• DocumentCode
    2856818
  • Title

    Control chart for monitoring dependent binomial processes

  • Author

    Kuo, Tsen-I ; Lin, Cheng-Shih ; Chen, Tung-Tsan ; Hung, Hsin-Hua

  • Author_Institution
    Dept. of Bus. Adm., Nat. Quemoy Univ., Kinmen, Taiwan
  • fYear
    2011
  • fDate
    6-9 Dec. 2011
  • Firstpage
    1335
  • Lastpage
    1337
  • Abstract
    Many processes data are autocorrelated, and traditional methods may lead to false results. Hence, traditional methods are not appropriate. Attribute control charts for monitoring dependent processes are lacking. Hence, we will investigate attribute control charts for monitoring dependent binomial processes in this study. We evaluate the performance of attribution control charts for monitoring dependent processes by average run length.
  • Keywords
    control charts; polynomials; process monitoring; attribute control charts; dependent binomial processes; monitoring; Control charts; Correlation; Industries; Markov processes; Monitoring; Process control; Quality control; Statistical process control; attribute control chart; average run length; correlation binomial model;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Engineering and Engineering Management (IEEM), 2011 IEEE International Conference on
  • Conference_Location
    Singapore
  • ISSN
    2157-3611
  • Print_ISBN
    978-1-4577-0740-7
  • Electronic_ISBN
    2157-3611
  • Type

    conf

  • DOI
    10.1109/IEEM.2011.6118133
  • Filename
    6118133