Current status and advancement of cyber-physical systems in manufacturing

By Lihui Wang, Martin Törngren, Mauro Onori. 2015

857 citations recorded by the source corpus.

Subfields: Industrial and Manufacturing Engineering

View Paper: https://www.semanticscholar.org/paper/d2bdf13550c497681358733a3694dbd280dd49e4

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In Industrial and Manufacturing Engineering

Citations in the corpus

Deep Reinforcement Learning for Cyber Security (2019, methodology): “With the rapid development of the Internet and control technologies, CPSs have been used extensively in many areas including manufacturing [67], health”
Organizational learning paths based upon industry 4.0 adoption: An empirical study with Brazilian manufacturers (2020, background): “0 allow to monitor and control equipment, products and services in a way that large quantities of data are collected, inputted into integrated systems and analyzed through virtual models, hence enhancing decision-making processes (Wang et al., 2015; Frank et al., 2019b).”
Artificial Intelligence (AI): Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy (2019, background): “Future organisations are likely to focus on creating value from an integrated human and AI collaborative work-force (Jonsson & Svensson, 2016; Makridakis, 2018; Wang, Törngren, & Onori, 2015a; Wang, Li, & Leung, 2015b; Wang & Wang, 2016).”
The industrial management of SMEs in the era of Industry 4.0 (2018, background): “…and operations (Azevedo and Almeida 2011; Matsuda, Sudo, and Kimura 2016, 2012; Mehrsai et al. 2014; Veza, Mladineo, and Gjeldum 2015) (3) Internet of things (IoT): new technologies can now provide communication capabilities to physical objects (Kopacek 2015; Wang, Törngren, and Onori 2015).”
Digital Twins and Cyber–Physical Systems toward Smart Manufacturing and Industry 4.0: Correlation and Comparison (2019, background): “The essence of CPS is to add new capabilities to physical systems using computation and communication, which intensively interact with the physical processes [32].”
Digital twin-driven product design framework (2019, background): “Some countries proposed their national strategies such as Industry 4.0, CPS-based manufacturing(Wang, Törngren, and Onori 2015), service-oriented manufacturing(Tao, Zhang, and Laili 2015), and Made in China 2025.”
Fourth Industrial Revolution: technological drivers, impacts and coping methods (2017, background): “Take the Cyber Physical Systems (CPSs) as an example, this system utilizes technical means to realize effective control on manufacturing in real time and with a broad scope, thereby making an organic combination of human resource, machinery, and raw materials (Wang et al., 2015).”
The Role of Big Data Analytics in Industrial Internet of Things (2019, background): “…of IIoTs and edge cloud computing systems [36], industrial marketplaces for IIoTs [4], big data and virtualisation technologies for IIoT systems [37], technological advancements relevant to CPS in IIoT systems [38], smart manufacturing [39] and big data applications for business operations [40–42].”
New IT Driven Service-Oriented Smart Manufacturing: Framework and Characteristics (2019, background): “[45] together with directions of future research and applications in the field.”
Digital Twin for rotating machinery fault diagnosis in smart manufacturing (2018, background): “Recent advancement in the Internet of Things (IoTs), Cyber Physical System (CPS) and Big Data continuously reshapes modern manufacturing (Wang et al. 2015b; Babiceanu and Seker 2016; Zhong et al. 2017).”