Solving of location-allocation-routing model of reverse supply chain for end-of-life vehicles considering sustainability dimensions under uncertainty conditions

In present study, the reverse logistics model of collecting EOL vehicles has been presented with taking into account the economic, social and environmental sustainability. In this regard, a mathematical model has been presented for understudy problem, which includes for planning of multi-period and multi-stage reverse logistics network of EOL vehicles. In this model, the considerations of location, allocation, transportation (routing) have been considered and also some of the parameters of model are fuzzy and the model is multi-objective including minimizing costs, minimizing environmental impacts and maximizing the social responsibilities. The rest of study has been organized as follow.