• DocumentCode
    2632234
  • Title

    Lifetime-Based Supplier Selection for the Exponential Model with Censored and Imprecise Information

  • Author

    Tzeng, Ying-Yu ; Hsu, Bi-Min ; Shu, Ming-Hung

  • Author_Institution
    Dept. of Ind. Eng. & Manage., Nat. Kaohsiung Univ. of Appl. Sci., Kaohsiung
  • fYear
    2008
  • fDate
    18-20 June 2008
  • Firstpage
    49
  • Lastpage
    49
  • Abstract
    Since the censored and imprecise information are ubiquitous in the real world, under this fuzzy environment, the supplier selection based on the lifetime for the exponential model is proposed in this paper. The fuzzy estimates ^tp L% of lifetime capability indices tp L of suppliers are obtained according to the approach taken by Buckley [3][4] and the Zadeh´s [14] extension principle in fuzzy sets theory. Some optimization problems are formulated and solved to obtain the -level sets for the purpose of constructing the membership function of fuzzy estimate of capability index for each supplier. The presented methodology takes into consideration an interval of imprecision in the sample data and leads to a three-decision rule with the FLCB decision chart. Finally, a numerical example is illustrated to present the possible application by incorporating the censored and imprecise information into the problem of supplier selection.
  • Keywords
    fuzzy set theory; supply chain management; FLCB decision chart; capability index; censored information; exponential model; fuzzy environment; fuzzy sets theory; imprecise information; level sets; lifetime-based supplier selection; membership function; three-decision rule; Engineering management; Environmental management; Fuzzy set theory; Fuzzy sets; Industrial engineering; Life estimation; Life testing; Lifetime estimation; Performance analysis; Supply chains;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Innovative Computing Information and Control, 2008. ICICIC '08. 3rd International Conference on
  • Conference_Location
    Dalian, Liaoning
  • Print_ISBN
    978-0-7695-3161-8
  • Electronic_ISBN
    978-0-7695-3161-8
  • Type

    conf

  • DOI
    10.1109/ICICIC.2008.338
  • Filename
    4603238