• Title of article

    Sustainable procurement decision of electric coal under fuzzy information environment

  • Author/Authors

    Rao, C. School of Science - Wuhan University of Technology, Wuhan, China , Wang, C. School of Mathematics and Economics - Hubei University of Education, China , Hu, Z. College of Automation - Wuhan University of Technology, Wuhan, China , Meng, Y. School of Science - Wuhan University of Technology, Wuhan, China , Liu, M. School of Science - Wuhan University of Technology, Wuhan, China

  • Pages
    10
  • From page
    1039
  • To page
    1048
  • Abstract
    Green supply chain management is a crucial challenge for the sustainable development of enterprises. This study investigates the problem of supplier selection for the multi-attribute and multi-source green procurement of electric coal under fuzzy information environment. Concretely, a new index system of supplier selection is established by considering both the economic and environmental factors; then, a multi-attribute decisionmaking method based on 2-tuple deviation degree is presented to rank all alternative suppliers in the green procurement of electric coal. The implementation, availability, and feasibility of the green procurement decision method of electric coal are also highlighted by using an example of the multi-source procurement of electricity coal. An attempt is made to provide a theoretical basis and decision-making reference for the thermal power enterprise to implement scientic green procurement management of electric coal.
  • Keywords
    Electric coal , Multi-attribute and multi-source procurement , Supplier selection , Linguistic fuzzy variable , 2-tuple , 2-tuple deviation degree
  • Journal title
    Scientia Iranica(Transactions E: Industrial Engineering)
  • Serial Year
    2019
  • Record number

    2524931