摘要
为满足新时代自动化密集仓储系统的需求,在保持高仓储密度的同时,也需重视系统的灵活性与高效性。因此,结合活立方密集仓储系统的多倍深存储和3D穿梭车仓储系统中的六向移动技术,提出以三维自主移动穿梭车为核心的活立方密集仓储系统。针对该系统中的存取货调度问题,建立了基于整数规划的三维网络流模型。为比较仓储密度相同时,包含提升机的传统活立方密集仓储系统与以三维自主移动穿梭车为核心的活立方密集仓储系统在存取货效率方面的性能,在不同系统配置下通过大量算例进行了数值实验,结果表明:以三维自主移动穿梭车为核心的活立方密集仓储系统在存取货时间上平均节省30%,系统效率有着较为显著的提高;模型在不同系统配置下均具有良好的求解性能,验证了三维网络流模型的有效性与通用性。
In order to meet the needs of the new era of automated compact storage systems,while maintaining high storage density,it is also necessary to pay attention to the flexibility and efficiency of systems.Therefore,combining the multi-deep storage of Live-Cube Compact Storage System and the six-way moving technology in 3D shuttle-based storage system,Live-Cube Compact Storage System with 3D autonomous mobile shuttles as the core is proposed.For the access scheduling problem in the system,a 3D Network Flow model based on integer planning is established.To compare the performance of traditional Live-Cube Compact Storage System with an elevator and Live-Cube Compact Storage System with 3D autonomous mobile shuttles as the core in terms of storage and retrieval efficiency when the storage density is the same,numerical experiments are carried out with a large number of instances in different system configurations.The results show that:Live-Cube Compact Storage System with 3D autonomous mobile shuttles as the core saves an average of 30% in storage and retrieval time,and the system efficiency has been significantly improved;the model has a good performance under different system configurations,which verifies the validity and versatility of the 3D Network Flow model.
作者
熊依蓓
马云峰
卢阳
XIONG Yibei;MA Yunfeng;LU Yang(School of Management,Wuhan University of Science and Technology,Wuhan 430065,China;Center for Service Science and Engineering,Wuhan University of Science and Technology,Wuhan 430065,China;INTPLOG,Wuhan 430000,China)
出处
《物流科技》
2024年第10期74-79,共6页
Logistics Sci-Tech
基金
教育部人文社会科学基金(19YJA630054)
武汉科技大学资助项目智慧物流数字运营平台开发研究(2022H20537)
武汉科技大学研究生创新创业基金项目(JCX2021034)。