基于MCMF模型的城市地下物流网络优化研究
Research on Optimization of Urban Underground Logistics Network Based on MCMF Model
李滢 1赵建伟 1陈律1
作者信息
- 1. 无锡职业技术学院,江苏 无锡 214121
- 折叠
摘要
地下物流系统(ULS)通过地下管道或隧道运输货物有助于低成本高效率地解决新型城市交通拥堵和环境污染.基于MCMF模型,从两个阶段对网络线路优化研究,第一阶段根据实际货运量和图论知识,确定一、二级节点之间的物流路线规划;第二阶段以地下节点及通道间的货物清仓和地下物流网络路线低成本为目标,建立最小费用最大流模型来优化线路,得到实现货物运输的最小费用.以南京市仙林区为例,验证了该模型对求解优化地下物流系统网络具有可行性,结果表明通过两阶段网络路线的优化,既能保证配送效率的最大化,又能使运输成本最低.
Abstract
Underground logistics systems(ULS)transport goods through underground pipelines or tunnels,which can help solve new urban traffic congestion and environmental pollution with low cost and high efficiency.This article is based on the MCMF model and studies network route optimization from two stages.In the first stage,based on actual freight volume and graph theory knowledge,logistics route planning between primary nodes is determined.The second stage aims to achieve low-cost clearance of goods between underground nodes and channels,as well as low-cost underground logistics network routes.A minimum cost maximum flow model is established to optimize the route and obtain the minimum cost for achieving goods transportation.And taking Xianlin District,Nanjing City as an example,the feasibility of this model in solving and optimizing the underground logistics system network was verified.The results showed that through two-stage network route optimization,it can not only ensure the maximization of distribution efficiency but also minimize transportation costs.
关键词
城市地下物流/网络优化/智慧物流/最小费用最大流(MCMF)Key words
urban underground logistics/network optimization/intelligence logistics/minimum cost maximum flow(MCMF)引用本文复制引用
出版年
2024
NETL
NSTL
万方数据