control charts of multi-dots alarm rules. For different multi-dots alarm rules, control limit parameters can be given by a kind of method of calculating average run length. Then the performances of those kinds of multivariate control schemes under different alarm rules were compared with Hotelling T² chart, MCUSUM and MEWMA. We can find from this compare that those charts under different alarm rules have advantage in detecting small changes in the mean vector of a multivariate process. At last, an example is used to illustrate how this method can be used in practice.

• Periodical: Applied Mechanics and Materials (Volume 120)
• Pages: 275-279
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.120.275
• Online since: October 2011
• Authors: Hai Yu Wang
• Keywords: Alarm Rules, ARL (Average Run Length), Multivariate Control Charts

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