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作 者:Manu Suvarna Ken Shaun Yap Wentao Yang Jun Li Yen Ting Ng Xiaonan Wang
机构地区:[1]Department of Chemical and Biomolecular Engineering,National University of Singapore,Singapore 117585,Singapore [2]Singapore Institute of Manufacturing Technology,Singapore 138634,Singapore [3]School of Economics and Management,Tsinghua University,Beijing 100084,China [4]Zhigui Internet Technology,Beijing 100080,China [5]China Industrial Control Systems Cyber Emergency Response Team,Beijing 100040,China [6]Department of Chemical Engineering,Tsinghua University,Beijing 100084,China
出 处:《Engineering》2021年第9期1212-1223,共12页工程(英文)
摘 要: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.
关 键 词:Smart manufacturing Cyber-physical production systems Industrial Internet of Things Data analytics Decentralized system Blockchain
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