Abstract
In the logistics system, logistics transshipment is the guarantee to meet the service, but it is also one of the main reasons for logistics costs. The information sharing in the modern logistics system makes it possible for the inventory to be shared and quickly flowed between the level logistics nodes, thereby improving the service level and greatly reducing the total cost of system operation. This article uses RFID radio frequency technology related to the Internet of Things and logistics transfer management system for integration and realization. Use modern logistics technology to optimize its transshipment and distribution process, realize transshipment and distribution information sharing, and improve management efficiency. This article first analyzes the application and development status of RFID technology, its advantages and disadvantages and its working principle, and introduces RFID radio frequency technology into the logistics transfer management system. Aiming at some problems in the current logistics transshipment management, this paper determines the system design goals and the software and hardware composition framework by analyzing the requirements of the implementation of RFID-based logistics logistics transshipment systems. At the same time, the in-depth analysis and research of key technologies such as the implementation process of logistics transfer management, RFID tag readers, and middleware are conducted. In order to improve the intelligent management of transshipment materials, the informatization of distribution management and the intelligent efficiency of enterprise management.
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Acknowledgements
1) Project Category: Scientific Research Project of Shaanxi Education Department
2) Project Number: 19JK0154
3) Project Name: Planning of Logistics Transfer Center in Xi Xian New Area Free Trade Zone.
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Zhang, H., Zhang, G., Cai, X. (2021). Logistics Transfer Center Planning Based on Internet of Things Technology. In: Sugumaran, V., Xu, Z., Zhou, H. (eds) Application of Intelligent Systems in Multi-modal Information Analytics. MMIA 2020. Advances in Intelligent Systems and Computing, vol 1233. Springer, Cham. https://doi.org/10.1007/978-3-030-51431-0_27
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DOI: https://doi.org/10.1007/978-3-030-51431-0_27
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