A fuzzy stochastic immediate assembly supply chain with uncertain demand

This study aimed at examining a three-echelon supply chain including manufacturers, warehouses and customers with uncertain demand. Following the proposed models, the goal was to minimize all supply chain costs and shortages. Stochastic fuzzy scenario-based programming in the form of chance constrained was utilized to control and deal with the assumed uncertainty which was considered to manifest itself through customer demand. To achieve more flexibility in the supply chain network and due to uncertain demand, immediate assembly in warehouses was applied. Furthermore, important supply chain decisions such as warehouse use, production quantities and distribution were examined. Subsequently and through solving a numerical example including one manufacturer, three warehouses and seven customers, the performance of the uncertain model was investigated.