• DocumentCode
    2120300
  • Title

    Design and Implementation of the Extended Exponentially Weighted Moving Average Control Charts

  • Author

    Tai, Shih-Hung ; Lin, Ching-I ; Chen, Yan-Haw

  • Author_Institution
    Dept. of Ind. Manage., Lunghwa Univ. of Sci. & Technol., Taoyuan, Taiwan
  • fYear
    2009
  • fDate
    20-22 Sept. 2009
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    In this paper, we extend the exponentially weighted moving average (EWMA) control chart. This generalized chart, is called herein the generally weighted moving average (GWMA) control chart. A simulation is conducted to evaluate the average run length (ARL) to false alarm and to monitor the shift in the process mean or the changes in the process variability of the composite X-EWMA chart and a group of composite X-GWMA statistical control schemes. This study recommend the use of the X-GWMA chart, which is an extensive comparison shows that the X-GWMA control chart is more sensitive than the X-EWMA control chart on monitoring the small shifts in the process mean or changes in the process variability.
  • Keywords
    control charts; moving average processes; process monitoring; statistical process control; X-EWMA chart; X-GWMA statistical control; average run length; exponentially weighted moving average control chart; generally weighted moving average control chart; process mean; process monitoring; process variability; Control charts; Design engineering; Engineering management; Industrial control; Monitoring; Process control; Signal detection; Signal processing; Statistics; Technology management;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Management and Service Science, 2009. MASS '09. International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-4638-4
  • Electronic_ISBN
    978-1-4244-4639-1
  • Type

    conf

  • DOI
    10.1109/ICMSS.2009.5302801
  • Filename
    5302801