4.7 Review

From data to big data in production research: the past and future trends

期刊

INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
卷 57, 期 15-16, 页码 4828-4853

出版社

TAYLOR & FRANCIS LTD
DOI: 10.1080/00207543.2018.1443230

关键词

production; data; data mining; data-driven models; big data; smart manufacturing; data envelopment analysis; simulation

资金

  1. Research Grants Council of the Hong Kong Special Administrative Region, China [14202115]

向作者/读者索取更多资源

Data have been utilised in production research in meaningful ways for decades. Recent years have offered data in larger volumes and improved quality collected from diverse sources. The state-of-the-art data research in production and the emerging methodologies are discussed. The review of the literature suggests that production research enabled by data has shifted from that based on analytical models to data-driven. Manufacturing and data envelopment analysis have been the most popular application areas of data-driven methodologies. The research published to date indicates that data mining is becoming a dominant methodology in production research. Future trends and opportunities for data-driven production research are presented.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据