Title: Analysis of interactions among sustainability supplier selection criteria using ISM and fuzzy DEMATEL

Authors: Mohammad Reza Mehregan; Seyed Hamid Hashemi; Amir Karimi; Babak Merikhi

Addresses: Department of Industrial Management, Faculty of Management, University of Tehran, Jalal Al-e-Ahmad Ave., 14179-63193, Tehran, Iran ' Department of Industrial Management, Faculty of Management, University of Tehran, Jalal Al-e-Ahmad Ave., 14179-63193, Tehran, Iran ' Department of Industrial Management, Faculty of Management, University of Tehran, Jalal Al-e-Ahmad Ave., 14179-63193, Tehran, Iran ' Iranian Gas Engineering and Development Company, Mofatteh Crossroads, Taleqani Ave., Tehran, Iran

Abstract: Sustainable supply chain management has received much attention form researchers and practitioners over the past decade owing to the increasing awareness regarding environmental and social issues. Accordingly, organisations come under pressure from a number of both internal and external sources including employees, customers, competitors, socially aware organisations, communities, governments, and non-governmental organisations to act in a more socially responsible way. As a result, more authors are beginning to address supplier selection problems in light of sustainability criteria. However, the interrelationships among sustainability supplier selection criteria have rarely been discussed in the research literature. This study is aimed primarily at finding and analysing such interactions. We made use of interpretive structural modelling to extract the interrelationships among sustainability criteria and fuzzy decision-making trial and evaluation laboratory to determine the intensity of these relationships. A case study in the gas industry is presented to demonstrate the feasibility and efficacy of the proposed approach.

Keywords: sustainability; interpretive structural modelling; ISM; fuzzy DEMATEL; decision making; FDEMATEL; fuzzy logic; supplier selection; sustainable SCM; supply chain management; case study; gas industry.

DOI: 10.1504/IJADS.2014.063226

International Journal of Applied Decision Sciences, 2014 Vol.7 No.3, pp.270 - 294

Received: 29 Aug 2013
Accepted: 03 Sep 2013
Published online: 19 Jul 2014 *

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