摘要
从车辆装载(VFP)和车辆线路(VRP)联合优化多目标问题出发,对供应链中物流配送优化模型和多目标混合遗传算法进行了重点分析.综合应用基于RFID的货物远距离识别、自动存储和提取、计算机网络通讯技术以及智能控制等技术,开发了仓储物流中心管理系统.应用该系统可实现对货物的进出库及库存的管理与控制,从而提高物流的作业效率,节约物流配送成本.
Focusing on multi-objective combined optimization problem of the Vehicle Filling Problem （VFP） and Vehicle Routing Problem （VRP）, this paper mainly studies the establishment of the intelligent logistics distribution methods and solution of multi-objective genetic algorithm. Then, using the freight long-distance identify, auto-stor- age, fetch scheme based on RFID technology, as well as computer network and the intelligence control technique, it develops the warehousing management system to manage and control in-storage and out-storage of freight. It raises the efficiency of logistics performance and saves the logistics distribution cost.
出处
《交通运输系统工程与信息》
EI
CSCD
2008年第2期131-135,共5页
Journal of Transportation Systems Engineering and Information Technology
关键词
RFID
物流配送
智能优化
遗传算法
RFID
logistics distribution
intelligent optimize
genetic algorithm
