• DocumentCode
    2450356
  • Title

    The Grey Comprehensive Evaluation Model of a Third-party Reverse Ligistics Provider Selection

  • Author

    Yin Zhi-hong ; Lu Qiang

  • Author_Institution
    Sch. of Econ. & Manage., Daqing Pet. Inst., Daqing, China
  • fYear
    2009
  • fDate
    25-26 April 2009
  • Firstpage
    497
  • Lastpage
    500
  • Abstract
    With the development and advancement of reverse logistics concepts and practice, the evaluation and selection of vendors or partners for the specific function of reverse logistics support becomes more important. This paper firstly analyses the framework of selecting a third-party reverse logistics provider. Next, this paper presents a set of evaluation index system for choosing a third-party reverse logistics provider. A grey comprehensive evaluation model based on analytical hierarchy process and grey relational analysis, is then proposed according to features of uncertainty on quantity, quality, time and place of reverse logistics returns. The final section provides some suggestions for further research. This paper provides the reference model for enterprises to choose third-party reverse logistics providers.
  • Keywords
    decision making; grey systems; reverse logistics; analytical hierarchy process; evaluation index system; grey comprehensive evaluation model; grey relational analysis; third-party reverse logistics provider selection; Artificial intelligence; Educational institutions; Electronic mail; Financial management; Petroleum; Quality management; Reverse logistics; Risk management; Supply chains; Technology management; analytical hierarchy process (AHP); grey comprehensive evaluation; grey relational analysis (GRA); third-party reverse logistics providers;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Artificial Intelligence, 2009. JCAI '09. International Joint Conference on
  • Conference_Location
    Hainan Island
  • Print_ISBN
    978-0-7695-3615-6
  • Type

    conf

  • DOI
    10.1109/JCAI.2009.61
  • Filename
    5159050