• DocumentCode
    2499787
  • Title

    A fuzzy evaluation approach for partnership selection on the supply chain

  • Author

    Weng, Xiaobin ; Zhou, Gengui ; Chao, Jian

  • Author_Institution
    Inst. of Inf. Intell. & Decision-Making Optimization, Zhejiang Univ. of Technol., Hangzhou
  • fYear
    2008
  • fDate
    25-27 June 2008
  • Firstpage
    8317
  • Lastpage
    8322
  • Abstract
    For years, researchers and practitioners have primarily investigated the various processes and models on supply chain management. Recently, however, there has been increasing attention placed on partnership selection, which represents a new way of managing the business and relationships with other partners on supply chain. Because of the uncertainty of market, it is not always easy for the decision-maker(s) in business to select a proper partner or partners. In this paper, a new fuzzy AHP (analytic hierarchy process) model is proposed to deal with the partnership selection problem, combined with the basic fuzzy set theory. In a sense, it means that the consistent degree of judgments or opinions could be provided by different experts in the process of partnership selection, which is enable for managers to obtain fair and reasonable conclusions. A practical case in Chinese company is introduced and the effectiveness of partnership selection by the proposed method is illustrated on the basis of this model.
  • Keywords
    fuzzy set theory; supply chain management; analytic hierarchy process; fuzzy evaluation; fuzzy set theory; partnership selection; supply chain management; Automation; Chaos; Decision making; Decision theory; Fuzzy control; Fuzzy set theory; Intelligent control; Supply chain management; Supply chains; Uncertainty; Analytic Hierarchy Process; Partnership Selection; Supply Chain Management; Triangular Fuzzy Number;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control and Automation, 2008. WCICA 2008. 7th World Congress on
  • Conference_Location
    Chongqing
  • Print_ISBN
    978-1-4244-2113-8
  • Electronic_ISBN
    978-1-4244-2114-5
  • Type

    conf

  • DOI
    10.1109/WCICA.2008.4594231
  • Filename
    4594231