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作 者:吴先赋 李永树 WU Xianfu;LI Yongshu(Faculty of Geosciences and Environmental Engineering,Southwest Jiaotong University,Chengdu 611756,China)
机构地区:[1]西南交通大学地球科学与环境工程学院,四川成都611756
出 处:《测绘与空间地理信息》2020年第4期124-126,130,共4页Geomatics & Spatial Information Technology
摘 要:从为连锁商店、超市等传统零售商超企业提供物流决策支持的背景出发,基于Node.js框架、WebGIS技术,依托MongoDB数据库和Leaflet地图库将商家信息、仓库信息、车辆信息整合在一起,进行了物流配送路径规划系统开发实践。利用GIS空间分析能力来完善物流配送的相关需求,分别构建了面向商家、供货商和货运司机的订单平台、控制中心、配送平台;在功能上涵盖商品浏览、货单提交、车辆调度、仓库选取、服务区域查看、最近设施点查询、配送路径规划、路径导航等,提供了一套具有实际参考意义的区域物流配送路径规划解决方案。Based on the background of providing logistics decision support for traditional retailers such as chain stores and convenience stores,this paper makes use of Node.js framework,WebGIS technology,MongoDB and Leaflet to integrate the business information,warehouse information and vehicle information to carry out the development of logistics distribution path planning system.Using GIS spatial analysis capabilities to improve the relevant requirements of logistics and distribution,the order platform,control center,and distribution platform were built for merchants,suppliers and freight drivers respectively.The functions include product browsing,order submission,vehicle scheduling,warehouse selection,service area viewing,nearest facility query,distribution route planning,route navigation,etc.,thus providing a set of regional logistics distribution path planning solutions with practical reference significance.
关 键 词:物流配送 Node.js WEBGIS 连锁物流
分 类 号:P208.2[天文地球—地图制图学与地理信息工程]
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