Toward New-Generation Intelligent Manufacturing

Zhou Ji; Li Peigen; Zhou Yanhong; Wang Baicun; Zang Jiyuan; Meng Liu

doi:10.1016/j.eng.2018.01.002

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Engineering ›› 2018, Vol. 4 ›› Issue (1) : 11-20. DOI: 10.1016/j.eng.2018.01.002

Research

Toward New-Generation Intelligent Manufacturing

Zhou Ji^a ,
Li Peigen^b ,
Zhou Yanhong^b^,^* ,
Wang Baicun^c^,^* ,
Zang Jiyuan^c ,
Meng Liu^c

Author information +

History +

Abstract

Intelligent manufacturing is a general concept that is 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 through every link in the full life-cycle of design, production, product, and service. The concept also relates to the optimization and integration of corresponding systems; the continuous improvement of enterprises’ product quality, performance, and service levels; and reduction in resources consumption. New-generation intelligent manufacturing acts as the core driving force of the new industrial revolution and will continue to be the main pathway for the transformation and upgrading of the manufacturing industry in the decades to come. Human-cyber-physical systems (HCPSs) reveal 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 for “parallel promotion and integrated development” should be developed in order to drive forward the intelligent transformation of the manufacturing industry in China.

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Keywords

Advanced manufacturing / New-generation intelligent manufacturing / Human-cyber-physical system / New-generation AI / Basic paradigms / Parallel promotion / Integrated development

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Zhou Ji, Li Peigen, Zhou Yanhong, Wang Baicun, Zang Jiyuan, Meng Liu. Toward New-Generation Intelligent Manufacturing. Engineering, 2018, 4(1): 11‒20 https://doi.org/10.1016/j.eng.2018.01.002

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