• DocumentCode
    479706
  • Title

    Study on reclaiming agent selection models and approaches

  • Author

    Wang, Ruijiang ; Ru, Yihong ; Zhu, Xiaoxia

  • Author_Institution
    Sch. of Econ. & Manage., Beijing Jiaotong Univ., Beijing
  • Volume
    1
  • fYear
    2008
  • fDate
    12-15 Oct. 2008
  • Firstpage
    1262
  • Lastpage
    1267
  • Abstract
    Facing environmental pollution and non-renewable resources day after day depletion, the traditional mode of operation of enterprises subject to challenge. Reverse logistics system has aroused attention, During the process of implementing reverse supply chains management, manufacturers must select optimum reclaiming agent in order to take the task of manufacturer´s outspread duties. In this paper, on the basis of discussing the importance of selecting optimum reclaiming agent, firstly constructed process frame and evaluating index system of selecting reclaiming agent, then constructed reclaiming agent selection models. The model can be used to making decision of selecting optimum reclaiming agent. This model proposed efficient foundation for decision-maker to make scientific choice. Finally, this paper gives a case to verify the feasibility and maneuverability of this model.
  • Keywords
    decision making; genetic algorithms; pollution; reverse logistics; rough set theory; supply chain management; agent selection models; decision-maker; environmental pollution; genetic algorithm; non-renewable resources; reverse logistics system; reverse supply chains management; rough set; Environmental economics; Manufacturing processes; Power generation economics; Production; Protection; Recycling; Supply chain management; Supply chains; Sustainable development; Testing; Comprehensive Evaluation; Fuzzy Assignment Problem; Genetic Algorith; Multiple Attribute Decision Making; Reclaiming Agent Selection; Rough Set;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Service Operations and Logistics, and Informatics, 2008. IEEE/SOLI 2008. IEEE International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-2012-4
  • Electronic_ISBN
    978-1-4244-2013-1
  • Type

    conf

  • DOI
    10.1109/SOLI.2008.4686593
  • Filename
    4686593