Designing of a hybrid exponentially weighted moving average control chart using repetitive sampling

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• 作者：Muhammad Azam (1)
  Muhammad Aslam (2)
  Chi-Hyuck Jun (3)
  
  1. Department of Statistics ; Forman Christian College University ; Lahore ; 54000 ; Pakistan
  2. Department of Statistics ; Faculty of Sciences ; King Abdulaziz University ; Jeddah ; 21551 ; Saudi Arabia
  3. Department of Industrial and Management Engineering ; POSTECH ; Pohang ; 790-784 ; Republic of Korea
  
• 关键词：Hybrid exponentially weighted moving average ; Control chart ; Process control ; Normal distribution ; Average run length
• 刊名：The International Journal of Advanced Manufacturing Technology
• 出版年：2015
• 出版时间：April 2015
• 年：2015
• 卷：77
• 期：9-12
• 页码：1927-1933
• 全文大小：364 KB
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  5. Aslam, M, Jun, C-H, Ahmad, M (2013) A repetitive type of group acceptance sampling plan for assuring the percentiles life. Pak J Stat 29: pp. 389-400
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• 刊物类别：Engineering
• 刊物主题：Industrial and Production Engineering
  Production and Logistics
  Mechanical Engineering
  Computer-Aided Engineering and Design
  
• 出版者：Springer London
• ISSN：1433-3015

文摘

A hybrid exponentially weighted moving average (HEWMA) control chart using repetitive sampling is presented in this manuscript. The designing of the proposed control chart is developed for a normally distributed quality characteristic. The formulas for the in-control and the out-of-control average run lengths (ARLs) are derived. Control chart coefficients are determined by considering the target in-control ARL. The tables for ARLs are presented for various target in-control ARLs and process shift parameters. The performance of the proposed control chart is compared with the existing control chart in terms of ARLs, which shows that the proposed chart performs better in detecting relatively small process mean shifts. An industrial example is given for the illustration purpose.