• DocumentCode
    614859
  • Title

    The three statistical control charts using ranked set sampling

  • Author

    Abujiya, Mu´azu Ramat ; Lee, Moon Ho

  • Author_Institution
    Dept. of Math. Sci., Univ. Teknol. Malaysia, Skudai, Malaysia
  • fYear
    2013
  • fDate
    28-30 April 2013
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    This article investigated the performance of the three common statistical control charts, the Shewhart x̅ chart, cumulative sum (CUSUM) chart, and exponentially weighted moving average (EWMA) chart for location using ranked set sampling (RSS) instead of the traditional simple random sampling (SRS). Considering a normal population, a Monte Carlo simulation is carried out for several shift values for each of the control chart. The average run length (ARL) showed that the control charts based on RSS data are superior to their corresponding SRS counterparts with no significant difference between CUSUM and EWMA charts. There is an interesting increase in the sensitivity of RSS based Shewhart x̅ chart relative to other charts.
  • Keywords
    Monte Carlo methods; control charts; sampling methods; CUSUM charts; EWMA charts; Monte Carlo simulation; RSS; SRS; Shewhart chart; average run length; cumulative sum chart; exponentially weighted moving average chart; normal population; ranked set sampling; simple random sampling; statistical control charts; Control charts; Equations; Gaussian distribution; Process control; Sociology; Statistics; Average run length; CUSUM chart; EWMA chart; Shewhart control chart; ranked set sampling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Modeling, Simulation and Applied Optimization (ICMSAO), 2013 5th International Conference on
  • Conference_Location
    Hammamet
  • Print_ISBN
    978-1-4673-5812-5
  • Type

    conf

  • DOI
    10.1109/ICMSAO.2013.6552684
  • Filename
    6552684