Title: ISM-fuzzy MICMAC approach for analysis of GSCM enablers

Authors: A.S. Dube; R.R. Gawande

Addresses: Department of Mechanical Engineering, Sandip Institute of Engineering and Management, Nashik – 422213, India ' Department of Mechanical Engineering, Bapurao Deshmukh College of Engineering, Wardha – 442102, India

Abstract: The object of this paper is to identify the enablers to implement green supply chain and to understand their mutual relationship. Green supply chain management (GSCM) enablers are identified using available GSCM literature and on consultations with experts from industry and academician. Interpretive structural model (ISM) was developed to identify the contextual relationship among these enablers. This paper has identified 14 key GSCMEs and developed an integrated model using ISM and the fuzzy MICMAC approach, which helps to identify and classify the important GSCMEs and reveal the direct and indirect effects of each GSCME on the GSCM implementation. ISM model provides only binary relationship among GSCMEs, while fuzzy MICMAC analysis provides precise analysis related to driving and dependence power of GSCME. To overcome this limitation, integrated approach is developed. This study has strong practical implications, for both practitioners as well as academicians. The practitioners need to concentrate on identified GSCMEs more cautiously during GSCM implementation in their organisations and the top management could formulate strategy for implementing these enablers obtained through ISM and fuzzy MICMAC analysis.

Keywords: green SCM; supply chain management; GSCM enablers; interpretive structural modelling; ISM; fuzzy MICMAC; fuzzy logic.

DOI: 10.1504/IJLSM.2016.077281

International Journal of Logistics Systems and Management, 2016 Vol.24 No.4, pp.426 - 451

Received: 27 Apr 2015
Accepted: 02 Jun 2015
Published online: 26 Jun 2016 *

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