Using Radio Frequency Identification for Aviation Logistics Planning Systems Optimization

Modern aviation logistics faces numerous challenges, including the need for fast processing of large cargo volumes, cost reduction, and ensuring accuracy in monitoring. This study explores the integration of electronic monitoring and planning systems, built on radio frequency identification (RFID) technology, to optimize aviation logistics operations. The proposed system incorporates radio readers, a centralized database, and mathematical optimization models, offering cost-effective and efficient solutions to key logistical issues. By enabling real-time cargo tracking, improving workflow transparency, and reducing errors, the system enhances overall operational efficiency. These benefits contribute to the environmental sustainability of cargo operations and align with green energy transition efforts. This paper provides an indepth review of the methodology, results from system modeling, and implications for future research and implementation. The findings indicate that the adoption of RFID technology can significantly streamline logistics processes, reduce opera-tional costs, and improve the accuracy of cargo handling. Future research should focus on scaling the technology for broader applications and addressing integra-tion challenges across global aviation networks.