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基于大数据环境下的供应链管理研究综述 被引量:6

Review of Supply Chain Management Based on Big Data Environment
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摘要 我国近几年来大数据产业的兴起使得基于大数据的互联网产业与各个领域开始快速的融合,在供应链领域显得尤为突出。大数据的蓬勃发展使得供应链的结构发生了全新的变化,这无疑为供应链的发展指明了新的道路。文中基于此,首先就对基于大数据的供应链与传统的供应链模式经行对比分析;随后,对我国大数据背景下的供应链发展与研究进展经行梳理;最后就基于大数据背景下的供应链管理所可能面临的机遇以及挑战进行了总结与展望。 The rise of the big data industry in our country in recent years has caused the Internet industry based on big data to quickly merge with various fields,which is particularly prominent in the supply chain field.The vigorous development of big data has brought about a brand-new change in the structure of the supply chain,which undoubtedly points out a new path for the development of the supply chain.Based on this,this article first compares and analyzes the supply chain based on big data and the traditional supply chain model.Subsequently,the development and research progress of the supply chain in the context under our country s big data background were sorted out.Finally,it summarizes and looks forward to the opportunities and challenges that supply chain management may face under the background of big data.
作者 曹佳 CAO Jia(School of Management,Guizhou University,Guiyang 550000,China)
出处 《物流工程与管理》 2021年第1期104-106,共3页 Logistics Engineering and Management
关键词 大数据 供应链 对比分析 展望 big data supply chain comparative analysis outlook
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  • 1HALL R. Towards a fusion of formal and informal learning envi- ronments: the impact of the read/write web [ J ]. Electronic Journal of e-Learning, 2009, 7 ( 1 ) : 29-40.
  • 2REZAPOUR S, FARAHANI R Z. Strategic design of competing centralized supply chain networks for markets with deterministic demands [J]. Advances in Engineering Software, 2010, 41 (5) : 810-822.
  • 3WEBER R H. Intemet of things-new security and privacy chal- lenges [J]. Computer Law & Security Review, 2010, 26 ( 1 ) : 23-30.
  • 4LIN Jun, NG Tsan Sheng. Robust multi-market newsvendor models with interval demand data [ J ]. European Journal of Operational Research, 2011, 212 (2): 361-373.
  • 5BERNARD R. Robustness in operational research and decision aiding: a multi-faeeted issue [J]. European Journal of Opera- tional Research, 2010, 200 (3): 629-638.
  • 6LAU H C W, HO G T S, ZHAO Y, CHUNG N S H. Development of a process mining system for supporting knowledge discovery in a supply chain network [ J ]. Interna- tional Journal of Production Economics, 2009, 122 (1): 176-187.
  • 7TSUI E, WANG W M, CHEUNG C F, et al. A concept-rela- tionship acquisition and inference approach for hierarchical tax- onomy construction from tags [ J ]. Information Processing & Management, 2010, 46 (1): 44-57.
  • 8PISHVAEE M S, RABBANI M, TORABI S A. A robust opti- mization approach to closed-loop supply chain network design under uncertainty [ J ]. Applied Mathematical Modelling, 2011, 35 (2): 637-649.
  • 9Nada R Sanders.Big Data Driven Supply Chain Management: A Framework for Implementing Analytics and Turning Information Into Intelligence [M]. London:Pearson FF Press, 2014.
  • 10Viktor Mayer-Schonberger,Kenneth Cukler.Big Data: A Revolution That Will Transform How We Live, Work and Think[M].London:Kodder Export, 2013.

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