仓储密集区域物流配送点储位分配优化仿真  

Simulation of Location Allocation Optimization of Logistics Distribution Points in Dense Warehouse Area

作　　者：付芳 周万洋 FU Fang;ZHOU Wan-yang(Jiangxi University of Applied Science,Nanchang Jiangxi 330100,China;De La Salle University Dasmarinas,Cavite Philippines)

机构地区：[1]江西应用科技学院,江西南昌330100 [2]德拉萨大学达斯马瑞纳校区,菲律宾卡威迪省

出　　处：《计算机仿真》2022年第2期83-87,共5页Computer Simulation

基　　金：2020年广西高校中青年教师科研基础能力提升项目(2020KY19028)。

摘　　要：当前的物流配送点储位分配方法无法对储位与入库站台间的距离实现最优调节,导致传统方法下的货物出库效率偏低。针对密集型仓储区域提出了储位分配优化方法。依照“1~最大储位数”规律对仓库内所有储位编码排序,利用位置信息计算与出入库站台间的距离特征码,按照货物种类的不同,将货架划分为扇形区域。结合储位优化策略,考虑货架自身的稳定性以及货物的出入库效率,利用遗产算法的选择、交叉和变异,对优化问题的多目标函数求得最优解,完成对储位的合理分配。在某物流企业搭建仿真平台,参考堆垛机的工作效率,所提方法按照储位分配原则对货物实现了合理分配,提高了货架的稳定性以及货物的出入库效率。Currently, the storage allocation method of logistics distribution points ignores the optimal adjustment of the distance between the storage space and the storage platform, resulting in low goods delivery efficiency. This paper designs an optimization method of storage space allocation in the dense storage area. The law of "1 ~ maximum storage bits" was introduced to encode and sort all storage bits in the warehouse. The location information was utilized to calculate the distance characteristic code between the warehousing platforms. Shelves were divided into fan-shaped areas according to type. The storage optimization strategy, the stability of the shelf itself and the warehousing efficiency of goods were combined, and the optimal solution of the multi-objective function of the optimization problem was obtained by using the selection, crossover and variation of the heritage algorithm. Finally, the reasonable allocation of storage was completed. Taking the working efficiency of stacker in a logistics enterprise as the research object, the results show that this method realizes the reasonable distribution of goods, improves the stability of shelves and the efficiency of goods in and out of storage.

关 键 词：物流配送点 储位分配优化 距离特征码 出入库效率 多目标函数 

分 类 号：F512.3[经济管理—产业经济]