• DocumentCode
    476099
  • Title

    TOPSIS method for green vendor selection in coal industry group

  • Author

    Wu, Li-yun ; Yang, Yu-zhong

  • Author_Institution
    Sch. of Energy Sci. & Eng., Henan Polytech. Univ., Jiaozuo
  • Volume
    3
  • fYear
    2008
  • fDate
    12-15 July 2008
  • Firstpage
    1721
  • Lastpage
    1725
  • Abstract
    Green vendor selection is a key phase in green supply chain management. The system of evaluation indices for vendor selection was put forward based on coal industry group. At the same time, the multi-level model of TOPSIS (technique for order preference by similarity to ideal solution), which is based on entropy weight, was constructed. The subjectivity which lies in ascertaining factorspsila weights in lower hierarchy was avoided in this model. So the evaluation result is more objective than other evaluation methods. The improved decision model was applied in vendor selection in Ping Dingshan coal industry group. The order preference of vendors is attained. The excellent vendor and perfect vendors are ascertained for the enterprise. Whatpsilas more, the difference among these vendors can be gained as well. The evaluation result indicates that this method be more reasonable and easier to grasp than other methods. As a result, it is easier to popularize this evaluation method in enterprises.
  • Keywords
    coal; entropy; environmental factors; mining industry; statistical analysis; supply chain management; Ping Dingshan; TOPSIS method; coal industry group; entropy weight; green supply chain management; green vendor selection; technique for order preference by similarity; Costs; Cybernetics; Entropy; Fuel processing industries; Inventory management; Machine learning; Power engineering and energy; Protection; Supply chain management; Supply chains; Entropy weight; Relative adjacent degree; TOPSIS; Vendor selection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Cybernetics, 2008 International Conference on
  • Conference_Location
    Kunming
  • Print_ISBN
    978-1-4244-2095-7
  • Electronic_ISBN
    978-1-4244-2096-4
  • Type

    conf

  • DOI
    10.1109/ICMLC.2008.4620683
  • Filename
    4620683