摘要
得益于社会的迅速发展,物质资源的极大丰富,人们对餐饮的要求越来越高。优质的餐饮服务离不开物流体系的支撑,车辆路径作为物流体系的重要组成部分,它的选择直接决定着配送车辆的物流时效。文章以某餐饮企业为例,在建立模型的过程中充分考虑到企业的实际情况,高度还原企业车辆在配送中遇到的现实问题,以时间最优和成本最优为目标,建立车辆路径优化模型,并且设计遗传算法进行求解。
Thanks to the rapid development of society and the great wealth of material resources,people's requirements for catering are getting higher and higher.High-quality catering services cannot be separated from the support of the logistics system.The vehicle path is an important part of the logistics system,and its choice directly determines the logistics timeliness of the delivery vehicles.This article takes a catering company as an example,fully considers the actual situation of the enterprise in the process of establishing the model,and highly restores the actual problems encountered by the vehicle in the distribution of the company.The goal is to optimize the time and cost to establish the vehicle route optimization model,and design genetic algorithm to solve.
作者
张潭
蒲忠
魏卓
ZHANG Tan;PU Zhong;WEI Zhuo(School of Economics and Management,Southwest Petroleum University,Chengdu 610500,China;Big Data Management Institute,Southwest Petroleum University,Chengdu 610500,China;CNPC Jilin Oilfield Material Supply Department,Songyuan 138000,China)
出处
《物流科技》
2020年第3期54-57,共4页
Logistics Sci-Tech
关键词
车辆路径优化
时间窗
同时取送货
遗传算法
vehicle routing optimization
time window
simultaneous delivery
genetic algorithm