Toward New-Generation Intelligent Manufacturing
By Ji Zhou, Peigen Li, Yanhong Zhou, Baicun Wang, JiYuan Zang, Liu Meng. 2018
525 citations recorded by the source corpus.
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.
Subfields: Industrial and Manufacturing Engineering
View Paper: https://www.semanticscholar.org/paper/f897ad8f3f965b2f527d4895e4d8788161366d3d
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In Industrial and Manufacturing Engineering
Citations in the corpus
- Human–Cyber–Physical Systems (HCPSs) in the Context of New-Generation Intelligent Manufacturing (2019, methodology): “The common enabling technologies of the last three industrial revolutions were the steam engine, electric motor technology, and digital technology, respectively; in the Fourth Industrial Revolution, the common enabling technology is AI technology [1].”
- Tackling Faults in the Industry 4.0 Era—A Survey of Machine-Learning Solutions and Key Aspects (2019, background): “Contrary to the principle of the computer-integrated manufacturing (CIM), Industry 4.0 does not envision workerless production facilities, but rather pursues the synergetic integration of humans and machines in a shared working space, in the sense of a human-cyber-physical system (HCPS) [91], where ”
- The Effects of Digital Transformation on Firm Performance: Evidence from China’s Manufacturing Sector (2021, background): “For example, enabled by artificial intelligence technologies, hardware, such as machines and equipment, is able to conduct independent learning and adjustment, ensuring optimal behaviors [48].”
- Knowledge-driven digital twin manufacturing cell towards intelligent manufacturing (2019, background): “According to Zhou et al. (2018), the evolution of manufacturing systems could be divided into three stages in terms of the degree of intelligence, namely traditional manufacturing, smart manufacturing and intelligent manufacturing (as shown in Figure 1).”
- Digital Twins and Cyber–Physical Systems toward Smart Manufacturing and Industry 4.0: Correlation and Comparison (2019, background): “…evolves into AI 2.0, however, smart technologies such as the Internet of Things (IoT), cloud computing (CC), big data analytics (BDA), cyber–physical systems (CPS), and digital twins (DTs) are taking a central position in new-generation intelligent manufacturing—that is, smart manufacturing [4,5].”