• DocumentCode
    690856
  • Title

    Interpretive structural model of key performance indicators for sustainable manufacturing evaluation in automotive companies

  • Author

    Amrina, E. ; Yusof, Suhailah Mohd

  • Author_Institution
    Dept. of Ind. Eng., Andalas Univ., Padang, Indonesia
  • fYear
    2012
  • fDate
    10-13 Dec. 2012
  • Firstpage
    656
  • Lastpage
    660
  • Abstract
    This paper aims to analyze the interrelationships among the key performance indicators of sustainable manufacturing evaluation in automotive companies. The initial key performance indicators have been identified and derived from literature and were then validated by industry survey. Interpretive structural modeling (ISM) methodology is applied to develop a hierarchical structure of the key performance indicators in three levels. Of nine indicators, there are five unstable indicators which have both high driver and dependence power, thus requiring further attention. It is believed that the model can provide a better insight for automotive managers in assessing their sustainable manufacturing performance.
  • Keywords
    automobile industry; computer aided engineering; manufacturing systems; matrix algebra; reachability analysis; sustainable development; ISM methodology; automotive companies; computer-assisted learning process; hierarchical structure; interpretive structural modeling methodology; key performance indicators; reachability matrix; sustainable manufacturing evaluation; sustainable manufacturing performance assessment; Automotive engineering; Companies; Economics; Industrial engineering; Manufacturing; Modeling; Resource management; Automotive; interpretive structural modeling; key performance indicators; sustainable manufacturing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Engineering and Engineering Management (IEEM), 2012 IEEE International Conference on
  • Conference_Location
    Hong Kong
  • Type

    conf

  • DOI
    10.1109/IEEM.2012.6837821
  • Filename
    6837821