• DocumentCode
    3025388
  • Title

    The Standard S Control Chart with Run Rules

  • Author

    Huiquan, Ma ; Ying, Yu ; Cuiyi, Xiao ; Qing, Yun Xiao ; Ping, Liu Jian ; Xia, Li

  • Author_Institution
    HeBei Normal Univ. of Sci. & Technol., Qinhuangdao, China
  • fYear
    2010
  • fDate
    23-24 Oct. 2010
  • Firstpage
    401
  • Lastpage
    404
  • Abstract
    The application of standard |s| control chart with two run rules in control of process variability is discussed in this paper. The control limits and average run length(ARL) are computed by the method of Markov chain. The results show that the standard |s| control chart with run rules has smaller ARL than the standard |s| control chart for all kinds of magnitudes of shifts. In the end, an example accompanied by simulation is used to illustrate that the chart with run rules is more sensitive to shifts in the process variability.
  • Keywords
    Markov processes; control charts; process control; Markov chain; average run length; process control; process variability; run rules; standard |S| control chart; Control charts; Covariance matrix; Gaussian distribution; Markov processes; Monitoring; Process control; process variability; sample generalized variance; standard control chart; unbiased estimate;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cryptography and Network Security, Data Mining and Knowledge Discovery, E-Commerce & Its Applications and Embedded Systems (CDEE), 2010 First ACIS International Symposium on
  • Conference_Location
    Qinhuangdao
  • Print_ISBN
    978-1-4244-9595-5
  • Type

    conf

  • DOI
    10.1109/CDEE.2010.85
  • Filename
    5759312