|本期目录/Table of Contents|

[1]刘晓佳,何利军,施金斌,等.利用地铁进行城市物流配送的路径选择模型[J].集美大学学报(自然科学版),2024,29(4):336-343.
　LIU Xiaojia,HE Lijun,SHI Jinbin,et al.Route Selection Model of Urban Logistics Distribution Using Subway[J].Journal of Jimei University,2024,29(4):336-343.
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利用地铁进行城市物流配送的路径选择模型(PDF)
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《集美大学学报（自然科学版）》[ISSN:1007-7405/CN:35-1186/N]

卷:
第29卷
期数:
2024年第4期
页码:
336-343
栏目:
航海技术与物流工程
出版日期:
2024-07-28

文章信息/Info

Title:
Route Selection Model of Urban Logistics Distribution Using Subway
作者:
刘晓佳1; 2; 何利军1; 2; 施金斌1; 2; 邢蒙1
1.集美大学航海学院，福建 厦门 361021；2.集美大学海上交通安全研究所，福建 厦门 361021
Author(s):
LIU Xiaojia1; 2; HE Lijun1; 2; SHI Jinbin1; 2; XING Meng1
(1.Navigation College，Jimei University，Xiamen 361021，China；2.Institute of Maritime Traffic Safety，Jimei University，Xiamen 361021，China)
关键词:
物流配送模式; 路径选择; 地铁; 改进遗传算法
Keywords:
logistics distribution mode; path choice; subway; improved genetic algorithm
分类号:
-
DOI:
-
文献标志码:
A
摘要:
设计了一种基于地铁的城市物流配送网络,以配送时间及配送费用为目标，以货车及地铁的载重限制、货物运输流向及相关变量限制为约束，构建双目标配送路径选择模型，通过改进遗传算法对模型进行求解，得出货物调度时间及费用成本。以厦门市的数值为例进行分析，结果表明，当决策者选择偏好为（0.1，0.9）时，配送总运输时间为11.3 h，配送总运输费用为20 206.65元。当物流中心与终端站点距离较近时，采用地铁运输会增加配送节点，导致运输成本增加。表明地铁参与运输对中长距离的货物配送更有利。
Abstract:
In this study,an urban logistics distribution network is designed based on the subway.With the distribution time and cost as the target,and the truck and subway load restrictions,freight transport directions and related variable restrictions as the constraints,a dual-objective distribution path selection model is constructed.The model is solved by improving the genetic algorithm to obtain the goods scheduling time and cost.The numerical analysis taking Xiamen City as an example shows that when the decision-maker’s preference is (0.1,0.9),the total delivery time is 11.3 h and the total delivery cost is 20,206.65 yuan.When the logistics center is close to the terminal station,the use of subway transportation will increase the distribution nodes,resulting in increased transport costs.It shows that the involvement of metro is more favorable for medium and long distance goods distribution.

参考文献/References:

相似文献/References:

[1]刘晓佳,张可,张艳艳.改进的正态灰云模型在物流路径选择中的应用[J].集美大学学报(自然科学版),2018,23(3):200.
　LIU XiaojiaZHANG Ke,ZHANG Yanyan.The Application of Improved Normal Cloud Model Based on Grey System in the Selection of Logistics Paths[J].Journal of Jimei University,2018,23(4):200.

备注/Memo

备注/Memo:
更新日期/Last Update: 2024-09-23