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Review on R&D task integrated management of intelligent manufacturing equipment

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Abstract

With the rapid development of various types of industrial big data technologies, in the context of industrial big data and systems science, intelligent optimization algorithms and other technologies have been widely used in the field of intelligent manufacturing. In recent years, it has not only become an important engine for the transformation and upgrading of smart manufacturing industry, but also brought new opportunities and challenges to the development task integrated management of intelligent manufacturing equipment. This paper reviews the research on task integrated management of intelligent manufacturing equipment development from the following four aspects: task analysis and management of intelligent manufacturing equipment in big data environment, task decomposition and resource allocation, task network analysis and evaluation, and task integration analysis and verification evaluation progress. Prospects for further research are pointed out, including the customized research into high-end equipment developed for the individual needs of users, data-driven optimal allocation of resources research, multi-layer interaction of complex network modeling, intelligent systems integration, and verification evaluation.

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Authors and Affiliations

  1. School of Transportation and Logistics, Central South University of Forestry and Technology, Changsha, 410004, People’s Republic of China

    Teng Ren, Tianyu Luo, Shuxuan Li & Lining Xing

  2. School of Systems Engineering, National University of Defense Technology, Changsha, 410073, People’s Republic of China

    Lining Xing & Shang Xiang

  3. State Key Laboratory of Digital Manufacturing Equipment and Technology, Huazhong University of Science and Technology, 430074, Wuhan, People’s Republic of China

    Lining Xing

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This research work is supported by the National Natural Science Foundation of China (61773120). It is also supported by the Founda-tion for the Author of National Excellent Doctoral Dissertation of China (2014-92), and the Hunan Key Laboratory of Intelligent Logistics Technology (2019TP1015), Beijing intelligent logistics system collabo-rative innovation center open funding project (BILSCIC-2019KF-25).

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Ren, T., Luo, T., Li, S. et al. Review on R&D task integrated management of intelligent manufacturing equipment. Neural Comput & Applic 34, 5813–5837 (2022). https://doi.org/10.1007/s00521-022-07023-9

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