A Fuzzy Logic Transportation Model for Optimizing Pharmaceutical Supply Chain in Iran

Iranian’s pharmaceutical sector is relevant to its economy. The pharmaceutical industry’s supply chain involves several companies, from suppliers in the chemical and packaging industry to retailers that sell the products. The pharmaceutical supply chain is characterized by being comprehensive, comprising industrial plants, warehouses, distributors, wholesalers (pharmacies, hospitals, purchasing centers of government entities), and geographically dispersed retailers. This study presents a transportation model for the pharmaceutical sector, aiming to optimize logistics operations. The model incorporates various parameters, decision variables, and constraints, reflecting the complex dynamics of pharmaceutical supply chains. Fuzzy logic is utilized to evaluate the effectiveness of the transportation model under uncertain conditions. The objective is to enhance efficiency, minimize costs, and improve overall performance in pharmaceutical logistics. The results demonstrate the feasibility and efficacy of the proposed approach in addressing the challenges inherent in pharmaceutical transportation management.

کلیدواژه ها:

Pharmaceutical supply chain ، optimization ، transportation model ، Fuzzy method ، Iran pharmaceutical industry