首页    期刊浏览 2025年02月22日 星期六
登录注册

文章基本信息

  • 标题:Big Data Analytic Techniques and Its Use in Supply Chain
  • 本地全文:下载
  • 作者:Neha Chumbalkar ; Pushkar Chaudhari ; Vijay Gaikwad
  • 期刊名称:International Journal of Innovative Research in Science, Engineering and Technology
  • 印刷版ISSN:2347-6710
  • 电子版ISSN:2319-8753
  • 出版年度:2018
  • 卷号:7
  • 期号:4
  • 页码:3251
  • DOI:10.15680/IJIRSET.2018.0704003
  • 出版社:S&S Publications
  • 摘要:Though there is rising potential of big data, a few studies have been conducted to examine it in thesupply chain field. This article gives an overview of big data, its analytic techniques and its use in supply chain field.The results show that the big data analytic techniques can be categorized into three types: descriptive, predictive, andprescriptive and these in turn influence supply chain processes and creates value. We would be highlighting the analytictechniques.
  • 关键词:Big data; supply chain; descriptive; predictive; and prescriptive.
国家哲学社会科学文献中心版权所有