基于关联性分析的智能仓库货位优化研究  

Study on the Optimization of Storage Location in Intelligent Warehouse Based on Relevance Analysis

作　　者：曾敏刚[1] 张俊杰 陈伟贤 ZENG Mingang;ZHANG Junjie;CHEN Weixian(School of Business Administration,South China University of Technology,Guangzhou 510641,China)

机构地区：[1]华南理工大学工商管理学院,广东广州510641

出　　处：《物流科技》2021年第6期10-14,37,共6页Logistics Sci-Tech

基　　金：教育部哲学社会科学研究重大课题攻关项目(17JZD020);广东省基础与应用基础研究专项资金项目(2017A030313409);中央高校基本科研业务费专项资金资助项目(2015XZD19)。

摘　　要：订单分拣是仓储作业中很重要的一个环节,而智能仓库拣选中货架的位置处于动态变化中,因此进行合理的货位布局尤为重要。为有效解决智能仓库货位分配问题,提出了在仓库中设置关联货物储存区的策略,进而给出了基于关联性分析的货位优化方案,即先根据历史出库订单数据进行关联性分析以进行储位布局,以实现机器人搬运货架次数最少的目标;同时考虑COI指数等因素进行建模确定货架布局,以实现机器人搬运路径最短的目标。最后,通过算例分析,验证了基于关联分析的货位优化方案的有效性。Orders sorting is an important part of warehousing operations,the position of shelves is in dynamic change in intelligent warehouse,so it is particularly important to carry out reasonable location layout.The strategy of setting up associated cargo storage area in warehouse is proposed so as to realize the optimization of storage location in intelligent warehouse.Then,a new optimization solution of storage location is put forward:first,the correlation analysis is carried out according to the historical outgoing order data to carry out the layout of storage space,so as to achieve the goal of minimizing the number of cargo sorties carried by robots.At the same time,the factors included COI index are taken into the model to realize the shelf layout in order to achieve the goal of the shortest moving path of the robot.Finally,the effectiveness of the location optimization scheme based on correlation analysis is verified by an example.

关 键 词：货位优化 关联规则 APRIORI算法 智能仓库 

分 类 号：F253[经济管理—国民经济]