فهرست نشریات علمی دسترسی آزاد ایران

This research presents a novel framework for fuzzy multi-objective optimization in designing resilient and intelligent supply chains under uncertainty. In this framework, uncertain data are modeled using fuzzy logic and the relationships between economic, operational, and technological objectives are analyzed simultaneously. Simulated data based on the characteristics of the fast-moving consumer goods (FMCG) industry showed that the proposed model is able to create a reasonable balance between cost, resilience, and intelligence. The results showed that compared to deterministic models, the proposed fuzzy framework increased network resilience by about 18% and decision intelligence by 21%, while the total cost growth was less than 3%. Sensitivity analysis also confirmed the stability of the model against parameter changes, and the results of disturbance scenarios showed that the designed network has fast recovery capability and high operational stability.