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首页> 外文期刊>International Journal of Production Research >Role of Big Data Analytics in supply chain management: current trends and future perspectives
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Role of Big Data Analytics in supply chain management: current trends and future perspectives

机译：大数据分析在供应链管理中的作用：当前趋势和未来的观点

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摘要

It is a widely accepted fact that almost every research or business revolves around Data. Data from various business sectors has been growing sharply and the management of this massive amount of data is the biggest professional crunch these days. The notion of Big Data Analytics (BDA) is a prominent facet that delivers the best possible solution to decision-makers for efficiently handling the problems related to huge data. The key role of BDA in the area of Supply Chain Management (SCM), Logistics Management (LM), and Inventory Management (IM) is of utmost significance as it optimises the business operations by analyzing customer behaviour. Motivated with the promising paybacks of the BDA, a recent review from the year 2015-2019 is presented in this paper. Further, the significance of BDA in SCM, LM, and IM has been highlighted by studying 58 papers, which have been sorted after a detailed study of 260 papers, collected through the Web of Science (WoS) database. The findings and observations give state-of-the-art insights to scientists and business professionals by presenting an exhaustive list of the progress made and challenges left untackled in the field of BDA in SCM, LM, and IM.
机译：它是一个广泛接受的事实，即几乎每个研究或企业都在围绕数据围绕。来自各个业务部门的数据急剧增长，并管理这一大量数据的管理是这几天最大的专业紧缩。大数据分析（BDA）的概念是一个突出的方面，为决策者提供最佳解决方案，以便有效处理与巨额数据相关的问题。 BDA在供应链管理（SCM），物流管理（LM）和库存管理（IM）中的关键作用是最重要的，因为它通过分析客户行为优化业务运营。凭借BDA的承诺回报，最近从2015-2019年的回顾是本文的最近审查。此外，BDA在SCM，LM和IM中的重要性通过研究58篇论文已经突出，这在通过科学网站（WOS）数据库中收集的260篇论文进行了详细研究。调查结果和观察通过展示SCM，LM和IM的BDA领域未通信的进展和挑战的详尽清单，为科学家和商业专业人员提供了最先进的洞察。

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