Predicting the success possibility for Green Supply chain management implementation

Abstract

The objective of this paper is to predict the success possibility for implementation of Green Supply chain management enablers (GSCMEs). The combined fuzzy decision-making trail and evaluation laboratory (DEMATEL) and fuzzy multi-criteria decision making (MCDM) methodology is used to prioritize GSCMEs for supporting the green supply chain management (GSCM) implementation. The case study of automobile ancillary is selected which is supplying component to the reputed automobile company. It has been observed that GSCME6 (top management commitment and support) has high influencing factor. If the enablers with higher influencing factor are properly concentrate during implementation, definitely the GSCM implementation will be a success. The organizations can apply the proposed method before initiating GSCM adoption to avoid wastage, time as well as money.