大数据在供应链管理中的应用研究综述  

Review of the Application of Big Data in Supply Chain Management

作　　者：王红春[1] 刘帅[1] WANG Hongchun LIU Shuai(School of Economics and Management Engineering, Beijing University of Civil Engineering and Architecture, Beijing 100044, China)

机构地区：[1]北京建筑大学经济与管理工程学院,北京100044

出　　处：《物流科技》2017年第8期104-107,共4页Logistics Sci-Tech

基　　金：国家自然科学基金项目;项目编号:61472027

摘　　要：为全面把握未来基于大数据的供应链管理研究方向和热点,以便为企业构建大数据供应链时提供参考,对近年来国内外有关大数据分析在供应链管理中的应用研究进行了综述。通过对文献的整理发现,基于大数据的供应链管理研究主要集中在依靠大数据理论促进供应链信息共享与需求预测的研究,另外在供应链模式变革、大数据分析方法方面的研究也比较集中,还包括依靠大数据理论提升供应链柔性等方面。最后,指出了在目前基于大数据的供应链管理研究的不足之处,并在综述的基础上提出了未来的研究方向。In order to grasp the research direction and hot spot of supply chain management based on big data in the future, so as to provide reference for enterprises to build big data supply chain. The application of big data analysis in supply chain man- agement at home and abroad is reviewed in this paper. Through the collation of the literature found that the research of supply chain management based on big data is mainly focused on promoting the information sharing and demand forecasting of supply chain based on big data theory. In addition, the research on the change of supply chain model is more concentrated. Also in- cludes the promotion of the supply chain flexibility, the methods of big data analysis and other aspects relying on big data theo- ry. At last, it points out the deficiency of the research on supply chain management based on big data at present, and puts for- ward the future research direction.

关 键 词：大数据 供应链管理 研究综述 

分 类 号：F274[经济管理—企业管理]