• DocumentCode
    2972264
  • Title

    Proposed ̃ and S control charts for skewed distributions

  • Author

    Khoo, M.B.C. ; Atta, A.M.A. ; Chen, C.-H.

  • Author_Institution
    Sch. of Math. Sci., Univ. Sains Malaysia, Minden, Malaysia
  • fYear
    2009
  • fDate
    8-11 Dec. 2009
  • Firstpage
    389
  • Lastpage
    393
  • Abstract
    This paper proposes a weighted variance method to compute the limits of the X ¿ and S charts for skewed distributions. The proposed charts extend the weighted variance X ¿ and R charts in by enabling a process from a skewed distribution with moderate and large sample sizes to be monitored efficiently, hence producing more favourable Type-I and Type-II error rates than the charts in. Note that the charts in are only intended to be used for small sample sizes. The Type-I and Type-II error rates computed show that the proposed charts outperform the existing heuristic charts, as well as those in for moderate and large sample sizes, involving cases with known and unknown parameters, when the distribution of a process is skewed.
  • Keywords
    control charts; heuristic programming; R charts; S control charts; TYPE-I error rates; Type-II error rates; X control charts; existing heuristic charts; large sample sizes; skewed distributions; weighted variance method; Control charts; Distributed computing; Error analysis; Information management; Information technology; Monitoring; Robustness; Technology management; ̃ chart; S chart; skewness correction; weighted standard deviation; weighted variance;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Engineering and Engineering Management, 2009. IEEM 2009. IEEE International Conference on
  • Conference_Location
    Hong Kong
  • Print_ISBN
    978-1-4244-4869-2
  • Electronic_ISBN
    978-1-4244-4870-8
  • Type

    conf

  • DOI
    10.1109/IEEM.2009.5373327
  • Filename
    5373327