Supplier management of raw materials presents significant challenges that can disrupt operational performance. Key issues include discrepancies between ordered and delivered quantities, resulting in payment delays; substandard material quality such as excessively thin lacoste fabric leading to product rejection; and delivery delays exceeding three days. In addition, inadequate environmental responsibility among suppliers, particularly in industrial waste management, contradicts the company’s strategic commitment to sustainable and environmentally friendly production. This study aims to evaluate and select green suppliers by integrating fuzzy Analytical Hierarchy Process (Fuzzy AHP) and fuzzy Combinative Distance-Based Assessment (Fuzzy CODAS) methods. The evaluation framework incorporates multiple criteria, including quality, cost, delivery performance, technological capability, financial performance, cooperation ability, and environmental competency. The findings demonstrate that the proposed fuzzy-based multi-criteria decision-making approach provides a more robust, objective, and systematic evaluation of suppliers. The model effectively supports the selection of suppliers that align with sustainability objectives and promotes improved environmental responsibility within the supply chain.
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