Journal of the Korean Data and Information Science Society

한국데이터정보과학회 (The Korean Data and Information Science Society)
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Multivariate Cumulative Sum Control Chart for Dispersion Matrix

  • 발행 : 2002.10.31
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초록

Several different control statistics to simultaneously monitor dispersion matrix of several quality variables are presented since different control statistics can be used to describe variability. Multivariare cumulative sum (CUSUM) control charts are proposed and the performances of the proposed CUSUM charts are evaluated in terms of average run length (ARL). Multivariate Shewhart charts are also proposed to compare the properties of the proposed CUSUM charts. The numerical results show that multivariate CUSUM charts are more efficient than multivariate Shewhart charts for small or moderate shifts. And we also found that small reference value of the CUSUM chart is more efficient for small shift.

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참고문헌

  1. The Encyclopedia of Statisitical Sciences Multivariate Quality Control Alt, F.B.;S. Kotz(ed.);Johnson(ed.)
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  5. Journal of Industrial Engineering v.19 The Multicharacteristic Control Chart Ghare, P.H.;Torgersen, P.E.
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  9. Journal of Quality Technology v.29 Designing a Multivariate EWMA Control Chart Prabhu, S.S.;Runger, G.C.
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