arrow
返回

Data-driven smart manufacturing

delete2018-07-01
delete960
PRE
AI
陶
陶飞 (Fei Tao) *
Q
Qinglin Qi
刘昂 封面图
刘昂 (Ang Liu)
A
Andrew Kusiak
DOI:10.1016/j.jmsy.2018.01.006delete
delete原文链接
delete原文求助
delete分享
delete收藏
摘要

摘要

En 中文
The advances in the internet technology, internet of things, cloud computing, big data, and artificial intelligence have profoundly impacted manufacturing. The volume of data collected in manufacturing is growing. Big data offers a tremendous opportunity in the transformation of today's manufacturing paradigm to smart manufacturing. Big data empowers companies to adopt data-driven strategies to become more competitive. In this paper, the role of big data in supporting smart manufacturing is discussed. A historical perspective to data lifecycle in manufacturing is overviewed. The big data perspective is supported by a conceptual framework proposed in the paper. Typical application scenarios of the proposed framework are outlined. (C) 2018 The Society of Manufacturing Engineers. Published by Elsevier Ltd. All rights reserved.
Keyword:
Big data
Smart manufacturing
Manufacturing data
Data lifecycle
AI总结

AI总结

对已上传原文的论文进行重点信息的提取,主要内容包括:简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。

期刊

Journal of Manufacturing Systems 封面图
Journal of Manufacturing Systems
IF:
14.2
论文数:
2.7K
被引数:
1.6W

机构

U
University of Iowa
学者数:
2.8W
论文数: 2.3W
被引数: 600
B
Beihang University
学者数:
5.2W
论文数: 4.1W
被引数: 37
引用论文

引用论文

err分享
err收藏
BlobSeer: Next-generation data management for large scale infrastructures
err2011-02-01
err68
errOAAI
errNicolae, Bogdan; Antoniu, Gabriel; Bouge, Luc; Moise, Diana; Carpen-Amarie, Alexandra
err分享
err收藏
err分享
err收藏
学者 查看更多内容