Cyber physical systems for predictive production systems

被引：66

作者：

Lee J. ^{[1
]}

Jin C. ^{[1
]}

Bagheri B. ^{[1
]}

机构：

[1] NSF Industry/University Cooperative Research Center for Intelligent Maintenance Systems, University of Cincinnati, 567 Baldwin Hall, Cincinnati, 45221, OH

来源：

Production Engineering | 2017年 / 11卷 / 02期

关键词：

Cyber physical production systems; Cyber physical systems; Industrial big data; Predictive analytics; Prognostics and health management;

D O I：

10.1007/s11740-017-0729-4

中图分类号：

学科分类号：

摘要：

As disruptive technologies like Industry 4.0 and Internet of Things advance at a breakneck speed, modern manufacturing is ready to embrace the systematic deployment of predictive production systems. The predictive production system is an intelligent manufacturing system where networked assets are equipped with self-awareness to predict, root cause, and reconfigure faulty events automatically. Cyber physical systems are one of the core enabling technologies within which information from all the related perspectives are analyzed and interconnected between physical factory floor and the cyber computational space. It intertwines with smart analytics to comprehend invisible issues for rapid decision making. In this paper, a systematic approach is proposed on how cyber physical systems can be applied to predictive production systems to inject resilience and interoperability so that the productivity of manufacturing can be optimized. © 2017, German Academic Society for Production Engineering (WGP).

引用

页码：155 / 165

页数：10

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