Sustainable closed-loop supply chain network optimization for construction machinery recovering

With regard to environmental pressures and economic benefits, some original construction equipment manufacturers, have focused on collecting recovering machinery at the end of their life. The present study aimed focus Sustainable closed-loop supply chain network optimization for recovering. To this purpose, different recovery options such as remanufacturing, recycling reusing were implemented. A mixed integer linear programming model (MILP) including three objective functions was proposed in regard. Based model, all dimensions sustainability economic, environmental, social considered could successfully determine optimal values flow used products, remanufactured recycled parts, re-usable parts. In order demonstrate applicability a numerical example with help GAMS software obtain structure lowest cost reduce pollution caused by CO2. Finally, maximize fixed variable job opportunities.