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Evaluation and Selection of Sustainable Strategy for Green Supply Chain Management Implementation
Author(s) -
Malviya Rakesh Kumar,
Kant Ravi,
Gupta Ashim Dutta
Publication year - 2018
Publication title -
business strategy and the environment
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.123
H-Index - 105
eISSN - 1099-0836
pISSN - 0964-4733
DOI - 10.1002/bse.2016
Subject(s) - vagueness , robustness (evolution) , computer science , fuzzy logic , supply chain management , process management , supply chain , strategic management , operations research , business , management science , economics , marketing , artificial intelligence , engineering , biochemistry , chemistry , gene
The aim of this study is to explore the implementation of green supply chain management (GSCM) strategies and to select the best GSCM strategy using fuzzy analytical network process (ANP) methodology. The ANP helps in analyzing the interdependence and interrelations among the various determinants and dimensions of GSCM strategy selection. Fuzzy set theory is applied to avoid the vagueness and uncertainty in human preference judgement. This study uses an empirical case study of an Indian automobile organization to validate the applicability of the proposed model. The results show that the resource based strategy is in first position, having the maximum impact on each determinant. The case organization should improve the green management system with the assistance of a suitable GSCM strategy, i.e. the resource based strategy. This study may help managers to make decisions, and to analyze and standardize their environmental advantages dynamically. The robustness of the projected model is checked by conducting a sensitivity analysis. Copyright © 2018 John Wiley & Sons, Ltd and ERP Environment