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
Link To Document :
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