Performance evaluation of green supply chain management using integrated fuzzy multi-criteria decision making techniques

Green Supply Chain Management (GSCM) predicates minimizing or preferably eliminating negative effects of supply chain operations on the environment. Companies have to enhance their capability on GSCM activities based on not only emerging environmental regulations but also enthusiastic politics of the companies about environmental practices. GSCM requires multi-dimensional approaches, thus multi-criteria decision making (MCDM) techniques should be implemented while evaluating GSCM performance of companies. Moreover, fuzzy group decision making methods should be implemented in order to seek solutions for vague and complex multi-attribute problems in fuzzy environment. In this study, a model based on integrated fuzzy MCDM methods is proposed for evaluating GSCM performance of companies in terms of green design, green purchasing, green transformation, green logistics and reverse logistics. The cause and effect interrelationship amongst GSCM dimensions is figured out using fuzzy DEMATEL method. Then, based on this interrelationship, fuzzy ANP method is implemented for calculating the weights of the related criteria. Finally, fuzzy TOPSIS method is applied by using the weights obtained from fuzzy ANP method, for evaluating and ranking the GSCM performance of alternative companies. (C) 2016 Elsevier Ltd. All rights reserved.