Necessity of products recovery networks in economic jihad: A case study in automobile parts industrial

In recent decades,global economy pressures anddevelopments force companies to make newcompetitiveness advantages to come up them. Not only companies are encouraged by environment regulation to be cautions to reuse used product but also they have understood that could be economic and beneficial if they can reuse product in end of life cycle. (EOL) Reverse logistics network make an infrastructure to collect and recover, assess, remanufacture and recycle usedproducts to achieve the objective. Therefore, developing aneffective reverse logisticsnetworkare more interesting by scholars and industrial researcher that to design supply chains to be more competitive specially when enormous economic change is happening, it can be seen reverse and closed-loop logistics has been increasingly interesting by huge number of global and local companies to utilize economic profit. The main issue in designing reverse logistics is which and where facility should be considered in networks and how they have to relatetogether.In this research, a new mixed integer linear programming model developed to maximize profit by minimizingreverse logistic cost and maximizing product recovery valuein automobile parts supply chain - automobile alternator. Then, Gravitational Search Algorithm asa new meta-heuristics algorithm is applied to optimize developed model. Finally, profitability and more competencies due to recycling have been discussed.