Solving the Electric Vehicle Routing Problem in Short Food Supply Chains: A Constrained Clustering Approach
摘要
The development of Short Food Supply Chains (SFSCs) using a fleet of electric vehicles is one way of reducing the carbon footprint. In this study, we looked at optimizing electric vehicle routes in order to minimize energy consumption under constraints of vehicle capacity (trucks), client demand and battery capacity. The Simulation of Urban MObility tool is used to simulate road traffic and estimate the energy consumed by vehicles. In our study, we proposed a solution based on a constrained clustering approach.