Jing Guo, Yalan Wang, Ying Guo, Shuaijun Dai, Ruyu Yan, Zaijie Shi
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引用次数: 0
摘要
随着电子商务的迅猛发展,物流公司面临着如何进行高效路由和调度以满足动态配送需求的挑战。本文提出了一种新颖的物流调度模型,利用射频识别(RFID)技术优化车辆路由。本文建立了一个车辆调度模型。采用自适应禁忌搜索算法结合近邻算法来解决随机客户需求和服务时间问题。对比实验证明,与其他方法相比,改进后的方法在完成任务和减少排队时间方面表现出色。为一家物流公司进行的路线优化案例研究表明,与单独使用 RFID 相比,该模型推荐的优化路线可将总运输成本降低 25% 以上。结果凸显了所提技术在提高物流效率方面的潜力。此外,还讨论了局限性和未来工作。
Exploring logistics transport route optimization: An algorithmic study based on RFID technology
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.