• Title of article

    Applying Fuzzy Utilities Additives STAR for Sustainable Supplier Selection in Iran’s Construction Industry

  • Author/Authors

    Hakimi ، M. Department of Civil Engineering - Islamic Azad University, Arak Branch , Daneshvar ، A. Department of Information Technology Management - Islamic Azad University, Electronic Branch , Ehsanifar ، M. Department of Industrial Engineering - Islamic Azad University, Arak Branch , Nouri ، I. Department of Management - Islamic Azad University, Arak Branch

  • From page
    2008
  • To page
    2020
  • Abstract
    Nowadays supply chain sustainability efforts are continuing to grow globally.  While the focus of typical supply chain management mostly is on the speed, cost and reliability of operations, sustainable supply chain management adds the goals of upholding environmental, financial and social responsibilities. Although the worth of supply chain management in large-scale projects, in particular, the construction industry has been recognized currently, its execution remains subject to significant challenges. One of the main challenges is the complexity of the sustainable suppliers’ selection. They can enhance the profitability and success of the project-oriented construction organizations. In this respect, this article aims to apply fuzzy Utilities-Additives STAR (UTASTAR), the extended Utilities Additives Method for multiple criteria decision, to select sustainable suppliers and evaluate general utility function of the problem. Finally, since this method belongs to compensatory multi-criteria decision-making models the results obtained through the application of the fuzzy UTASTAR were compared with some selected models from the compensatory subgroup. According to comparative results, fuzzy UTASTAR can identify deviation from actual utility of alternatives using upper and lower estimations. As a result, this study shows that the rankings produced by the fuzzy UTASTAR method are more trustworthy for selecting suppliers in ensuring the sustainable development.
  • Keywords
    Decision support system , Utilities , Additives STAR , STAR Method , Sustainable supplier selection , Construction Industry
  • Journal title
    International Journal of Engineering
  • Journal title
    International Journal of Engineering
  • Record number

    2776996