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

  • 【作者】Liu, Xuechen,Khan, Majid,Rasheed, Zahid,Anwar, Syed Masroor,Arslan, Muhammad
  • 【刊名】CMES - Computer Modeling in Engineering and Sciences
  • 【作者单位】aFaculty of Economics, Taiyuan Normal University, Taiyuan, 030619, China;bDepartment of Mathematics and Statistics, Riphah International University, Islamabad, 44000, Pakistan;cDepartment of Mathematics, Women University of Azad Jammu and Kashmir, Bagh, 12500, Pakistan;dDepartment of Statistics, University of Azad Jammu and Kashmir, Muzaffarabad, 13100, Pakistan;eSchool of Statistics, Shanxi University of Finance and Economics, Taiyuan, 030619, China
  • 【年份】2022
  • 【卷号】Vol.130 No.3
  • 【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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