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Information Journal Paper

Title

A REVIEW AND EVALUATION OF STATISTICAL PROCESS CONTROL METHODS IN MONITORING PROCESS MEAN AND VARIANCE SIMULTANEOUSLY

Pages

  1-8

Abstract

 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.

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    APA: Copy

    OSTADSHARIFMEMAR, AHMAD, & AKHAVAN NIAKI, SEYED TAGHI. (2008). A REVIEW AND EVALUATION OF STATISTICAL PROCESS CONTROL METHODS IN MONITORING PROCESS MEAN AND VARIANCE SIMULTANEOUSLY. JOURNAL OF OPTIMIZATION IN INDUSTRIAL ENGINEERING (JOURNAL OF INDUSTRIAL ENGINEERING), 1(PRE. NO. 1), 1-8. SID. https://sid.ir/paper/205919/en

    Vancouver: Copy

    OSTADSHARIFMEMAR AHMAD, AKHAVAN NIAKI SEYED TAGHI. A REVIEW AND EVALUATION OF STATISTICAL PROCESS CONTROL METHODS IN MONITORING PROCESS MEAN AND VARIANCE SIMULTANEOUSLY. JOURNAL OF OPTIMIZATION IN INDUSTRIAL ENGINEERING (JOURNAL OF INDUSTRIAL ENGINEERING)[Internet]. 2008;1(PRE. NO. 1):1-8. Available from: https://sid.ir/paper/205919/en

    IEEE: Copy

    AHMAD OSTADSHARIFMEMAR, and SEYED TAGHI AKHAVAN NIAKI, “A REVIEW AND EVALUATION OF STATISTICAL PROCESS CONTROL METHODS IN MONITORING PROCESS MEAN AND VARIANCE SIMULTANEOUSLY,” JOURNAL OF OPTIMIZATION IN INDUSTRIAL ENGINEERING (JOURNAL OF INDUSTRIAL ENGINEERING), vol. 1, no. PRE. NO. 1, pp. 1–8, 2008, [Online]. Available: https://sid.ir/paper/205919/en

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