Investment feasibility and optimization strategies of RFID technology in logistics field
Abstract The rapid growth of logistics demand has made improving operational efficiency and service level an important development goal for logistics enterprises. Radio frequency identification technology has great potential in logistics processes such as cargo tracking and path optimization due to...
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| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-07-01
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| Series: | Scientific Reports |
| Subjects: | |
| Online Access: | https://doi.org/10.1038/s41598-025-11483-z |
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| Summary: | Abstract The rapid growth of logistics demand has made improving operational efficiency and service level an important development goal for logistics enterprises. Radio frequency identification technology has great potential in logistics processes such as cargo tracking and path optimization due to its real-time and efficient nature. However, existing research mostly focuses on the theoretical application of technology, lacking support for investment feasibility analysis and system optimization strategies based on practical scenarios. Therefore, this study proposes a logistics optimization solution that combines RFID technology with two core modules: cargo tracking and path optimization. The results demonstrated that the cargo tracking scheme enhanced the tracking accuracy to 98.7%, reduced the cargo circulation time by 22.1%, and significantly reduced the cargo circulation error rate. The path optimization scheme improved delivery efficiency by 23.5% and reduced transportation costs by 18.2% by reducing ineffective travel distance. Further analysis showed that after the deployment of the plan, the overall logistics operation efficiency has increased by 21.8%, and the warehousing turnover rate has increased by 19.4%. In addition, this study further explored the key challenges in the implementation of radio frequency identification technology and proposed targeted optimization strategies. This study provides important reference for logistics enterprises in investment decision-making and application promotion of radio frequency identification technology, which helps to improve the intelligence level of logistics systems and reduce operating costs. |
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| ISSN: | 2045-2322 |