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Telecommunications and Radio Engineering

Publication de 12  numéros par an

ISSN Imprimer: 0040-2508

ISSN En ligne: 1943-6009

SJR: 0.185 SNIP: 0.268 CiteScore™:: 1.5 H-Index: 22

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AUTOMATIC IDENTIFICATION MANAGEMENT OF GOODS IN WAREHOUSE LOGISTICS BASED ON RFID TECHNOLOGY

Volume 79, Numéro 13, 2020, pp. 1167-1176
DOI: 10.1615/TelecomRadEng.v79.i13.60
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RÉSUMÉ

With the rapid development of the logistics industry, the requirements, and standards for the identification of goods in warehouse logistics have become higher and higher. Therefore, it needs to continuously strengthen the automatic identification ability of goods in warehouse logistics to improve and perfect the logistics management system. In this paper, the radio frequency identification (RFID) system is taken as the main research object, an automatic identification model of goods in warehouse logistics based on RFID technology is established, and six hundred goods in warehouse logistics are selected to carry out corresponding label identification research through RFID system. The experimental results of related parameters such as the number of goods identified correctly, the number of goods identified incorrectly, the number of goods rejected to identify, the stability, etc. are obtained. The experimental conclusions that the RFID system has better performance and stability for the automatic identification of goods in the warehouse logistics compared with the traditional cargo identification system, and the experimental results are significant are drawn. This study provides a new route for the research on automatic identification management of goods in warehousing logistics.

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CITÉ PAR
  1. Du Chenglong, Shi Guolong, Logistics and Warehousing Intelligent Management and Optimization Based on Radio Frequency Identification Technology, Journal of Sensors, 2021, 2021. Crossref

  2. Alexandr Astafiev, Anton Demidov, Mikhail Makarov, Ilya Kondrushin, Comparative Analysis of Indoor Positioning Methods Based on the Wireless Sensor Network of Bluetooth Low Energy Beacons, 2020 International Conference Engineering and Telecommunication (En&T), 2020. Crossref

  3. Casella Giorgia, Filippelli Serena, Bigliardi Barbara, Bottani Eleonora, Radio frequency identification technology in logistics: A review of the literature, International Journal of RF Technologies, 12, 2, 2022. Crossref

  4. Voronova Olga, Improvement of warehouse logistics based on the introduction of lean manufacturing principles, Transportation Research Procedia, 63, 2022. Crossref

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