Affiliations: [a] Henan Polytechnic, Zhengzhou, Henan, China
| [b]
Henan University of Engineering, Zhengzhou, Henan, China
| [c] The Fourth Geological Brigade Henan Nonferrous Metals Geological and Mineral Bureau, Zhengzhou, Henan, China
| [d]
Henan Polytechnic University, Jiaozuo, Henan, China
| [e] HongHao Information Technologies Co., Ltd., Zhengzhou, Henan, China
Abstract: With the rapid growth of e-commerce, logistics companies face challenges in efficient routing and scheduling to meet dynamic delivery demands. This paper proposes a novel logistics scheduling model to optimize vehicle routing using Radio Frequency Identification (RFID) technology. A vehicle scheduling model is developed. The random customer demand and service time are solved using an adaptive taboo search algorithm combined with a nearest neighbor algorithm. Comparative experiments demonstrate the performance of the improved method in completing tasks and reducing queueing time compared to other methods. A case study of route optimization for a logistics company shows the model can recommend optimized routes that reduce total transportation cost by over 25% compared to using RFID alone. The results highlight the potential of the proposed technique to enhance logistics efficiency. Limitations and future work are discussed.