摘要
通过构建物流信息调度模型提高物流供应链网络的连通性,提升物流信息识别和配送的效率,提出一种基于海量激光标签的物流信息流调度方法。首先采用海量激光标签识别技术进行物流信息流的采集和特征分析,构建物流信息流的非线性规划模型。然后根据物流信息流在闭环供应链网络中的状态分布特征量进行物流信息流的激光标签RFID识别和信息融合配置,在信息融合中心进行物流优化调度。最后进行物流配送和信息调度的仿真实验分析。结果表明,采用该方法进行物流信息流调度能准确提高配送能力,且物流收益和服务质量得到了提升。
Through the construction of the logistics information scheduling model,to improve the connectivity of the logistics supply chain network and improve the efficiency of logistics information identification and distribution. This paper proposes a scheduling method of logistics information flow based on mass laser tag. First,acquire and feature analyze the logistics information flow based on mass laser tag identification technology,to construct its nonlinear programming model. Then,RFID recognize the laser tag and configurate information fusion according to the state distribution volume of logistics information flow in the closed-loop supply chain network,to optimize logistics in information fusion center. Finally,the simulation analysis of logistics distribution and information scheduling is carried out. The results show that this method can improve the accuracy of logistics information flow scheduling,and improve the logistics income and service quality.
出处
《激光杂志》
北大核心
2017年第11期147-151,共5页
Laser Journal
基金
江西省教育厅科技研究资助项目(GJJ151255)
关键词
激光标签
物流
信息
调度
融合
标签识别
laser tag
logistics
information
scheduling
fusion
label recognition