Data-driven intelligent system for equipment management in Automotive Parts Manufacturing

被引：0
|
作者：
Zhang, Jun [1 ,2 ]
Du, Jian [1 ]
Shi, Xiaohua [3 ]
机构：
[1] Zhejiang Univ, Sch Management, Hangzhou, Peoples R China
[2] Yanfeng Automot Trims Tooling & Equipment Technol, Shanghai, Peoples R China
[3] Shanghai Jiao Tong Univ, Dept Comp Sci & Engineer, Shanghai, Peoples R China
来源：
2019 58TH ANNUAL CONFERENCE OF THE SOCIETY OF INSTRUMENT AND CONTROL ENGINEERS OF JAPAN (SICE) | 2019年
关键词：
Intelligent System; Automotive Parts Manufacturing; Big Data Analysis; System Design; INTEROPERABILITY;
D O I：
10.23919/sice.2019.8859857
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
The volume of operation data collected in manufacturing is growing, and big data offers a tremendous opportunity in transformation of todays manufacturing modes to intelligent manufacturing styles. Big data empowers companies to adopt data-driven strategies to become more competitive. In this article, we discuss the role of big data and their adaptive ways of methods in supporting smart manufacturing, and overview the manufacturing lifecycle of equipments and machines. We also propose an intelligent data interactive softeware framework in the automotive production area.
引用
收藏
页码：1349 / 1354
页数：6
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