Title: Quantitative assessment of mutual relationship of issues experienced in greening supply chain using ISM-fuzzy MICMAC approach

Authors: Deepak Kumar; Siddharth Jain; Mohit Tyagi; Pradeep Kumar

Addresses: Department of Mechanical and Production and Industrial Engineering, Delhi Technological University, Delhi, India ' Department of Mechanical and Automation Engineering, Maharaja Agrasen Institute of Technology, Delhi, India ' Department of Mechanical and Production and Industrial Engineering, Delhi Technological University, Delhi, India ' Department of Mechanical and Industrial Engineering, Indian Institute of Technology, Roorkee, India

Abstract: The present research work deals with the identification of the issues, which act as major barriers in greening supply chain. On the basis of literature review and discussion with the field experts, the eleven green supply chain issues were identified and analysed by using interpretive structural modelling (ISM). To visualise the driving and dependency nature of the identified issues, ISM model has been developed. The developed ISM model would help to understand the direct relationship among the considered issues. Further, to establish the direct and indirect relationship of one issue with respect to each other issue, fuzzy MICMAC has been used. The outcomes of this analysis may help the managers to build a path in order to improve the GSCM system of an organisation in respect of maximum economic output with minimum environmental impact.

Keywords: green supply chain management; GSCM; interpretive structural modelling; ISM; structural self-interaction matrix; SSIM; fuzzy MICMAC; green issues.

DOI: 10.1504/IJLSM.2018.091960

International Journal of Logistics Systems and Management, 2018 Vol.30 No.2, pp.162 - 178

Received: 08 Sep 2016
Accepted: 25 Nov 2016

Published online: 23 May 2018 *

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