Multivariate Max-Chart

Thaga Keoagile and Gabaitiri Lesego
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Thaga Keoagile: Department of Statistics, University of Botswana, Private Bag 00705 Gaborone, Botswana
Gabaitiri Lesego: Department of Statistics, University of Botswana, Private Bag 00705 Gaborone, Botswana

Stochastics and Quality Control, 2006, vol. 21, issue 1, 113-125

Abstract: A single control chart called Multivariate Maximum Control Chart (Max-Mchart) is proposed in this article that is capable of monitoring the process, with the quality of an item being determined by several correlated quality characteristics. This scheme simultaneously monitors the process location and process spread using only one chart. The chart quickly detects both small and large shifts in the process parameters and indicates the parameter that has shifted. Compared with other recently proposed single multivariate control charts, this chart quickly detects small shifts in the process mean and is also simple to use, as it applies the well known Shewhart control charts procedures to compute the average run lengths.

Keywords: Noncentrality parameter; Shewhart type control chart; average run length; incontrol process (search for similar items in EconPapers)
Date: 2006
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DOI: 10.1515/EQC.2006.113

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