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Information Journal Paper

Title

STATISTICAL DESIGN OF VARIABLE SAMPLING INTERVALS MULTIVARIATE T2 CONTROL CHARTS USING GENETIC ALGORITHMS

Pages

  37-50

Keywords

MULTIVARIATE T2 CONTROL CHARTQ3

Abstract

 The familiar multivariate process monitoring and control procedure is the Hotelling’s T2 control chart, a direct analog of the univariate shewhart  chart. But, its efficiency for detecting small to moderate shifts in the process mean is poor. To improve the power of chart, this paper presents the variable sampling intervals (VSI) scheme. It is assumed that the length of time the process remains in control has exponential distribution. The chart is modeled using Markov chains and is optimized using GENETIC ALGORITHM optimization method. The results show that the T2 chart with variable ratio sampling scheme is quicker than the classical one in detecting almost all shifts in the process mean.

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    APA: Copy

    SEYF, ASGHAR, FARAZ, ALI REZA, & TORABIAN, MOHSEN. (2010). STATISTICAL DESIGN OF VARIABLE SAMPLING INTERVALS MULTIVARIATE T2 CONTROL CHARTS USING GENETIC ALGORITHMS. JOURNAL OF OPERATIONAL RESEARCH AND ITS APPLICATIONS (JOURNAL OF APPLIED MATHEMATICS), 6(23), 37-50. SID. https://sid.ir/paper/164541/en

    Vancouver: Copy

    SEYF ASGHAR, FARAZ ALI REZA, TORABIAN MOHSEN. STATISTICAL DESIGN OF VARIABLE SAMPLING INTERVALS MULTIVARIATE T2 CONTROL CHARTS USING GENETIC ALGORITHMS. JOURNAL OF OPERATIONAL RESEARCH AND ITS APPLICATIONS (JOURNAL OF APPLIED MATHEMATICS)[Internet]. 2010;6(23):37-50. Available from: https://sid.ir/paper/164541/en

    IEEE: Copy

    ASGHAR SEYF, ALI REZA FARAZ, and MOHSEN TORABIAN, “STATISTICAL DESIGN OF VARIABLE SAMPLING INTERVALS MULTIVARIATE T2 CONTROL CHARTS USING GENETIC ALGORITHMS,” JOURNAL OF OPERATIONAL RESEARCH AND ITS APPLICATIONS (JOURNAL OF APPLIED MATHEMATICS), vol. 6, no. 23, pp. 37–50, 2010, [Online]. Available: https://sid.ir/paper/164541/en

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