A Cyber-Physical Systems architecture for Industry 4.0-based manufacturing systems
By Jay H. Lee, B. Bagheri, Hung-An Kao. 2015
4,474 citations recorded by the source corpus.
Subfields: Control and Systems Engineering, Industrial and Manufacturing Engineering
View Paper: https://www.semanticscholar.org/paper/8abf04223c6162d07d3d02be48478aa7e5aa82bb
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Control and Systems Engineering
- Abdulmotaleb El Saddik
- Kazi Masudul Alam
- Christine E. Welch
- Peter M. Bednar
- Fei Tao
- Qinglin Qi
- Muneeb Ul Hassan
- Jinjun Chen
In Industrial and Manufacturing Engineering
- Fei Tao
- Qinglin Qi
- Andrew Yeh-Ching Nee
- Marco Perona
- Andrea Bacchetti
- Ting Zheng
- Marco Ardolino
- Hervé Panetto
Citations in the corpus
- Design and application of Internet of things-based warehouse management system for smart logistics (2018, background): “The advanced connectivity of data acquisition between the physical operations and visual system is of the essence (Lee et al., 2015).”
- C2PS: A Digital Twin Architecture Reference Model for the Cloud-Based Cyber-Physical Systems (2017, methodology): “[6] proposed a CPS architecture, 5C, to reach the goal of resilient, intelligent, and self-adaptable machines.”
- The applications of Industry 4.0 technologies in manufacturing context: a systematic literature review (2020, background): “The main aim is to monitor physical systems while creating a virtual copy (Alguliyev, Imamverdiyev, and Sukhostat 2018; Lee, Bagheri, and Kao 2015; Monostori et al. 2016) Internet of things Information network of physical objects (sensors, machines, cars, buildings, and other items) that enables…”
- Digital Twin: Values, Challenges and Enablers From a Modeling Perspective (2019, background): “A five-level cyber-physical system structure has been proposed specifically for PHM in manufacturing applications [43].”
- Socio-Technical Perspectives on Smart Working: Creating Meaningful and Sustainable Systems (2020, methodology): “This has been heralded as a new industrial revolution focusing around achievement of competitiveness in industry through integration of ‘cyberphysical’ systems into production (Lee et al. 2015; PWC 2016).”
- Comparison of Data Preprocessing Approaches for Applying Deep Learning to Human Activity Recognition in the Context of Industry 4.0 (2018, background): “…industry and Internet of Things (IoT) technology have paved the way for a systematical deployment of cyber-physical systems (CPS), making networked machines perform more efficiently, collaboratively, and resiliently, and transforming manufacturing industries to the Industry 4.0 era [1,2].”
- Differential Privacy Techniques for Cyber Physical Systems: A Survey (2018, background): “1) System Architectures: Generally, CPSs architectures consists of two major functional components [123]: (i) Advanced Connectivity, in which the real-time data transmission and reception is taking part between physical world and cyber space; and (ii) Intelligent Data Management, in which computatio”