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Intelligent Manufacturing—Perspective |
Toward New-Generation Intelligent Manufacturing
Zhou Ji, Li Peigen, Zhou Yanhong, Wang Baicun, Zang Jiyuan, Meng Liu
Abstract   Intelligent manufacturing is a general concept under continuous development. It can be categorized into three basic paradigms: digital manufacturing, digital-networked manufacturing, and new-generation intelligent manufacturing. New-generation intelligent manufacturing represents an in-depth integration of new-generation artificial intelligence (AI) technology and advanced manufacturing technology. It runs throughout every link in the full life-cycle of design, production, product and service. The concept also relates with the optimization and integration of corresponding systems, continuous improvement of enterprises’ product quality, performance and service, and reduction in resources consumption. New-generation intelligent manufacturing acts as the core driving force of a new round of industrial revolution and the main pathway of transformation and upgrading for the manufacturing industry in decades to come. “Human-cyber-physical systems (HCPS)” reveals the technological mechanisms of new-generation intelligent manufacturing and can effectively guide related theoretical research and engineering practice. Given the sequential development, cross interaction and iterative upgrading characteristics of the three basic paradigms of intelligent manufacturing, a technology roadmap of “parallel promotion and integrated development” should be developed to drive the intelligent transformation of the manufacturing industry even further. 
Keywords  advanced manufacturing      new-generation intelligent manufacturing      human-cyber-physical system      new-generation AI      basic paradigms      parallel promotion      integrated development     
Just Accepted Date: 08 February 2018  
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Zhou Ji
Li Peigen
Zhou Yanhong
Wang Baicun
Zang Jiyuan
Meng Liu
Cite this article:   
Zhou Ji,Li Peigen,Zhou Yanhong, et al. Toward New-Generation Intelligent Manufacturing[J]. Engineering, 08 February 2018. [Epub ahead of print] doi: 10.1016/j.eng.2018.01.002.
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