Joint optimization of order picking and replenishment in robotic mobile fulfillment systems

IF 8.3 1区工程技术 Q1 ECONOMICS

Transportation Research Part E-Logistics and Transportation Review Pub Date : 2025-02-01 DOI:10.1016/j.tre.2024.103930

Jingwen Wu, Zhiyuan Yang, Lu Zhen, Wenxin Li, Yiran Ren

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引用次数: 0

Abstract

Advancements in intelligent warehousing have spotlighted the robotic mobile fulfillment system as a transformative solution for modern logistics challenges. This paper introduces a five-stage mixed-integer programming model designed to optimize the robotic mobile fulfillment system (RMFS) by minimizing the longest completion time, a critical metric in warehouse efficiency. Our comprehensive model strategically integrates the assignment of orders to stations and pods, the deployment of pods to robots, and the intricate details of route planning, order picking, and replenishment. Utilizing a variable neighborhood search algorithm, we not only tackle the complex scheduling decisions among orders, robots, stations, and pods but also demonstrate the model’s effectiveness through rigorous numerical experiments. The results provide pivotal insights, revealing significant potential for enhancing the RMFS efficiency and offering practical guidance for warehouse managers.

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机器人移动履约系统中拣货和补货的联合优化

智能仓储的进步凸显了机器人移动履行系统作为现代物流挑战的变革性解决方案。本文介绍了一个五阶段混合整数规划模型，旨在通过最小化最长完成时间来优化机器人移动配送系统（RMFS），这是仓库效率的一个关键指标。我们的综合模型战略性地集成了将订单分配到站点和豆荚，将豆荚部署到机器人，以及路线规划，订单挑选和补充的复杂细节。利用可变邻域搜索算法，我们不仅解决了订单、机器人、站点和pod之间复杂的调度决策，而且通过严格的数值实验证明了模型的有效性。结果提供了关键的见解，揭示了提高RMFS效率的巨大潜力，并为仓库管理人员提供了实用的指导。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Transportation Research Part E-Logistics and Transportation Review 工程技术-工程：土木

CiteScore

16.20

自引率

16.00%

发文量

285

审稿时长

62 days

期刊介绍： Transportation Research Part E: Logistics and Transportation Review is a reputable journal that publishes high-quality articles covering a wide range of topics in the field of logistics and transportation research. The journal welcomes submissions on various subjects, including transport economics, transport infrastructure and investment appraisal, evaluation of public policies related to transportation, empirical and analytical studies of logistics management practices and performance, logistics and operations models, and logistics and supply chain management. Part E aims to provide informative and well-researched articles that contribute to the understanding and advancement of the field. The content of the journal is complementary to other prestigious journals in transportation research, such as Transportation Research Part A: Policy and Practice, Part B: Methodological, Part C: Emerging Technologies, Part D: Transport and Environment, and Part F: Traffic Psychology and Behaviour. Together, these journals form a comprehensive and cohesive reference for current research in transportation science.