Provide a mathematical model to integrate location and routing decisions and control supply chain inventory with electric vehicles

The problem of location Inventory navigation is one of the most important issues in the distribution network, which in this study is investigated with electric vehicles. The inherent complexity of this issue has led to less attention in past research. Much research has been done to reduce logistics and supply chain costs. Rising distribution costs and the consequences of increasing vehicle pollution have led to greater use of green vehicle routing models. One of the most effective and efficient solutions in this field is the use of electric vehicles. These vehicles have very little pollution and play a significant role in reducing air pollution. On the other hand, to better manage logistics issues. And supply chain, simultaneous scheduling of routing, inventory, and location decisions. The main limitations in the use of electric vehicles are the low volume of battery power, the long recharging time and the limitednumber of refueling stations. Therefore, the limitations of the charging stations of these vehicles should be considered in their routing. In this research, considering the above, a linear and efficient mathematical model for planning the location-routing-existence decisions of electric vehicles has beenpresented. Considering these goals at the same time can reduce overall costs. GAMS software has been used to solve the proposed mathematical model and check the accuracy of the model. Finally, future conclusions and research are provided.

Keywords:

IRP , Electric vehicles , Locating charging stations.