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New Hybrid EWMA Charts for Efficient Process Dispersion Monitoring with Application in Automobile Industry

  • 【作者】Xuechen Liu, Majid Khan, Zahid Rasheed, Syed Masroor Anwar, Muhammad Arslan
  • 【刊名】CMES-Computer Modeling in Engineering & Sciences
  • 【作者单位】1 Faculty of Economics, Taiyuan Normal University, Taiyuan, 030619, China2 Department of Mathematics and Statistics, Riphah International University, Islamabad, 44000, Pakistan3 Department of Mathematics, Women University of Azad Jammu and Kashmir, Bagh, 12500, Pakistan4 Department of Statistics, University of Azad Jammu and Kashmir, Muzaffarabad, 13100, Pakistan5School of Statistics, Shanxi University of Finance and Economics, Taiyuan, 030619, China * Corresponding Author: Syed Masroor Anwar. Email: (This article belongs to this Special Issue: New Trends in Statistical Computing and Data Science)
  • 【年份】2022
  • 【卷号】Vol.131 No.2
  • 【页码】1171-1195
  • 【ISSN】1526-1492
  • 【关键词】Average run length extra quadratic loss memory-type charts Monte Carlo simulations smoothing parameter 
  • 【摘要】 The EWMA charts are the well-known memory-type charts used for monitoring the small-to-intermediate shifts in the process parameters . The hybrid EWMA charts are enhanced version of the EWMA charts, which effectively monitor the process parameters. ...
  • 【文献类型】 期刊
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