A decision support system to investigate dynamic last-mile distribution facilitating cargo-bikes
A decision support system to investigate dynamic last-mile distribution facilitating cargo-bikes
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DOI：
10.1080/13675567.2017.1395830
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发表时间：
2018-01-01
影响因子：
6.6
通讯作者：
Gronalt, Manfred
中科院分区：
文献类型：
--
作者：
Fikar, Christian;Hirsch, Patrick;Gronalt, Manfred
这项工作提出了一个决策支持系统，以促进有效的城市最后一英里分配。订单由物流供应商拥有的传统车辆和自由职业者运营的货运自行车组成的车队收集和交付。此外，微型枢纽的运作，以执行多个车辆之间的转运。要调查相应的问题设置，基于代理的模拟开发，它使用动态优化程序来生成和选择车辆路线和转运点。实验动机的动态现实世界的城市餐厅交付服务调查的影响，货物自行车，城市整合和保证交货时间。潜力进行了讨论，并提供成功实施的影响。结果强调了拥有足够数量的活动货运自行车的重要性，以及整合策略以保证及时交付的好处。
This work presents a decision support system to facilitate efficient urban last-mile distribution. Orders are collected and delivered by a fleet of both conventional vehicles owned by a logistics provider and cargo-bikes operated by freelancers. Additionally, micro-hubs are operated to perform transshipments between multiple vehicles. To investigate the corresponding problem setting, an agent-based simulation is developed, which uses dynamic optimisation procedures to generate and select vehicle routes and transshipment points. Experiments motivated by dynamic real-world urban restaurant delivery services investigate the impact of cargo-bikes, urban consolidation and guaranteed delivery times. Potentials are discussed and implications for successful implementations are provided. Results highlight the importance of having a sufficient number of active cargo-bikes available and benefits of incorporating consolidation strategies to guarantee timely deliveries.