Sustainable supplier selection: a ranking model based on fuzzy inference system

Amindoust, A. and Ahmed, S. and Saghafinia, A. and Bahreininejad, A. (2012) Sustainable supplier selection: a ranking model based on fuzzy inference system. Applied Soft Computing, 12 (6). pp. 1668-1677. ISSN 1568-4946

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Abstract

In these days, considering the growth of knowledge about sustainability in enterprise, the sustainable supplier selection would be the central component in the management of a sustainable supply chain. In this paper the sustainable supplier selection criteria and sub-criteria are determined and based on those criteria and sub-criteria a methodology is proposed onto evaluation and ranking of a given set of suppliers. In the evaluation process, decision makers' opinions on the importance of deciding the criteria and sub-criteria, in addition to their preference of the suppliers' performance with respect to sub-criteria are considered in linguistic terms. To handle the subjectivity of decision makers' assessments, fuzzy logic has been applied and a new ranking method on the basis of fuzzy inference system (FIS) is proposed for supplier selection problem. Finally, an illustrative example is utilized to show the feasibility of the proposed method. (C) 2012 Elsevier B. V. All rights reserved.

Item Type: Article
Additional Information: you can e-mail to me for the full text of my journal at ahmed@um.edu.my
Uncontrolled Keywords: Sustainable supplier selection supply chain management fuzzy inference system network process management algorithm criteria industry
Subjects: T Technology > TS Manufactures
Divisions: Faculty of Engineering
Depositing User: Mr. Mohammed Salim Abd Rahman
Date Deposited: 01 Aug 2013 01:52
Last Modified: 01 Aug 2013 01:52
URI: http://eprints.um.edu.my/id/eprint/7605

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