首页> 外文会议>IFIP WG 5.5 working conference on virtual enterprises >Big Valuable Data in Supply Chain: Deep Analysis of Current Trends and Coming Potential
【24h】

Big Valuable Data in Supply Chain: Deep Analysis of Current Trends and Coming Potential

机译:供应链中的重要数据:对当前趋势和未来潜力的深入分析

获取原文

摘要

Today, Big Data Analytics (BDA) are definitely the key basis of competitiveness for enterprises in their Supply Chains. The outburst of data captured, accumulated and analyzed is impacting the value-added-chain at all levels from manufacturers to customers. In this paper, we develop a structured methodology to provide a deep analysis of Big Data Analytics methods across the Supply-Chain Operations Reference (SCOR) model processes. An exhaustive literature review is illustrated to afford a comprehensive Mind-Map cartography with a BDA-SCOR matching matrix. The proposed approach points to a number of research concerns that need to be addressed by research community. Outcomes of this study may highlight relevant guidelines for upcoming works of both academics and industrials. It highlights the need for collaborative Big Data to manage SCM more intelligendy. Our objective is to provide an effective analysis to understand how Big Data Analytics become even more valuable for better Supply Chain Management.
机译:如今,大数据分析(BDA)绝对是企业在其供应链中的竞争力的关键基础。捕获,累积和分析的数据的爆发正在影响从制造商到客户的各个层次的增值链。在本文中,我们开发了一种结构化的方法,以在整个供应链运营参考(SCOR)模型过程中提供对大数据分析方法的深入分析。说明了详尽的文献综述,以提供具有BDA-SCOR匹配矩阵的综合思维导图。提议的方法指出了研究界需要解决的许多研究问题。这项研究的结果可能会突出有关学术界和工业界即将发表的著作的相关指导原则。它强调了需要协作大数据来更智能地管理SCM。我们的目标是提供有效的分析,以了解大数据分析如何变得对更好的供应链管理更有价值。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号