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作 者:贺琳 HE Lin(College of Information Engineering,Fuyang Normal University,Fuyang Anhui 236041,China)
机构地区:[1]阜阳师范学院信息工程学院
出 处:《淮阴工学院学报》2020年第1期18-21,31,共5页Journal of Huaiyin Institute of Technology
基 金:阜阳师范学院信息工程学院基金项目(2019MTYS05、2019FXGSK03)
摘 要:为了提高区域物流调度能力,提出基于区域物流系统空间演化特征分析的物流关联调度方法,结合铁路运输、水路运输、公路运输等方式进行区域物流系统空间规划模型设计,建立区域物流空间关联调度的综合体系结构模型,采用供应链关联规则项挖掘的方法进行区域物流系统空间演化特征分析,提取区域物流系统空间演化特征量,对提取的特征信息采用大数据信息融合方法,进行区域物流系统空间规划调度的动态规划设计,实现区域物流系统空间演化特征关联调度。仿真结果表明,采用该方法进行区域物流系统空间演化特征关联调度的自适应性较好,空间规划能力较强,提高了物流调度的效率。In order to improve the ability of regional logistics scheduling,a logistics association scheduling method based on spatial evolution feature analysis of regional logistics system is proposed.The spatial planning model of regional logistics system is designed by combining railway transportation,waterway transportation,highway transportation,and so on.The comprehensive architecture model of regional logistics spatial association scheduling is established,and the spatial evolution characteristics of regional logistics system are analyzed by the method of mining the association rules of supply chain.The spatial evolution feature quantity of regional logistics system is extracted,and big data information fusion method is used to realize the dynamic planning and scheduling of regional logistics system spatial planning and scheduling,and the spatial evolution feature association scheduling of regional logistics system is realized.The simulation results show that the method has good adaptability and strong spatial planning ability,which improves the efficiency of logistics scheduling.
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