Cyber–Physical Production Systems for Data-Driven, Decentralized, and Secure Manufacturing—A Perspective

With 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,...

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Autores principales: Manu Suvarna, Ken Shaun Yap, Wentao Yang, Jun Li, Yen Ting Ng, Xiaonan Wang
Formato: article
Lenguaje:EN
Publicado: Elsevier 2021
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Acceso en línea:https://doaj.org/article/db7bef89b835498ca63d22f150584fba
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spelling oai:doaj.org-article:db7bef89b835498ca63d22f150584fba2021-11-14T04:32:15ZCyber–Physical Production Systems for Data-Driven, Decentralized, and Secure Manufacturing—A Perspective2095-809910.1016/j.eng.2021.04.021https://doaj.org/article/db7bef89b835498ca63d22f150584fba2021-09-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S2095809921002988https://doaj.org/toc/2095-8099With 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.Manu SuvarnaKen Shaun YapWentao YangJun LiYen Ting NgXiaonan WangElsevierarticleSmart manufacturingCyber–physical production systemsIndustrial Internet of ThingsData analyticsDecentralized systemBlockchainEngineering (General). Civil engineering (General)TA1-2040ENEngineering, Vol 7, Iss 9, Pp 1212-1223 (2021)
institution DOAJ
collection DOAJ
language EN
topic Smart manufacturing
Cyber–physical production systems
Industrial Internet of Things
Data analytics
Decentralized system
Blockchain
Engineering (General). Civil engineering (General)
TA1-2040
spellingShingle Smart manufacturing
Cyber–physical production systems
Industrial Internet of Things
Data analytics
Decentralized system
Blockchain
Engineering (General). Civil engineering (General)
TA1-2040
Manu Suvarna
Ken Shaun Yap
Wentao Yang
Jun Li
Yen Ting Ng
Xiaonan Wang
Cyber–Physical Production Systems for Data-Driven, Decentralized, and Secure Manufacturing—A Perspective
description With 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.
format article
author Manu Suvarna
Ken Shaun Yap
Wentao Yang
Jun Li
Yen Ting Ng
Xiaonan Wang
author_facet Manu Suvarna
Ken Shaun Yap
Wentao Yang
Jun Li
Yen Ting Ng
Xiaonan Wang
author_sort Manu Suvarna
title Cyber–Physical Production Systems for Data-Driven, Decentralized, and Secure Manufacturing—A Perspective
title_short Cyber–Physical Production Systems for Data-Driven, Decentralized, and Secure Manufacturing—A Perspective
title_full Cyber–Physical Production Systems for Data-Driven, Decentralized, and Secure Manufacturing—A Perspective
title_fullStr Cyber–Physical Production Systems for Data-Driven, Decentralized, and Secure Manufacturing—A Perspective
title_full_unstemmed Cyber–Physical Production Systems for Data-Driven, Decentralized, and Secure Manufacturing—A Perspective
title_sort cyber–physical production systems for data-driven, decentralized, and secure manufacturing—a perspective
publisher Elsevier
publishDate 2021
url https://doaj.org/article/db7bef89b835498ca63d22f150584fba
work_keys_str_mv AT manusuvarna cyberphysicalproductionsystemsfordatadrivendecentralizedandsecuremanufacturingaperspective
AT kenshaunyap cyberphysicalproductionsystemsfordatadrivendecentralizedandsecuremanufacturingaperspective
AT wentaoyang cyberphysicalproductionsystemsfordatadrivendecentralizedandsecuremanufacturingaperspective
AT junli cyberphysicalproductionsystemsfordatadrivendecentralizedandsecuremanufacturingaperspective
AT yentingng cyberphysicalproductionsystemsfordatadrivendecentralizedandsecuremanufacturingaperspective
AT xiaonanwang cyberphysicalproductionsystemsfordatadrivendecentralizedandsecuremanufacturingaperspective
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