• DocumentCode
    2856417
  • Title

    Application of fuzzy-AHP extent analysis for supplier selection in an apparel manufacturing organization

  • Author

    Rahman, M.M. ; Ahsan, K.B.

  • Author_Institution
    Dept. of Ind. Eng. & Manage., Khulna Univ. of Eng. & Technol., Khulna, Bangladesh
  • fYear
    2011
  • fDate
    6-9 Dec. 2011
  • Firstpage
    1204
  • Lastpage
    1208
  • Abstract
    A supplier selection is inherently a multi-criterion decision making problem. It must be systematically considered as it is a decision of strategic importance of companies. Lots of models have been developed to find an optimum solution of this complex and unstructured decision making problem. Fuzzy Analytic Hierarchy Process (Fuzzy AHP), which is a synthetic extension of classical AHP, is one of the best method for deciding among the complex structure at different levels. In this paper an extent analysis of fuzzy analytic hierarchy process (AHP) has been applied to evaluate and select the best supplier firm providing most satisfaction. The evaluation criteria are developed particularly for an apparel manufacturing organization and used successfully in the proposed model. A detailed step-by-step implementation method is presented in this paper and finally the best supplier was selected to prove the validity of the method.
  • Keywords
    clothing industry; decision making; fuzzy set theory; organisational aspects; supply chain management; analytic hierarchy processing; apparel manufacturing organization; fuzzy-AHP extent analysis; multicriterion decision making problem; supplier selection; Companies; Decision making; Manufacturing; Standards organizations; Supply chains; Tin; AHP; Extent Analysis; Fuzzy; Selection Criteria; Supplier Selection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Engineering and Engineering Management (IEEM), 2011 IEEE International Conference on
  • Conference_Location
    Singapore
  • ISSN
    2157-3611
  • Print_ISBN
    978-1-4577-0740-7
  • Electronic_ISBN
    2157-3611
  • Type

    conf

  • DOI
    10.1109/IEEM.2011.6118106
  • Filename
    6118106