无人机
背景(考古学)
车辆路径问题
计算机科学
约束(计算机辅助设计)
订单(交换)
布线(电子设计自动化)
运筹学
功能(生物学)
运输工程
业务
计算机网络
工程类
财务
地理
进化生物学
机械工程
生物
遗传学
考古
作者
Marlin W. Ulmer,Barrett W. Thomas
出处
期刊:Networks
[Wiley]
日期:2018-10-25
卷期号:72 (4): 475-505
被引量:132
摘要
In this paper, we analyze how drones can be combined with regular delivery vehicles to improve same‐day delivery performance. To this end, we present a dynamic vehicle routing problem with heterogeneous fleets. Customers order goods over the course of the day. These goods are delivered either by a drone or by a regular transportation vehicle within a delivery deadline. Drones are faster, but have a limited capacity as well as require charging after use. In the same‐day context, vehicle capacity is not a constraint, but vehicles are slow due to urban traffic. To decide whether an order is delivered by a drone or by a vehicle, we present a policy function approximation based on geographical districting. Our computational study reveals two major implications. First, geographical districting is highly effective increasing the expected number of same‐day deliveries. Second, a combination of drone and vehicle fleets may significantly reduce the required delivery resources.
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