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Multivariate Max-Chart

Author

Listed:
  • Thaga Keoagile
  • Gabaitiri Lesego

    (Department of Statistics, University of Botswana, Private Bag 00705 Gaborone, Botswana)

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.

Suggested Citation

  • Thaga Keoagile & Gabaitiri Lesego, 2006. "Multivariate Max-Chart," Stochastics and Quality Control, De Gruyter, vol. 21(1), pages 113-125, January.
    • Handle: RePEc:bpj:ecqcon:v:21:y:2006:i:1:p:113-125:n:1
    DOI: 10.1515/EQC.2006.113
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