• DocumentCode
    2215056
  • Title

    The Analysis of Third Party Logistics Based on Cluster Evaluation Mode

  • Author

    Wang, Hechun ; Wang, Jiabin

  • Author_Institution
    Sch. of Manage., Shenyang Normal Univ., Shenyang
  • Volume
    1
  • fYear
    2008
  • fDate
    19-21 Dec. 2008
  • Firstpage
    390
  • Lastpage
    393
  • Abstract
    With the development of economy, the logistics outsouring gradually increases. It is an important tache to assess and select third party logistics justly and equitably in the outsourcing process of enterprises. And whether an appropriate third party logistics vendor choosed has become the key to enhance the core competence, low logistics cost, optimize inside and outside resource but whether above aims can be achieved depends on the ability and service of logistics vendors. It is of critical importance to the success of enterprise´s outsourcing to choose an appropriate third party logistics vendor. However, the evaluations currently are carried out by the evaluators manually through analyzing the financial indices of the third party logistics, which not only is too objective but also break the relevancies among the indices. The index system used to evaluate the business features of the third part logistics is constructed. A quantitative approach is adopted to assess the third part logistics through cluster method of multivariate statistical analysis. The method can be regarded as an important method for classifying third party logistics. Moreover, this method not only overcomes the above drawbacks but also contributes to the classification of the third party logistics vendors on the basis of some objective information provided by this method.
  • Keywords
    financial management; logistics; outsourcing; service industries; statistical analysis; cluster evaluation mode; enterprise outsourcing; financial indices; logistics outsouring; logistics vendors; multivariate statistical analysis; third party logistics; Conference management; Engineering management; Industrial engineering; Information management; Innovation management; Logistics; Outsourcing; Resource management; Statistical analysis; Technology management;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Management, Innovation Management and Industrial Engineering, 2008. ICIII '08. International Conference on
  • Conference_Location
    Taipei
  • Print_ISBN
    978-0-7695-3435-0
  • Type

    conf

  • DOI
    10.1109/ICIII.2008.57
  • Filename
    4737569