Document Type: Research Paper
Department of Industrial Management, Kermanshah Branch, Islamic Azad University, Kermanshah, Iran.
(1) Department of management, Kermanshah Branch, Islamic Azad University, Kermanshah, Iran. (2) Department of management, Sanandaj Branch, Islamic Azad University, Sanandaj, Iran.
Department of industrial engineering, Kermanshah Branch, Islamic Azad University, Kermanshah, Iran.
In the current world, the debate on the reinstatement and reuse of consumer prod-ucts has become particularly important. Since the supply chain of the closed loop is not only a forward flow but also a reverse one; therefore, companies creating integ-rity between direct and reverse supply chain are successful. The purpose of this study is to develop a new mathematical model for closed loop supply chain net-work. In the real world the demand and the maximum capacity offered by the sup-plier are uncertain which in this model; the fuzzy theory discussion was used to cover the uncertainty of the mentioned variables. The objective functions of the model include minimizing costs, increasing revenues of recycling products, increas-ing cost saving from recycling and environmental impacts. According to the NP-hard, an efficient algorithm was suggested based on the genetic Meta heuristic algo-rithm to solve it. Twelve numerical problems were defined and solved using the NSGA-II algorithm to validate the model