• DocumentCode
    497049
  • Title

    The Green Degree Assessment of the Automobile Reverse Logistics System

  • Author

    Xiangru, Meng ; Wei, Song

  • Author_Institution
    Dept. of Transp. & Logistics Eng., Shandong Jiaotong Univ., Jinan, China
  • Volume
    1
  • fYear
    2009
  • fDate
    4-5 July 2009
  • Firstpage
    112
  • Lastpage
    115
  • Abstract
    With the development of production and the social progress, reverse logistics problem becomes more important; In China, along with strengthen of people environmental protection consciousness and can keep on development strategic of thorough public, the recovery of old product also be subjected to extensive concern. On the one hand, society appeals to the appropriate treatment of used product, on the other hand, companies also start pay attention to how to make better use of resources. That´s all the problem of recovery logistics. This paper use the fuzzy comprehensive analysis method to judge the green degree of the automobile of reverse logistics, and to builds up a green degree factor sets, adopt the power value factor judgment method to made sure weighting of the assessment index sign, build up comment sets, construct and a adjudicated matrix in an experts investigating method, then get fuzzy result of the green degree of reverse logistics by calculating.
  • Keywords
    automobiles; environmental factors; fuzzy set theory; matrix algebra; reverse logistics; adjudicated matrix; assessment index sign; automobile reverse logistics system; fuzzy comprehensive analysis method; green degree assessment; people environmental protection consciousness; Automobile manufacture; Automotive materials; Companies; Fuzzy sets; Petroleum; Power system management; Raw materials; Recycling; Reverse logistics; Vehicles; automobile; green degree; reverse logistics system; the fuzzy comprehensive analysis method;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Environmental Science and Information Application Technology, 2009. ESIAT 2009. International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-0-7695-3682-8
  • Type

    conf

  • DOI
    10.1109/ESIAT.2009.11
  • Filename
    5200077