Please use this identifier to cite or link to this item: https://doi.org/10.1016/j.eng.2021.04.021
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dc.titleCyber–Physical Production Systems for Data-Driven, Decentralized, and Secure Manufacturing—A Perspective
dc.contributor.authorSuvarna, Manu
dc.contributor.authorYap, Ken Shaun
dc.contributor.authorYang, Wentao
dc.contributor.authorLi, Jun
dc.contributor.authorNg, Yen Ting
dc.contributor.authorWang, Xiaonan
dc.date.accessioned2022-10-11T07:53:41Z
dc.date.available2022-10-11T07:53:41Z
dc.date.issued2021-07-01
dc.identifier.citationSuvarna, Manu, Yap, Ken Shaun, Yang, Wentao, Li, Jun, Ng, Yen Ting, Wang, Xiaonan (2021-07-01). Cyber–Physical Production Systems for Data-Driven, Decentralized, and Secure Manufacturing—A Perspective. Engineering 7 (9) : 1212-1223. ScholarBank@NUS Repository. https://doi.org/10.1016/j.eng.2021.04.021
dc.identifier.issn2095-8099
dc.identifier.urihttps://scholarbank.nus.edu.sg/handle/10635/232021
dc.description.abstractWith the concepts of Industry 4.0 and smart manufacturing gaining popularity, there is a growing notion that conventional manufacturing will witness a transition toward a new paradigm, targeting innovation, automation, better response to customer needs, and intelligent systems. Within this context, this review focuses on the concept of cyber–physical production system (CPPS) and presents a holistic perspective on the role of the CPPS in three key and essential drivers of this transformation: data-driven manufacturing, decentralized manufacturing, and integrated blockchains for data security. The paper aims to connect these three aspects of smart manufacturing and proposes that through the application of data-driven modeling, CPPS will aid in transforming manufacturing to become more intuitive and automated. In turn, automated manufacturing will pave the way for the decentralization of manufacturing. Layering blockchain technologies on top of CPPS will ensure the reliability and security of data sharing and integration across decentralized systems. Each of these claims is supported by relevant case studies recently published in the literature and from the industry; a brief on existing challenges and the way forward is also provided. © 2021 THE AUTHORS
dc.publisherElsevier Ltd
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.sourceScopus OA2021
dc.subjectBlockchain
dc.subjectCyber–physical production systems
dc.subjectData analytics
dc.subjectDecentralized system
dc.subjectIndustrial Internet of Things
dc.subjectSmart manufacturing
dc.typeArticle
dc.contributor.departmentCHEMICAL & BIOMOLECULAR ENGINEERING
dc.contributor.departmentMATHEMATICS
dc.description.doi10.1016/j.eng.2021.04.021
dc.description.sourcetitleEngineering
dc.description.volume7
dc.description.issue9
dc.description.page1212-1223
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