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:: Volume 21, Issue 2 (3-2011) ::
مجله‌ی بررسی‌ها 2011, 21(2): 169-180 Back to browse issues page
Double Sampling Multivariate Control Charts for Process Mean Vector
Asieh Salesi *, Mohammad Bameni Moghadam
Abstract:   (3996 Views)

 Over the past years, various type of multivariate statistical quality control procedures have been developed for monitoring simultaneously several correlated quality characteristics. The earliest multivariate control procedure reported was perhaps Hotelling control chart procedure. Recent studies have shown that the multiple sampling multivariate control chart detects process small shifts faster than Hotelling control chart. This article study Double Sampling Multivariate Control Charts for process mean vector. The optimal design for this control charts is formulated as an optimization problem. Monte Carlo simulation and Genetic algorithm used for solving this type of optimization problem.

Keywords: Multivariate control charts, quality characteristic, multivariate double sampling control charts, Monte Carlo simulation, genetic algorithm, Hotelling’s control chart.
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Type of Study: Research | Subject: General
Received: 2010/01/20 | Accepted: 2011/01/2 | Published: 2016/01/13
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Salesi A, Bameni Moghadam M. Double Sampling Multivariate Control Charts for Process Mean Vector. مجله‌ی بررسی‌ها 2011; 21 (2) :169-180
URL: http://ijoss.srtc.ac.ir/article-1-93-en.html

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Volume 21, Issue 2 (3-2011) Back to browse issues page
مجله‌ی بررسی‌های آمار رسمی ایران Ijoss Iranian Journal of Official Statistics Studies
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