AEROSPACE SHANGHAI, Volume. 42, Issue 2, 58(2025)

Research on Key Technologies of Intelligent Factories for Multi-variety and Large-scale Production of Aerospace Flight Vehicles

Xiaojia LIU, Yongjiang XIA, Zheng DAI, Kun WANG, Xiao LIU, and Haibo HONG*
Author Affiliations
  • Shanghai Spaceflight Precision Machinery Institute,Shanghai201600,China
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    References(4)

    [13] A L SZEJKA, O C JUNIOR. Knowledge-based expert system to drive an informationally interoperable manufacturing system:an experimental application in the aerospace industry. Journal of Industrial Information Integration, 41, 100661(2024).

    [14] H ARNARSON, S A R TAHIR, B SHU et al. Intelligent and self-reconfigurable manufacturing system. Procedia Computer Science, 232, 2887-2900(2024).

    [15] T G JEFFERSON, P BENARDOS, S RATCHEV. Reconfigurable assembly system design methodology:a wing assembly case study. SAE International Journal of Materials and Manufacturing, 9, 31-48(2016).

    [16] A CAGGIANO, A MARZANO, R TETI. Resource efficient configuration of an aircraft assembly line. Procedia CIRP, 41, 236-241(2016).

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    Xiaojia LIU, Yongjiang XIA, Zheng DAI, Kun WANG, Xiao LIU, Haibo HONG. Research on Key Technologies of Intelligent Factories for Multi-variety and Large-scale Production of Aerospace Flight Vehicles[J]. AEROSPACE SHANGHAI, 2025, 42(2): 58

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    Paper Information

    Category: Intelligent Manufacturing and Smart Factories

    Received: Nov. 17, 2024

    Accepted: --

    Published Online: May. 26, 2025

    The Author Email:

    DOI:10.19328/j.cnki.2096-8655.2025.02.007

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