电气化道路上的库存控制
Controlling inventory on electric roads
AI总结:
本文研究电气化道路系统下混合动力重型货车的路径与配送决策问题,提出考虑电力、燃料、电池电量及可变载重的随机需求模型,并设计数学规划启发式方法验证其有效性。
摘要:
电气化道路系统(ERS)是指允许兼容车辆在行驶途中由电网供电的道路,从而减少停车为电池充电的需求。我们研究该技术如何影响在ERS网络上行驶的混合动力重型货车(HGV)的路径规划和配送决策,以支持网络中一组零售商所面临的单一产品需求。我们提出了电气化道路路径问题(Electric Roads Routing Problem),该问题考虑了ERS网络上的电力和燃料成本、受车辆在行程每一步电池电量影响的能耗、路径决策以及随车辆载重和配送决策而变化的车辆重量。特别地,我们研究了该问题的随机需求版本,构建了一个数学规划启发式方法并证明了其有效性。我们在一个现实规模的问题实例上应用了该模型,展示了车辆根据燃料成本与电力成本的关系可能采取的不同策略。
英文摘要:
Electric road systems (ERS) are roads that allow compatible vehicles to be powered by grid electricity while in transit, reducing the need for stopping to recharge electric batteries. We investigate how this technology can affect routing and delivery decisions for hybrid heavy good vehicles (HGVs) travelling on a ERS network to support the demand of a single product faced by a set of retailers in the network. We introduce the Electric Roads Routing Problem, which accounts for the costs of electricity and fuel on a ERS network, consumption that are affected by the battery level of the vehicle in each step of the journey, the routing decisions and the variable weight of the vehicle, which depends on vehicle load and delivery decisions. In particular, we study a stochastic demand version of the problem, formulating a mathematical programming heuristic and proving its effectiveness. We use our model on a realistic instance of the problem, showcasing the different strategies that a vehicle may follow depending on fuel costs in relation to the costs of electricity.
机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。