• DocumentCode
    3576728
  • Title

    Interpretive structural model of key performance indicators for sustainable manufacturing evaluation in cement industry

  • Author

    Amrina, E. ; Vilsi, A.L.

  • Author_Institution
    Dept. of Ind. Eng., Andalas Univ., Padang, Indonesia
  • fYear
    2014
  • Firstpage
    1111
  • Lastpage
    1115
  • Abstract
    This paper aims to analyze the relationships among the Key Performance Indicators (KPIs) for sustainable manufacturing evaluation in the cement industry. The initial KPIs have been identified and derived from literature, and then validated by industry survey. As a result, three factors dividing into a total of thirteen indicators have been proposed as the KPIs for sustainable manufacturing evaluation in cement industry. Interpretive structural modeling (ISM) methodology is applied to develop a network structure model of the KPIs. The results show the indicators of economic factor are regarded as the basic indicator, while the indicators of environmental factor are indicated to be the leading indicator. Of those indicators, raw material substitution is regarded as the most influencing indicator. The ISM model can aid the cement companies by providing a better insight in evaluating sustainable manufacturing performance.
  • Keywords
    cement industry; economic indicators; environmental factors; industrial economics; sustainable development; ISM methodology; ISM model; KPI network structure model; cement companies; cement industry; economic factor indicators; environmental factor indicators; industry survey; interpretive structural model; key performance indicators; sustainable manufacturing performance evaluatiom; Accidents; Cement industry; Economics; Energy consumption; Manufacturing; Raw materials; Cement; interpretive structural modeling; key performance indicators; sustainable manufacturing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Engineering and Engineering Management (IEEM), 2014 IEEE International Conference on
  • Type

    conf

  • DOI
    10.1109/IEEM.2014.7058811
  • Filename
    7058811