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Production Engineering
Erschienen in: Production Engineering 2/2017

16.03.2017 | Production Management

Cyber physical systems for predictive production systems

verfasst von: Jay Lee, Chao Jin, Behrad Bagheri

Erschienen in: Production Engineering | Ausgabe 2/2017

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Abstract

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.
Vorheriger Artikel Cognition-enhanced assembly sequence planning for ergonomic and productive human–robot collaboration in self-optimizing assembly cells
Nächster Artikel Model Predictive Control Approach for assembling Large Components in Motion

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Metadaten
Titel
Cyber physical systems for predictive production systems
verfasst von
Jay Lee
Chao Jin
Behrad Bagheri
Publikationsdatum
16.03.2017
Verlag
Springer Berlin Heidelberg
Erschienen in
Production Engineering / Ausgabe 2/2017
Print ISSN: 0944-6524
Elektronische ISSN: 1863-7353
DOI
https://doi.org/10.1007/s11740-017-0729-4

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