To address the issues of low efficiency and high error rates in green tires logistics management for small and medium-sized tire manufacturing enterprises, this study designed an UWB-based FIFO system for green tires storage and retrieval. The system integrates a UWB positioning network with multi-base station redundancy collaboration, centroid correction algorithms, and FIFO prioritization to dynamically determine the retrieval sequence of green tires. A dual-mode display panel provides real-time visual guidance for operators. Comparative experiments demonstrated that after system implementation, the average retrieval time decreased significantly from 3.017 minutes to 1.009 minutes (a 66.6% reduction), while the error rate dropped from 7.38% to 0.23%, markedly enhancing retrieval accuracy. Operational stability across different time periods was also improved. The results indicate that the system effectively resolves challenges such as green tires expiration, time-consuming retrieval, and operational errors inherent in traditional manual workflows, offering a viable solution for intelligent warehouse management in small and medium-sized tire enterprises. This research provides a practical framework for optimizing logistics efficiency and precision in the manufacturing sector.