基于谱聚类的Kiva系统货位分配研究  

Research on Kiva System Storage Assignment Based on Spectral Clustering

作　　者：杨玮[1] 段毅林 赵晶 马伟 钟名锋 YANG Wei;DUAN Yilin;ZHAO Jing;MA Wei;ZHONG Mingfeng(College of Mechanical and Electrical Engineering,Shaanxi University of Science&Technology,Xi’an 710021)

机构地区：[1]陕西科技大学机电工程学院,西安710021

出　　处：《现代制造技术与装备》2021年第12期81-83,87,共4页Modern Manufacturing Technology and Equipment

摘　　要：针对企业临近波次作业压力大的实际情况,采用最大化货架内部所有货物的关联度之和为目标函数,构建货位分配模型,并使用谱聚类算法对货物进行聚类,再综合货架间的相关性,完成货位分配。In view of the actual situation of high pressure in the near-wave operation of the enterprise,the sum of the correlation degree of all the goods in the shelf is maximized as the objective function to construct the cargo location allocation model.Secondly,use the spectral clustering algorithm to cluster the goods,and then integrate the correlation between the shelves to complete the allocation of goods.

关 键 词：Kiva系统 货位分配 谱聚类 关联性 

分 类 号：TP311.13[自动化与计算机技术—计算机软件与理论] F252[自动化与计算机技术—计算机科学与技术] F724.6[经济管理—国民经济]