Mathematical modeling of Green closed loop supply chain network with consideration of supply risk: Case Study

Strong competition in today's markets has forced organizations to act as supply chain members. The supply chain member helps companies focus on specific domains and can quickly respond to changing customer needs and improve their flexibility and agility. The design of supply chain network is to provide structural design for new chains or reengineer existing networks in order to increase overall value. At this point, different decisions are made about the number of network levels, location, capacity and material flows across the network. Therefore, this paper presents a fuzzy multifunctional integer programming model that seeks to minimize costs, minimize environmental impacts, and minimize the risk of supplying raw materials. This model includes all levels of closed loop supply chain and is comprehensive with previous supply chain network design models. In order to implement the developed model, we use the data of Hamedan Glass Company. In the following, the proposed modeling mathematical model has been solved with a precise methodology, which shows the location and capacity of the facility, the amount of production in the production centers, the determination of technology.