Research on Logistics Tracking System for Intelligent Manufacturing Workshop in Shipbuilding based on Digital Twin Automata

Authors

  • Qiucheng Xia

DOI:

https://doi.org/10.54691/5x62k692

Keywords:

Ship Intelligent Manufacturing, Digital Twin, Logistics Tracking, Internet of Things (IoT), RFID.

Abstract

Aiming at the problem of low efficiency in logistics management of shipbuilding enterprises in China,this paper proposes an intelligent manufacturing workshop logistics tracking system based on digital twin technology. The system utilizes Internet of Things (IoT) technology, RFID tags, and sensing devices to achieve real-time monitoring and visual management of the entire process of materials from procurement, warehousing, and outbound to production. Application results show that this system can significantly improve the logistics efficiency of shipbuilding enterprises, reduce operational costs, and provide a feasible technical solution for the construction of intelligent shipyards.

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References

[1] Wang, L., & Zhang, H. (2016). Research on the Application Planning of Intelligent Manufacturing Technology in Shipbuilding Enterprises. Journal of Jiangsu University of Science and Technology (Natural Science Edition), 30(4), 412-418.

[2] Liu, S., Bao, J., & Lu, Y. (2020). Research on the Architecture of Intelligent Manufacturing System for Ships Based on CPS. Computer Integrated Manufacturing Systems, 26(7), 1745-1760.

[3] Li, J., & Zhao, K. (2024). Research on Shipping and Shipbuilding Empowered by Industry 4.0 Technologies. Science Technology and Engineering, 24(30), 12828-12842.

[4] Chen, X. (2015). Research on Online Material Tracking Information System Based on RFID. Shanghai: Shanghai Jiao Tong University Press.

[5] Tao, F., Zhang, M., & Nee, A.Y.C. (2019). Digital Twin Driven Smart Manufacturing. Academic Press.

[6] Grieves, M., & Vickers, J. (2017). Digital Twin: Mitigating Unpredictable, Undesirable Emergent Behavior in Complex Systems. In Transdisciplinary Perspectives on Complex Systems (pp. 85-113). Springer, Cham.

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Published

24-12-2025

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Section

Articles