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一种考虑货位共享效应的Fishbone仓储布局优化方法

A Layout Optimal Method of Fishbone Warehouse Considering Space Sharing Effect
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摘要 以Fishbone仓储布局为基础,针对3种经典存储策略,考虑货位共享效应,以单程平均货物拣选距离最短为目标,建立Fishbone布局仓库设计优化模型,以探讨将货位共享效应考虑在内时,不同存储策略对仓储布局的影响;采用分次逼近策略和动态规划算法确定货物的优化分类及类别边界;设计基于自适应的遗传算法获得最优存储分类下的仓储布局参数,并结合案例实验数据进行仿真分析。结果表明,基于分类存储策略的仓储布局表现优异,所需货位数量少且货物拣选距离短;另外,仓储存储物品的需求差异越大,考虑货位共享效应的优势就越显著,最高可减少37.1%的货物拣选距离。 Fishbone layout warehouse is formed by inserting two main channels in the traditional rectangular warehouse,which has obvious advantages in sorting efficiency.Based on the Fishbone warehouse layout,an optimization model of Fishbone warehouse design was established to investigate the effects of different storage strategies on the warehouse layout when the space sharing effect was taken into account and the minimum one-way average picking distance.A gradational approximation strategy and dynamic programming algorithm were used to determine the optimal classification and class boundary.And then an adaptive genetic algorithm was designed to obtain the optimization storage layout parameters under the optimization storage classification.A simulation analysis was conducted based on the experimental data of the case.The results show that the warehouse layout based on the classification storage strategy performs well,and less space is required and the picking distance of goods is smaller.In addition,the greater the demand difference of goods stored in the warehouse is,the more significant the advantage of considering the space sharing effect is,which can reduce the picking distance of goods by up to 37.1%.
作者 刘建胜 杨林 高腾飞 LIU Jiansheng;YANG Lin;GAO Tengfei(School of Advanced Manufacturing,Nanchang University,Nanchang 330031,China;School of Economics and Management,Nanchang University,Nanchang 330031,China)
出处 《工业工程》 北大核心 2022年第5期90-97,共8页 Industrial Engineering Journal
基金 国家自然科学基金资助项目(51565036) 南昌大学研究生创新专项基金资助项目(CX2019041)。
关键词 Fishbone布局 货位共享效应 分次逼近策略 动态规划 自适应遗传算法 Fishbone layout space sharing effect gradational approximation strategy dynamic programming adaptive genetic algorithm
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