Smart manufacturing based on cyber-physical systems and beyond
Yao, Xifan and Zhou, Jiajun and Lin, Yingzi and Li, Yun and Yu, Hongnian and Liu, Ying (2017) Smart manufacturing based on cyber-physical systems and beyond. Journal of Intelligent Manufacturing. pp. 1-13. ISSN 0956-5515 (https://doi.org/10.1007/s10845-017-1384-5)
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Abstract
Cyber-physical systems (CPS) have gained an increasing attention recently for their immense potential towards the next generation smart systems that integrate cyber technology into the physical processes. However, CPS did not initiate either smart factories or smart manufacturing, and vice versa. Historically, the smart factory was initially studied with the introduction of the Internet of Things (IoT) in manufacturing, and later became a key part of Industry 4.0. Also emerging are other related models such as cloud manufacturing, social manufacturing and proactive manufacturing with the introduction of cloud computing (broadly, the Internet of Services, IoS), social networking (broadly, the Internet of People, IoP) and big data (broadly, the Internet of Content and Knowledge, IoCK), respectively. At present, there is a lack of a systemic and comprehensive study on the linkages and relations between these terms. Therefore, this study first presents a comprehensive survey and analysis of the CPS treated as a combination of the IoT and the IoS. Then, the paper addresses CPS-based smart manufacturing as an eight tuple of CPS,IoT, IoS and IoCK as elements. Further, the paper extends the eight-tuple CPS-based manufacturing to social-CPS (SCPS)-based manufacturing, termed wisdom manufacturing, which forms a nine tuple with the addition of one more element, the IoP and which is based on the SCPS instead of CPS. Both architectures and characteristics for smart and wisdom manufacturing are addressed. As such, these terms’ linkages are established and relations are clarified with a special discussion. This study thus contributes as a theoretical basis and as a comprehensive framework for emerging manufacturing integration.
ORCID iDs
Yao, Xifan, Zhou, Jiajun, Lin, Yingzi, Li, Yun ORCID: https://orcid.org/0000-0002-6575-1839, Yu, Hongnian and Liu, Ying;-
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Item type: Article ID code: 65175 Dates: DateEvent28 December 2017Published28 December 2017Published Online13 December 2017AcceptedNotes: This is a post-peer-review, pre-copyedit version of an article published in Journal of Intelligent Manufacturing. The final authenticated version is available online at: http://dx.doi.org/10.1007/s10845-017-1384-5. Subjects: Science > Mathematics > Electronic computers. Computer science Department: Faculty of Engineering Depositing user: Pure Administrator Date deposited: 16 Aug 2018 08:26 Last modified: 14 Nov 2024 22:05 Related URLs: URI: https://strathprints.strath.ac.uk/id/eprint/65175