A Fuzzy Logic Transportation Model for Optimizing Pharmaceutical Supply Chainin Iran

Iranian’s pharmaceutical sector is relevant to its economy.The pharmaceutical industry’s supply chain involvesseveral companies, from suppliers in the chemical andpackaging industry to retailers that sell the products. Thepharmaceutical supply chain is characterized by beingcomprehensive, comprising industrial plants, warehouses,distributors, wholesalers (pharmacies, hospitals,purchasing centers of government entities), andgeographically dispersed retailers. This study presents atransportation model for the pharmaceutical sector, aimingto optimize logistics operations. The model incorporatesvarious parameters, decision variables, and constraints,reflecting the complex dynamics of pharmaceutical supplychains. Fuzzy logic is utilized to evaluate the effectivenessof the transportation model under uncertain conditions. Theobjective is to enhance efficiency, minimize costs, andimprove overall performance in pharmaceutical logistics.The results demonstrate the feasibility and efficacy of theproposed approach in addressing the challenges inherent inpharmaceutical transportation management.

کلیدواژه ها:

Pharmaceutical supply chain ، optimization ، transportationmodel ، Fuzzy method ، Iran pharmaceutical industry