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“一带一路”物流中心大数据体系的建设

发布时间:2018-02-24 23:34

  本文关键词: “一带一路” 物流中心 大数据 灵活对接 责任追溯 出处:《中国流通经济》2017年08期  论文类型:期刊论文


【摘要】:"一带一路"沿线各地展现出物流业态纷繁而复杂的形势,新丝路"物流通"战略以产业中高端转化为宗旨,急需适用性良好的物流集散中心。面对物流业务的信息暴增、业态种类繁多、信息价值稀疏和需求碎片化等特征,应明确大数据体系建设的指导思想,归纳"一个核心、三类需求、三个平台和两大门户"的主要建设内容,设计"五个层次,三条总线"的建设框架,实现新丝路沿线物流业态的精准化责任追溯和碎片化价值聚集,助力产业中高端转化,提升产业灵活适用性,以达到维护物流数据主权、提升物流资源利用率和激励产业创新的目标。物流中心大数据体系架构可靠性和适用性良好,对物流通战略的促进作用明显,体现出大数据价值汇集的发展优势。
[Abstract]:Various places along "Belt and Road" show the complicated and complicated situation of logistics business. The new silk road "logistics communication" strategy aims at transforming the middle and high end of the industry, so it is in urgent need of a suitable logistics distribution center. In the face of the information explosion of logistics business, Since there are many types of business forms, information value is sparse and demand is fragmented, the guiding ideology of big data's system construction should be clearly defined, and the main construction contents of "one core, three kinds of needs, three platforms and two major portals" should be summed up. Design the construction frame of "five levels, three buses", realize the precision responsibility traceability and fragmentation value gathering of logistics along the new silk road, help the industry to transform at the high end, enhance the flexibility and applicability of the industry, In order to maintain the sovereignty of logistics data, improve the utilization rate of logistics resources and stimulate industrial innovation, big data logistics center has good reliability and applicability of its system structure, and has a significant role in promoting logistics communication strategy. It reflects the development advantage of big data's value collection.
【作者单位】: 新疆财经大学计算机科学与工程学院;新疆教育学院教育云重点实验室;
【基金】:教育部人文社会科学研究规划项目“新疆多元文化下主动引导策略研究”(14YJA860017)、“新疆新丝路核心区下物流中心的迁移模型研究”(16XJJAZH003)
【分类号】:F259.2

【参考文献】

相关期刊论文 前10条

1 乔艳芬;卢鑫;;在线产品创新社区价值共创研究[J];现代管理科学;2017年05期

2 王欣悦;;我国智慧物流发展问题及对策研究[J];铁道运输与经济;2017年04期

3 童楠楠;朝乐门;;大数据时代下数据管理理念的变革:从结果派到过程派[J];情报理论与实践;2017年02期

4 刘晓宁;;“互联网+社区”终端物流模式发展现状与展望[J];商业经济研究;2017年02期

5 于施洋;杨道玲;王t熻,

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