In recent decades, recovery activities have a significant impact to the success of firms in market competition. IT is make the companies’ interest to design and implement reverse logistics (RL). Beside, the dynamic and complexity of supply and recovery process in RL networks imposes a high degree of uncertainty. In this research, a new fuzzy multi-objective optimization model for a RL network design under uncertain demands and return flows is formulated. In order to study tradeoffs between business and environmental consideration, the assumed objectives are total cost minimization and maximization total returned products collection. This paper also considers multi-product RL network to handle more realistic situations of system. The designed model is a generic model and applicable in different industries such as automobile, television, computer, cellular phone manufacturing industries, etc.
