Optimizing Supply Chain Efficiency with Fuzzy CRITIC-EDAS

In today's dynamic and complex global business landscape, effective supply chain network (SCN) management is critical for achieving competitive advantage and sustainability.This study presents an innovative methodology that leverages the fuzzy CRITIC (CRiteria Importance Through Intercriteria Correlation) and EDAS (Evaluation based on Distance from Average Solution) techniques to enhance the efficiency of SCNs.By integrating both quantitative and qualitative factors, the approach effectively navigates uncertainties and imprecise data in supply chain operations.The fuzzy CRITIC-EDAS method's application in a case study showcases its utility in optimizing SCN configurations for improved efficiency, cost savings, and risk reduction.The results offer a valuable decision support tool for supply chain management, promising to boost competitiveness and sustainability in an unpredictable market.