Application of Big Data in Supply Chain Management

被引：3
|
作者：
Singh, Ankit [1 ]
Jain, Deepak [1 ]
Mehta, Ishant [1 ]
Mitra, Jishnu [1 ]
Agrawal, Saurabh [1 ]
机构：
[1] Delhi Technol Univ, Mech & Automot Engn Dept, Delhi 110042, India
来源：
MATERIALS TODAY-PROCEEDINGS | 2017年 / 4卷 / 02期
关键词：
Supply Chain Management; Delphi Technique; Big Data; Issues; Case Study;
D O I：
暂无
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
Big data is a term used to describe the massive volume of both structured and unstructured data that is too large that it is difficult to process using conventional database and software techniques. Even though Big Data is in its early stages, it has remarkably transformed nearly each and every sector in the industry. It has also revamped the Supply Chain Management giving it a new dimension by increasing efficiency of production and optimization of operations. This paper identifies the issues regarding Supply Chain Management by employing Delphi technique and aims to resolve them by incorporating Big Data Analytics. Finally, an example of big data analytics application is also presented as a way of unveiling some of the relatively unexplored territories in big data analytics research. (C) 2017 Elsevier Ltd. All rights reserved.
引用
收藏
页码：1106 / 1115
页数：10
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