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Logistics automation management based on the Internet of things

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Abstract

In order to enhance the logistics automation management, the radio frequency identification (RFI) is used as the key point of product identification and information collection, and the prototype system of logistics automation management software based on the Internet of things is developed. A hardware prototype platform of logistics warehouse is built, and the software of logistics automation management system based on the Internet of things is tested and run. According to the comparison of three kinds of anti-collision algorithms, the results showed that the backdrop binary anti-collision algorithm can well solve the problem of a large number of repeated test steps and invalid data. In addition, by running the logistics automatic management software system on the hardware platform, it proved that the system can accurately and efficiently obtain the information of goods, reduce the wrong storage allocation and storage, reduce duplication work in warehouse management and improve work efficiency. At the same time, the cost of logistics management is reduced, and the information management of all operation process of automatic identification and access to goods by warehouse management system is finally realized.

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Acknowledgements

The authors acknowledge the Natural Scientific Research Funds for Jiangsu Universities (Nos. 17KJB520008, 17KJA520001).

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Authors and Affiliations

  1. School of Management and Engineering, Nanjing University, Nanjing, China

    Jing Chen

  2. Faculty of Science, Jinling Institute of Technology, Nanjing, China

    Jing Chen

  3. School of Computer Engineering, Jinling Institute of Technology, Nanjing, China

    Wei Zhao

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  1. Jing Chen
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  2. Wei Zhao
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Correspondence to Jing Chen.

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Chen, J., Zhao, W. Logistics automation management based on the Internet of things. Cluster Comput 22 (Suppl 6), 13627–13634 (2019). https://doi.org/10.1007/s10586-018-2041-2

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  • DOI: https://doi.org/10.1007/s10586-018-2041-2

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