摘要
由于物流仓库储位规格和位置分布的多样性,导致现有方法对货物储位分配难以有效响应流转效率的要求,为此,提出基于改进遗传算法的物流仓库储位智能分配方法。本次以流转效率为基础,通过考虑高周转率的货品尽量靠近出入口位置存放、经常一同出入库的货品尽量放置在一起、重物应尽量优先存放在货架的底层等内容,完成物流仓库储位分配目标函数的设计;然后以物流仓库的储位为种群个体,且每个个体代表一个可能的储位分配方案,利用改进遗传算法完成目标函数寻优,以适应度最大值的储位分配方案为最终执行方案完成物流仓库货物储位的分配。最终测试结果表明,设计分配方法完成调度任务的总耗时为116.0min,对应的流转效率明显高于对照组,应用效果较好。
Due to the diversity of storage specifications and location distribution in logistics warehouses,existing methods for goods storage allocation are difficult to effectively respond to the requirements of flow efficiency.Therefore,an intelligent allocation method for logistics warehouse storage based on an improved genetic algorithm is proposed.Based on the efficiency of circulation,this design aims to achieve the objective function of logistics warehouse storage allocation by considering the storage of goods with high turnover rates as close as possible to the entrance and exit positions,placing goods that frequently enter and exit together as much as possible,and prioritizing the storage of heavy items at the bottom of the shelves;Then,the storage space of the logistics warehouse is taken as the population individual,and each individual represents a possible storage space allocation scheme.The improved genetic algorithm is used to optimize the objective function,and the storage space allocation scheme with the maximum fitness is used as the final execution scheme to complete the allocation of goods storage space in the logistics warehouse.The final test results show that the total time required for the design allocation method to complete the scheduling task is 116.0 minutes,and the corresponding flow efficiency is significantly higher than that of the control group.The application effect is good.
作者
蔡威
李春晖
高子弋
梁远星
赖莉敏
CAI Wei;LI Chunhui;GAO Ziyi;LIANG Yuanxing;LAI Limin(Guangzhou Power Supply Bureau,Guangdong Power Grid Co.,Ltd.Guangdong Guangzhou 510000)
出处
《长江信息通信》
2024年第12期163-165,共3页
Changjiang Information & Communications
关键词
流转效率
目标函数
货物自身规格
寻优范围
择优原则
Circulation efficiency
Objective function
The specifications of the goods themselves
Optimization scope
The principle of selecting the best
作者简介
蔡威(1981-),男,广东河源人,本科,工程师,主要研究方向:数字供应链管理。
