• DocumentCode
    495680
  • Title

    A Fuzzy Evaluation Model of the Performance Evaluation for the Reverse Logistics Management

  • Author

    Jun, Wang

  • Author_Institution
    Zhongkai Univ. of Agric. & Technol., Guangzhou, China
  • Volume
    1
  • fYear
    2009
  • fDate
    March 31 2009-April 2 2009
  • Firstpage
    724
  • Lastpage
    727
  • Abstract
    The objective of this study is to construct an easy operational model to evaluate the performance of the reverse logistics management. To fulfill this mission, the main contributions were made as following: a) Defining the indicators of each factors related with performance of the RL management. CSFs (critical success factors) method was employed in this phase. b) Arranging the indicators into an indicator-tree by AHP (analytic hierarchy process) methods. c) Using the fuzzy evaluation method build up a fuzzy evaluation model to evaluate the performance of the RL management in a company. The model presented in this research showed an easy way to evaluate the performance of RL management in a company. This should be a better try in this field.
  • Keywords
    fuzzy set theory; reverse logistics; trees (mathematics); CSF method; RL management; analytic hierarchy process method; critical success factor method; fuzzy evaluation model; indicator-tree mathematics; reverse logistics management; Agricultural engineering; Agriculture; Computer science; Costs; Engineering management; Legislation; Performance analysis; Process planning; Reverse logistics; Technology management; Fuzzy Synthetic Evaluation; Performance Evaluation; Reverse Logistics Management;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Information Engineering, 2009 WRI World Congress on
  • Conference_Location
    Los Angeles, CA
  • Print_ISBN
    978-0-7695-3507-4
  • Type

    conf

  • DOI
    10.1109/CSIE.2009.789
  • Filename
    5171269