数据挖掘在维修器材货位优化中的应用  

Application of Data Mining in Maintenance Material Slotting Optimization

作　　者：陈海松[1] 楼增龙 贺伟雄 张洋[1] 

机构地区：[1]中国人民解放军理工大学野战工程学院,南京210007

出　　处：《四川兵工学报》2014年第7期33-36,共4页Journal of Sichuan Ordnance

摘　　要：针对部队维修器材货位优化问题,按照为取而存的基本原则,提出了维修器材的综合重要度概念。通过用数据挖掘中的时序预测得到维修器材的综合重要度值,用ABC分类法对货架进行分区,最后根据维修器材和货架区耦合分配得到货位优化分配方案。For the problem of army maintenance material slotting optimization,according to the basic principle of easy-picking,this paper puts forward the concept of comprehensive importance of maintenance material and get the number of comprehensive importance of maintenance material through the time series prediction.ABC Classification method is applied in the partition of the shelves,maintenance material and shelves are coupled to get the plan of slotting optimization.

关 键 词：数据挖掘 时序预测 维修器材 货位优化 

分 类 号：E233[军事—军事理论]