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  • 标题:A REVIEW AND EVALUATION OF STATISTICAL PROCESS CONTROL METHODS IN MONITORING PROCESS MEAN AND VARIANCE SIMULTANEOUSLY
  • 本地全文:下载
  • 作者:OSTADSHARIFMEMAR AHMAD ; AKHAVAN NIAKI SEYED TAGHI
  • 期刊名称:JOURNAL OF OPTIMIZATION IN INDUSTRIAL ENGINEERING (JOURNAL OF INDUSTRIAL ENGINEERING)
  • 印刷版ISSN:2251-9904
  • 出版年度:2008
  • 卷号:1
  • 期号:1
  • 页码:1-8
  • 语种:English
  • 出版社:ISLAMIC AZAD UNIVERSITY, QAZVIN BRANCH
  • 摘要:In this paper, first the available single charting methods, which have been proposed to detect simultaneous shifts in a single process mean and variance, are reviewed. Then, by designing proper simulation studies these methods are evaluated in terms of in-control and out-ofcontrol average run length criteria (ARL). The results of these simulation experiments show that the EWMA and EWMS methods are quite capable to detect large shifts in the means and variances. However, while the two EWMV procedures under study do not perform well, the Max-Min EWMA and Max-EWMA perform very well in all scenarios of mean and variance shifts.
  • 关键词:STATISTICAL QUALITY CONTROL; CONTROL CHART; SIMULTANEOUS CONTROL OF MEAN AND VARIANCE
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