GREEN SUPPLY CHAIN OPTIMIZATION WITH FUZZY MCDM FOR ECONOMIC GROWTH

Abstract

An in-depth investigation into Green Supply Chain Management (GSCM) practices is presented, delineating their economic impact. The research applies fuzzy logic within a Multi-Criteria DecisionMaking (MCDM) framework to systematize the evaluation and advancement of green practices in supply chains. The integration of fuzzy logic with MCDM is posited to refine the precision of evaluations. The approach centres on the assessment of green suppliers using a linear programmingbased fuzzy Multi-Attributive Border Approximation area Comparison (MABAC) method. The study advances the discourse on GSCM by quantifying the economic merits, namely cost efficiency, market productivity enhancement, and brand image improvement. Evidence from practical applications substantiates the dual benefits of GSCM in bolstering environmental sustainability and generating significant economic gains.