In large-scale enterprises, supplier selection is a critical process due to the involvement of numerous uncontrollable and unavoidable factors. To address this challenge, this research proposes a resilient supply chain framework that enhances flexibility and mitigates disruptions. The study identifies five main criteria for supplier selection, tailored to vulnerable areas and production requirements, and employs fuzzy multi-objective linear programming (FMOLP) and fuzzy analytic hierarchy process (FAHP) to handle the vagueness of information and prioritize criteria. Supplier selection involves both qualitative (e.g., reliability, reputation) and quantitative (e.g., cost, delivery time) attributes, making it a multi-faceted decision-making problem. Information related to supplier performance and criteria importance is often imprecise or ambiguous, requiring robust methods to handle uncertainty. A resilient supply chain is essential to overcome disruptions, ensuring continuity and flexibility in material procurement. The criteria are selected based on vulnerable areas and production requirements to enhance flexibility. While the specific criteria are not detailed here, they likely include factors such as cost, quality, delivery reliability, sustainability, and innovation.