Markovian EWMA Control Chart for Several Correlated Quality Characteristics

  • Chang, Duk-Joon (Dept. of Statistics, Changwon National University) ;
  • Kwon, Yong-Man (Dept. of Computer Science and Statistics, Chosun University) ;
  • Hong, Yeon-Woong (Division of Intrenet Industrial Engineering, Dongyang University)
  • Published : 2003.11.30

Abstract

Markovian EWMA control chart for simultaneously monitoring mean vector of the several correlated quality characteristics is investigated. Properties of multivariate Shewhart chart and EWMA chart are evaluated for matched FSI (fixed sampling interval) and VSI(variable sampling interval) scheme. We obtained VSI EWMA chart is more efficient than Shewhart chart for small or moderate shifts. And, we obtained stablized numerical results with Markov chain method when the number of transient state is greater than 100.

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