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

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• 作者：Atefeh Amindoust^a ; ^{Atefeh_Amindoust@yahoo.com} ; Shamsuddin Ahmed^a ; ¹ ; ^{Ahmed@um.edu.my} ; Ali Saghafinia^b ; ² ; ^{Saghafi_ali@yahoo.com} ; Ardeshir Bahreininejad^a ; ³ ; ^{bahreininejad@um.edu.my}
• 关键词：Sustainable supplier selection ; Supply chain management ; Fuzzy inference system
• 刊名：Applied Soft Computing Journal
• 出版年：2012
• 期刊代码：9_15684946
• 类别：cp
• 出版时间：June, 2012
• 卷：12
• 期：6
• 页码：1668-1677
• 文件大小：1468 K

摘要

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鈥?opinions on the importance of deciding the criteria and sub-criteria, in addition to their preference of the suppliers鈥?performance with respect to sub-criteria are considered in linguistic terms. To handle the subjectivity of decision makers鈥?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.