Parseh Designers Transportation Research Institute Quarterly Journal of Transportation Engineering 2008-6598 13 1 2021 09 23 New mathematical modelling for an electric vehicle inventory-routing problem New mathematical modelling for an electric vehicle inventory-routing problem 1071 1090 63216 10.22119/jte.2021.63216 FA Kosar Sadeghi-Velni School of Industrial Engineering, Kish International Campus, University of Tehran, Kish, Iran Reza Tavakkoli-Moghaddam Professor, School of Industrial Engineering, College of Engineering, University of Tehran 0000-0002-6757-926X Fariborz Jolai Head of School of Industrial Engineering, College of Engineering, University of Tehran Journal Article 2017 10 24 Transportation industry activities have a significant negative impact on the environment, economy and human health. To reduce the environmental impact strategies, such as using electric vehicles, is taken into account. This paper presents a new mathematical model related to the electric vehicle inventory-routing problem. The objective function of the proposed model is to minimize the total cost of this system. Vehicles are considered as electrical device and due to the limited capacity of the batteries, the driving range is limited. Hence, if the battery is over, there is a possibility of swapping the battery at the battery swapping stations. In the proposed model, the shortage is not allowed and the customer demand is certain and determined. Because the proposed problem is categorized as NP-hard one, a meta-heuristic algorithm, namely variable neighborhood search (VNS), is proposed to solve large-scale problems. To evaluate the performance of the proposed VNS, numerical results are compared with the exact method and the simulated annealing (SA) method. The computational results show the proper performance of the proposed VNS. Transportation industry activities have a significant negative impact on the environment, economy and human health. To reduce the environmental impact strategies, such as using electric vehicles, is taken into account. This paper presents a new mathematical model related to the electric vehicle inventory-routing problem. The objective function of the proposed model is to minimize the total cost of this system. Vehicles are considered as electrical device and due to the limited capacity of the batteries, the driving range is limited. Hence, if the battery is over, there is a possibility of swapping the battery at the battery swapping stations. In the proposed model, the shortage is not allowed and the customer demand is certain and determined. Because the proposed problem is categorized as NP-hard one, a meta-heuristic algorithm, namely variable neighborhood search (VNS), is proposed to solve large-scale problems. To evaluate the performance of the proposed VNS, numerical results are compared with the exact method and the simulated annealing (SA) method. The computational results show the proper performance of the proposed VNS. https://jte.sinaweb.net/article_63216_3ef069998836806ae24ac7d12e416d97.pdf