<![CDATA[Supplier selection represents one of the most significant decision-making problems in supply chain management, as supplier performance directly affects product quality, operational efficiency, delivery reliability, customer satisfaction, and overall organizational competitiveness. Modern supply chains are increasingly characterized by uncertainty, frequent disruptions, global competition, and growing requirements related to environmental and social responsibility. Under such conditions, the supplier selection process requires the simultaneous consideration of multiple, often conflicting criteria, including cost, quality, delivery reliability, flexibility, sustainability, technical capability, communication, reputation, and risk. Consequently, supplier selection can be regarded as a complex multi-criteria decision-making problem that requires a structured and transparent evaluation framework. This paper proposes a hybrid methodology based on the integration of the Fuzzy Best-Worst Method (BWM) and the Fuzzy Combined Compromise Solution (CoCoSo) method for selecting the most suitable supplier. The Fuzzy BWM is applied to determine the relative importance of the evaluation criteria while accounting for uncertainty and subjectivity in expert judgments. The Fuzzy CoCoSo method is subsequently used to assess, compare, and rank the available suppliers based on their overall performance. The proposed decision-making framework considers ten evaluation criteria and four supplier alternatives. The results indicate that delivery reliability and accuracy is the most important criterion in the supplier selection process, highlighting the critical role of timely and dependable deliveries in maintaining supply chain continuity. The findings also demonstrate that the proposed hybrid model enables a systematic, consistent, and reliable evaluation of suppliers under uncertain conditions. It can therefore serve as an effective decision-support tool for managers and practitioners and can be adapted for supplier selection problems across different industrial sectors]]>
