• DocumentCode
    2071258
  • Title

    Quantitative Research on Automobile Logistics Performance Evaluation Model

  • Author

    Wang, Hechun ; Wang, Jiabin

  • Author_Institution
    Sch. of Manage., Shenyang Normal Univ., Shenyang, China
  • fYear
    2009
  • fDate
    20-22 Sept. 2009
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Automobile industry is the national economy´s pillar industries,and the development of automobile logistics development make a directly impact on the development of the auto industry.The proper evaluation of automobile logistics would enhance auto enterprise core competence,improve added-value service,reduce cost and optimize enterprise resources etc.the logistics outsouring gradually increases along with economic development.lt is of critical importance to the success of enterprise outsouring to choose an appropriate automobile logistics vendor.Based on the construction of index system for automobile logistics ability evaluation and analysis,a new method is presented in this paper which apply the principal component analysis and fisher method. lt may overcome the existing methods shortcomings and contribute to the automobile logistics vendors selection.the analysis result might be taken as one of main reference for outsouring decision making.
  • Keywords
    automobile industry; decision making; logistics; performance evaluation; principal component analysis; added-value service improvement; automobile industry; cost reduction; economic development; enterprise core competence; fisher method; logistics outsouring; logistics performance evaluation model; principal component analysis; Automobiles; Automotive engineering; Computer displays; Construction industry; Industrial economics; Logistics; Material storage; Performance analysis; Research and development management; Resource management;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Management and Service Science, 2009. MASS '09. International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-4638-4
  • Electronic_ISBN
    978-1-4244-4639-1
  • Type

    conf

  • DOI
    10.1109/ICMSS.2009.5300977
  • Filename
    5300977