Exploring logistics transport route optimization: An algorithmic study based on RFID technology

Article type: Research Article

Authors: Guo, Jing^a | Wang, Yalan^{a; *} | Guo, Ying^b | Dai, Shuaijun^c | Yan, Ruyu^d | Shi, Zaijie^e

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

Correspondence: [*] Corresponding author: Yalan Wang, Henan Polytechnic, Zhengzhou, Henan, China, 450000. E-mail: [email protected].

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.

Keywords: RFID technology, logistics, adaptive taboo search algorithm, nearest neighbor algorithm, scheduling

DOI: 10.3233/RFT-230059

Journal: International Journal of RF Technologies, vol. 14, no. 2, pp. 107-124, 2024