Multivariate Max-Chart

Keoagile Thaga, Lesego Gabaitiri

Research output: Contribution to journalArticlepeer-review

10 Citations (Scopus)


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.

Original languageEnglish
Pages (from-to)113-125
Number of pages13
JournalStochastics and Quality Control
Issue number1
Publication statusPublished - Apr 15 2006

All Science Journal Classification (ASJC) codes

  • Statistics and Probability
  • Safety, Risk, Reliability and Quality
  • Statistics, Probability and Uncertainty
  • Discrete Mathematics and Combinatorics
  • Applied Mathematics


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