1. The Second Academy of China Aerospace Science and Technology Corporation, Beijing 100039, China 2. Beijing Aerospace Intelligent Manufacturing Technology Development Co., Ltd., Beijing 100039, China
Based on research into the applications of artificial intelligence (AI) technology in the manufacturing industry in recent years, we analyze the rapid development of core technologies in the new era of ‘Internet plus AI’, which is triggering a great change in the models, means, and ecosystems of the manufacturing industry, as well as in the development of AI. We then propose new models, means, and forms of intelligent manufacturing, intelligent manufacturing system architecture, and intelligent man-ufacturing technology system, based on the integration of AI technology with information communications, manufacturing, and related product technology. Moreover, from the perspectives of intelligent manufacturing application technology, industry, and application demonstration, the current development in intelligent manufacturing is discussed. Finally, suggestions for the appli-cation of AI in intelligent manufacturing in China are presented.
Drath, R., Horch, A., 2014. Industrie 4.0: hit or hype? IEEE Ind. Electron. Mag., 8(2):56–58.
2
Evans, P.C., Annunziata, M., 2012. Industrial Internet: Pushing the Boundaries of Minds and Machines. General Electric.
3
Ivanov, D., Dolgui, A., Sokolov, B., , 2016. A dynamic model and an algorithm for short-term supply chain scheduling in the smart factory industry 4.0. Int. J. Prod. Res., 54(2):386–402.
4
Lasi, H., Fettke, P., Kemper, H.G., , 2014. Industry 4.0. Business Inform. Syst. Eng., 6(4):239–242.
5
Lee, J., Bagheri, B., Kao, H.A., 2015. A cyber-physical sys-tems architecture for Industry 4.0-based manufacturing systems. Manuf. Lett., 3:18–23.
Li, B.H., Zhang, L., Chai, X.D., , 2014. Smart cloud manufacturing (cloud manufacturing 2.0)—a new para-digm and approach of smart manufacturing. Proc. Int. Intelligent Manufacturing Conf., p.26.
8
Li, P., 2016. Accelerate the construction and application of industrial intelligent cloud platform. High Technol. Ind., (5):84–88 (in Chinese).
9
Miao, W., 2016. Speech at the National Meeting to Exchange Pilot and Demonstration Experiences on Intelligent Manufacturing (in Chinese).
10
National Manufacturing Strategy Advisory Committee (NMSAC), Strategy Advisory Center of the Chinese Academy of Engineering (SACCAE), 2016. Intelligent Manufacturing. Publishing House of Electronics Industry, Beijing (in Chinese).
Posada, J., Toro, C., Barandiaran, I., , 2015. Visual computing as a key enabling technology for industrie 4.0 and industrial Internet. IEEE Comput. Graph. Appl., 35(2):26–40.
13
Ren, L., Zhang, L., Zhao, C., , 2013. Cloud manufacturing platform: operating paradigm, functional requirements, and architecture design. ASME Int. Manufacturing Sci-ence and Engineering Conf. collocated with the 41st North American Manufacturing Research Conf., p.1–10.
14
Wang, X.W., 2015. Industry 4.0: Road to the Future Industry of German Manufacturing Industry 2025 (Diagram). China Machine Press, Beijing (in Chinese).
15
Winnig, L.W., 2016. GE’s big bet on data and analytics. MIT Sloan Manag. Rev., 57:5.
16
Yang, T., 2015. Predix: the stage pillar of Industrial Internet. China Ind. Rev., (10):76–81 (in Chinese).
