摘要
针对农村电商物流面临的“最初一公里”揽件和“最后一公里”配送难题,提出货车联合无人机的同时取送货和带软时间窗的农村电商物流运输模式。以末端物流运作总成本最小为目标建立数学约束模型,采用遗传算法求解,并以贵州省某农村地区末端物流运输为例进行初步应用研究,结果表明货车联合无人机的农村电商物流运输方式与单独使用货车的运输方式相比,末端物流运作总成本明显降低,为物流企业进一步拓展农村市场提供了解决方案。
Aiming at the difficulties in the first-mile pick-up and last-mile delivery faced by rural e-commerce logistics providers,the paper proposes a rural e-commerce logistics transport mode with soft time window which utilizes trucks and UAVs for simultaneous pick-up and delivery.Firstly,the paper establishes a mathematical constraint model with the objective of minimizing total endpoint logistics operation cost,solves it using the genetic algorithm,and applies it in the case of the endpoint logistics transport in a certain rural area of Guizhou,the result of which shows that compared with the solely truck-based transport mode,the model proposed in this paper can reduce significantly the total endpoint logistics operation cost,providing a solution for logistics enterprises to further expand in the rural market.
作者
褚衍昌
王雪婷
张娜
Chu Yanchang;Wang Xueting;Zhang Na(School of Economics&Management,Civil Aviation University of China,Tianjin 300300;School of Economics&Management,Shihezi University,Shihezi 832000,China)
出处
《物流技术》
2020年第9期82-88,133,共8页
Logistics Technology
基金
教育部人文社科青年基金项目“基于语言Q阶模糊集的多准则决策方法及应用研究”(19YJC630023)
国家自然科学基金面上项目“基于中智集的模糊多属性决策理论、方法与应用研究”(71471172)。
关键词
无人机
农村电商
物流运输路径规划
末端物流
UVA(unmanned aerial vehicle)
rural e-commerce
logistics transport path planning
endpoint logistics
