• DocumentCode
    2971799
  • Title

    Supplier evaluation with quality-based fuzzy data

  • Author

    Chiang, Ching-Yi ; Shu, Ming-Hung

  • Author_Institution
    Dept. of Ind. Eng. & Manage., Nat. Kaohsiung Univ. of Appl. Sci., Kaohsiung, Taiwan
  • fYear
    2009
  • fDate
    8-11 Dec. 2009
  • Firstpage
    472
  • Lastpage
    476
  • Abstract
    Supplier evaluation and selection is one of the most critical activities of purchasing management in a supply chain. On the regular basis, managers constantly evaluate quality characteristics of suppliers´ products and make decisions to select preferred suppliers. Fuzzy quality data commonly exists in the reality world. Under this fuzzy environment, we propose a quality-based supplier evaluation based on the fuzzy-capability index (FCI) in this paper. We first apply the resolution identity theorem to construct the membership function of FCI for each supplier. With these FCIs´ membership functions, a ranking method known as a fuzzy preference relation of FCI is then adopted to select the preferred suppliers. Finally, a case study of touch screens is provided to illustrate the applicability of incorporating the fuzzy quality data into the problem of quality-based supplier evaluation and selection.
  • Keywords
    fuzzy set theory; purchasing; fuzzy-capability index membership function; purchasing management; quality-based fuzzy data; resolution identity theorem; supplier evaluation; supplier products; Cities and towns; Costs; Engineering management; Fuzzy set theory; Fuzzy sets; Industrial engineering; Production; Quality management; Supply chain management; Supply chains; Fuzzy number; Fuzzy preference relation; Resolution identity;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Engineering and Engineering Management, 2009. IEEM 2009. IEEE International Conference on
  • Conference_Location
    Hong Kong
  • Print_ISBN
    978-1-4244-4869-2
  • Electronic_ISBN
    978-1-4244-4870-8
  • Type

    conf

  • DOI
    10.1109/IEEM.2009.5373304
  • Filename
    5373304