同种类的
灵活性(工程)
同质性(统计学)
水准点(测量)
计算机科学
重新安置
计算机数据存储
物料搬运
存储模型
数学优化
工程类
旅行时间
拣选订单
模拟
系统设计
工业工程
空间分割
优化设计
线性规划
存储管理
分布式计算
可靠性工程
运筹学
储存效率
响应时间
机架
稳健性(进化)
作者
G. Sirri,Riccardo Accorsi,Giacomo Lupi,Riccardo Manzini
标识
DOI:10.1007/s00170-026-18825-9
摘要
Abstract Dual-access deep-lane storage and retrieval (S/R) systems are advanced warehousing solutions that allow access to storage lanes from both ends. By adopting homogeneous assignment strategies that restrict each lane to a single item at a time, these systems enhance space efficiency and operational flexibility by reducing travel distances and relocation activities. However, their design poses significant challenges for modern logistics companies, as multiple interrelated factors affect system performance. This study proposes a multiperiod optimization model for the storage assignment of homogeneous dual-access deep-lane S/R systems. The model incorporates item homogeneity and dynamic lane depth, enabling flexible lane partitioning over time while preventing blocking and relocations. The objective is to maximize space efficiency by minimizing the nominal storage capacity required to accommodate all S/R transactions. The model is validated on a real industrial case study against a benchmark single-access storage system. In addition, a multi-scenario analysis is conducted on a multi-aisle shuttle-based S/R system to evaluate the impact of item homogeneity and lane depth. Results demonstrate the effectiveness of the proposed model as a strategic decision-support tool for the design of homogeneous dual-access deep-lane S/R systems, highlighting its industrial applicability in real-world contexts.
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