Author(s): Neelkanth Dhone
Various traditional Supply Chain Management (SCM) policies, decision software, and tools are edited and developed in industrial circuits. It is observed that the Green SCM strategy is recently highly viral across the industrial circuits to well simulate the industrial supply-production cycle productive cum effectively. In GSCM, Green Logistics (GLs) is a momentous research topic. The GLs blockages are found to spark current to preserve the best Green SCM performance across Indian automobile companies. It is monitored that Indian automobile companies, whose compliance GSCM strategies are yet searching the GLs blockage Decision support system (DSS), consisting of GLs blockage model coupled with an empirical optimization engine to identify the significant GLs blockages for escalating the future GLs performance. The authors organized the systemic literature on Logistics (GLs) and its MCDM method's implications on the GLS model to fulfill the research gaps. The author recognized the ten blockages for framing a GLS model. In perspective to simulate the GLs model, and proposed a fuzzy-degree of similarity optimization engine with a new concept of positive ideal solution (considered as the novelty of work). The simulation of DSS is based on the feedback of vague information from the expert panel or industrial professionals vs. 10 significant blockages in terms of the fuzzy set corresponding to linguistic variables. The research aims to facilitate all Indian automobile companies with DSS and help them identify and scrutinize the weak and robust blockages (in the model).