• DocumentCode
    2152305
  • Title

    Research on Supplier Performance Evaluation Model Based on Data Mining

  • Author

    Wang, Jiabin ; Wang, Hechun

  • Author_Institution
    Sch. of Manage., Shenyang Normal Univ., Shenyang, China
  • fYear
    2010
  • fDate
    24-26 Aug. 2010
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    With the big and complete enterprise disintegrating gradually In the market competition of global economy integration, the relation among enterprises present the obvious network tendency day by day, supply chain management (SCM)obtain universal application in the Manufacturing enterprises, becomes one kind of new management pattern. Now enterprises come to realize that effective supply chain management, which would have to assess supply chain performance. However, scientific, objective and comprehensive analysis and evaluation of the supply chain operating performance is an urgent problem need to be addressed. Based on analyzing the present fact of domestic and international vendor performance evaluation, Based on the construction of index system for supply chain supplier ability evaluation and analysis, a new method is presented in this paper which apply the principal component analysis and fisher method. It may overcome the existing methods shortcomings and contribute to the supplier selection, the analysis result might be taken as one of main reference for outsourcing decision making. Finally, the model is approved by a case provided which is practical and effective. The result shows that the model could reflect the gener capabilities of the supplier objectively and fairly and achieve an effective evaluation on supplier performance.
  • Keywords
    data mining; performance evaluation; principal component analysis; supply chain management; data mining; domestic vendor performance evaluation; fisher method; international vendor performance evaluation; principal component analysis; supplier performance evaluation model; supply chain management; Appraisal; Indexes; Manufacturing; Performance evaluation; Supply chain management; Supply chains; Synthetic aperture sonar;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Management and Service Science (MASS), 2010 International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-5325-2
  • Electronic_ISBN
    978-1-4244-5326-9
  • Type

    conf

  • DOI
    10.1109/ICMSS.2010.5576348
  • Filename
    5576348