<p>Selecting reliable and sustainable suppliers is critical for the manufacturing industry, as it promotes resource efficiency, minimizes environmental pollution, upholds ethical labor standards, and fosters community development. Furthermore, it delivers economic advantages such as cost savings, risk reduction, and enhanced brand reputation. By prioritizing sustainability, companies can fulfill stakeholder expectations and maintain a competitive advantage in a rapidly evolving market. This study proposes an integrated fuzzy group decision-making framework to effectively tackle the complex challenge of sustainable supplier selection. The model incorporates input from three decision-makers and evaluates five supplier alternatives across ten criteria. To derive the criteria weights, the fuzzy LOPCOW method is applied, providing a robust means of handling the inherent uncertainty and ambiguity in expert assessments. To examine the interdependencies among the criteria, the fuzzy DEMATEL method is applied. Subsequently, the fuzzy TOPSIS method and the proposed fuzzy EDISA method are used to rank the suppliers based on their crisp values. The results reveal that the third alternative consistently emerges as the most suitable supplier. Furthermore, extensive sensitivity, comparative, and statistical analyses are performed to examine the robustness, consistency, and reliability of the proposed model, thereby confirming its effectiveness under different conditions. A feedback mechanism is incorporated, allowing decision-makers to iteratively adjust criteria and preferences based on the results, ensuring consistency with changing business objectives. Overall, the proposed model offers valuable insights and practical implications, demonstrating strong adaptability for similar decision-making scenarios across various sectors, particularly in dynamic and uncertain environments.</p>