• DocumentCode
    2548093
  • Title

    Modeling supplier selection and the use of individual advantage characteristics for high-quality supply chain design

  • Author

    Zhu, Z. ; Zhu, Y.L.

  • Author_Institution
    Key Lab. of Ind. Inf., Chinese Acad. of Sci., Shenyang, China
  • fYear
    2009
  • fDate
    21-23 Oct. 2009
  • Firstpage
    1534
  • Lastpage
    1538
  • Abstract
    Without considering the individual advantage characteristic of different suppliers, the existing method of the supplier quality evaluation, and/or supplier selection, had mostly been used in the same scale with the idea of the "Uniform". This essay improved the existing method of the supplier quality evaluation, proposing a method based on individual advantage characteristic. According to the idea of goal programming and q-norm distance, weight coefficient was determined from the angle which is the most propitious to evaluated object. On the basis, an evaluation model based on individual advantage characteristic was constructed. The method proposed in this essay considered the individual advantage characteristic of different suppliers, which could lead the enterprises to identify the individual advantages of the different suppliers and choose the most suitable supplier for them for high-quality supply chain design.
  • Keywords
    mathematical programming; supply chain management; goal programming; high-quality supply chain design; individual advantage characteristic; q-norm distance; supplier quality evaluation; supplier selection; weight coefficient; Automation; Costs; Data envelopment analysis; Decision making; Informatics; Laboratories; Procurement; Production systems; Research and development; Supply chains; Decision making; individual advantage characteristic; modeling; supplier´s quality; supply chain;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Engineering and Engineering Management, 2009. IE&EM '09. 16th International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-3671-2
  • Electronic_ISBN
    978-1-4244-3672-9
  • Type

    conf

  • DOI
    10.1109/ICIEEM.2009.5344368
  • Filename
    5344368