• DocumentCode
    3637844
  • Title

    An application of fuzzy Topsis method for supplier selection

  • Author

    Mehmet Sevkli;Selim Zaim;Ali Turkyilmaz;Metin Satir

  • Author_Institution
    Industrial Engineering Department Fatih Unı
  • fYear
    2010
  • Firstpage
    1
  • Lastpage
    7
  • Abstract
    Supplier selection is vital to the success of a manufacturing firm. Supplier selection is a multi criteria decision making (MCDM) problem and has a strategic importance for most companies. As the conventional methods for supplier selection are inadequate for dealing with the imprecise or vague nature of linguistic assessment, a new method called fuzzy technique for order preference by similarity to ideal solution (TOPSIS) is proposed. The aim of this study is to compare and contrast crisp and fuzzy TOPSIS methods for the supplier selection. The proposed methods are applied to a manufacturing company in Turkey. After determining the criteria that affect the supplier selection decisions, the results for both crisp and fuzzy TOPSIS methods are presented.
  • Keywords
    "Pragmatics","Industries","Companies","Fuzzy sets","Minimization","Shafts"
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems (FUZZ), 2010 IEEE International Conference on
  • ISSN
    1098-7584
  • Print_ISBN
    978-1-4244-6919-2
  • Type

    conf

  • DOI
    10.1109/FUZZY.2010.5584006
  • Filename
    5584006