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

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 base...

Full description

Bibliographic Details
Main Authors:	Amindoust, A., Ahmed, S., Saghafinia, A., Bahreininejad, A.
Format:	Article
Published:	2012
Subjects:	TS Manufactures
Online Access:	http://eprints.um.edu.my/7605/

id	um-7605
recordtype	eprints
spelling	um-76052013-08-01T01:52:19Z Sustainable supplier selection: a ranking model based on fuzzy inference system Amindoust, A. Ahmed, S. Saghafinia, A. Bahreininejad, A. TS Manufactures 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. 2012 Article PeerReviewed Amindoust, A.; Ahmed, S.; Saghafinia, A.; Bahreininejad, A. (2012) Sustainable supplier selection: a ranking model based on fuzzy inference system. Applied Soft Computing <http://eprints.um.edu.my/view/publication/Applied_Soft_Computing.html>, 12 (6). pp. 1668-1677. ISSN 1568-4946 http://eprints.um.edu.my/7605/
repository_type	Digital Repository
institution_category	Local University
institution	University Malaya
building	UM Research Repository
collection	Online Access
topic	TS Manufactures
spellingShingle	TS Manufactures Amindoust, A. Ahmed, S. Saghafinia, A. Bahreininejad, A. Sustainable supplier selection: a ranking model based on fuzzy inference system
description	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.
format	Article
author	Amindoust, A. Ahmed, S. Saghafinia, A. Bahreininejad, A.
author_facet	Amindoust, A. Ahmed, S. Saghafinia, A. Bahreininejad, A.
author_sort	Amindoust, A.
title	Sustainable supplier selection: a ranking model based on fuzzy inference system
title_short	Sustainable supplier selection: a ranking model based on fuzzy inference system
title_full	Sustainable supplier selection: a ranking model based on fuzzy inference system
title_fullStr	Sustainable supplier selection: a ranking model based on fuzzy inference system
title_full_unstemmed	Sustainable supplier selection: a ranking model based on fuzzy inference system
title_sort	sustainable supplier selection: a ranking model based on fuzzy inference system
publishDate	2012
url	http://eprints.um.edu.my/7605/
first_indexed	2018-09-06T05:27:30Z
last_indexed	2018-09-06T05:27:30Z
_version_	1610834667529830400

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

Similar Items