Title: Multi-objective decision modelling using interpretive structural modelling for green supply chains

Authors: Sachin Mangla; Jitendra Madaan; P.R.S. Sarma; M.P. Gupta

Addresses: Department of Mechanical and Industrial Engineering, Indian Institute of Technology, Roorkee, Uttrakhand, 247667, India ' Department of Management Studies, Indian Institute of Technology, Delhi, New Delhi, 110016, India ' GITAM School of International Business, GITAM University, Visakhapatnam, Andhra Pradesh, 530045, India ' Department of Management Studies, Indian Institute of Technology, New Delhi, 110016, India

Abstract: Due to increasing awareness among consumers and government legislations for preserving environment manufacturing firm's needs to identifies and analyse the various variables involved in their supply chains. While, the identification of key variables for organisations those either implemented or thinking to initiate green activities in supply chains is a challenge. This paper provides an interpretive structural modelling (ISM)-based approach to implement and initiate green activities in supply chains. Variables such as supplier and stakeholder commitment, cost benefits, environmental issue, and customer redundancy, etc., have been identified and categorised under enablers; green and sustainable products, processing time and green productivity and efficiency, etc., under results. The research result interprets the variables possessing higher driving power requires high attention. Finally, proposed a model to present the ISM-based hierarchy in order of preference of variables in GSC. The variables in proposed ISM model are input through a case paper industry in northern India.

Keywords: driving power; dependence power; green supply chains; GSC; interpretive structural modelling; ISM; MICMAC analysis; recycling; reverse logistics; sustainability; sustainable development; multi-objective decision modelling; supply chain management; SCM; environmental manufacturing; paper industry; India.

DOI: 10.1504/IJLSM.2014.059113

International Journal of Logistics Systems and Management, 2014 Vol.17 No.2, pp.125 - 142

Available online: 05 Feb 2014 *

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