• DocumentCode
    694258
  • Title

    The bivariate generalized variance |S| control chart with runs rules

  • Author

    Chong, C.J. ; Lee, Moon Ho

  • Author_Institution
    Fac. of Eng., Swinburne Univ. of Technol., Kuching, Malaysia
  • fYear
    2013
  • fDate
    10-13 Dec. 2013
  • Firstpage
    1448
  • Lastpage
    1452
  • Abstract
    This work studies the effect of incorporating the 2-of-k, 3-of-k, and k-of-k runs rules into the one-sided bivariate generalized variance |S| control chart, in terms of the average run length (ARL). The Markov chain approach is used to obtain the ARL profiles for the proposed chart. From the ARL comparisons, the control charts with runs rules detect the process change faster than the corresponding chart without runs rules. The results also indicate that the out-of-control ARL of the chart with 2-of-k runs rule decreases with increasing values of k up to a point beyond which the ARL increases. This is also the case for the 3-of-k runs rule. Meanwhile, the out-of-control ARL of chart with k-of-k runs rule increases as the value of k increases. The chart with 2-of-k runs rule gives better ARL performance than the charts with 3-of-k and k-of-k runs rules.
  • Keywords
    Markov processes; control charts; ARL; Markov chain; average run length; bivariate generalized variance |S| control chart; k-of-k runs rule; Control charts; Covariance matrices; Markov processes; Process control; Sparse matrices; Standards; Vectors; Average run length; Markov chain; bivariate generalized variance chart; runs rules;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Engineering and Engineering Management (IEEM), 2013 IEEE International Conference on
  • Conference_Location
    Bangkok
  • Type

    conf

  • DOI
    10.1109/IEEM.2013.6962650
  • Filename
    6962650