摘要
城市物流网络由节点和链接构成,对于流通的商品物流节点是交通枢纽、中间节点和零售设施.为使零售商品在城市内流通的总运输费用最小,利用选址模型和遗传算法优化城市物流网络中中间节点的空间分布和规模.首先分析了城市中商品运输系统,建立了运输费用和中间节点的建设费用模型;针对零售设施对物流中间节点的选择行为,根据费用和选择模型开发了优化物流中间节点的分布和规模模型;最后,利用大连市的数据进行了实例研究,验证了模型的有效性.
Urban logistics network consists of nodes and links. In terms of retailing goods, the nodes include transportation terminals, intermediate nodes and retailing facilities. Distribution and scales of intermediate nodes are optimized with location model and genetic algorithm to minimize the total transportation costs of goods in the whole city. Firstly, the goods transportation system in a city is analyzed, and models of transportation cost and construction cost for intermediate nodes are constructed. Secondly, the behavior of the retailing facility selecting the used nodes is analyzed and modeled, and based on cost and behavior models, the optimizing model is established. Finally, the data of Dalian city is used for the case study and the validity of the model is verified.
出处
《大连理工大学学报》
EI
CAS
CSCD
北大核心
2007年第3期414-418,共5页
Journal of Dalian University of Technology
关键词
城市物流
物流网络
遗传算法
选址模型
urban logistics
logistics network
genetic algorithm
location model
