| 基于地下物流的城市物流服务供应系统仿真优化 |
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| 引用本文： | 倪洪亮,侯龙龙,胡万杰,陈志龙.基于地下物流的城市物流服务供应系统仿真优化[J].科学技术与工程,2023,23(25):10856-10865. |
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| 作者姓名： | 倪洪亮 侯龙龙 胡万杰 陈志龙 |
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| 作者单位： | 北京工业大学;陆军工程大学国防工程学院 |
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| 摘 要： | 为解决城市物流面临集运体系缺失、运输通道不畅、供应效率低下等问题，通过仿真技术研究将地下物流系统（underground logistics system，ULS）纳入城市物流服务供应体系来解决城市货运问题的方法路径。提出ULS运营商与配送、仓储和流通加工服务供应商多方合作下的城市物流服务供应模式，刻画园区、服务站和需求点智能体的交互机理，基于若干服务场景建立ULS在专列A和专列B两种模式下的离散事件仿真模型。实验中用户满意度、碳排放量以及各参与方成本等指标量化的结果表明：该建模仿真方法能够有效实现系统资源配置、服务供应成本和质量控制的协同优化。
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| 关 键 词： | 城市物流 地下物流系统 供应系统 资源配置 离散事件仿真 |
| 收稿时间： | 2022/7/26 0:00:00 |
| 修稿时间： | 2023/6/27 0:00:00 |
Simulation and Optimization of ULS-based Urban Logistics Service Supply System |
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| Ni Hongliang,Hou Longlong,Hu Wangjie,Chen Zhilong.Simulation and Optimization of ULS-based Urban Logistics Service Supply System[J].Science Technology and Engineering,2023,23(25):10856-10865. |
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| Authors: | Ni Hongliang Hou Longlong Hu Wangjie Chen Zhilong |
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| Affiliation: | Beijing University of Technology |
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| Abstract: | With the rapid growth of the express industry, urban logistics is facing the problems of lack of collection system, poor transportation channel and low supply efficiency. Integrating underground logistics system (ULS) into the urban logistics service supply system is an important way to solve the urban freight problem. The urban lo-gistics service supply model under the multi-party cooperation of ULS operator distribution, warehousing and circulation processing service providers is proposed. The interaction mechanism between the park, ULS service station and demand point agents are carved out, and a discrete event simulation model of ULS in two modes of dedicated trains A/B is established based on several service scenarios. Based on the quantitative results of sat-isfaction, carbon emission, and cost of each participant in the experiment, the analysis is carried out to realize the synergistic optimization of system resource allocation, service supply cost, and quality control. |
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| Keywords: | city logistics underground logistics systems supply system resource allocation discrete event simulation |
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