摘要
基于建立的车辆器材数据仓库,通过OLAP分析实现对器材库存多维数据的多层次、全角度分析与浏览。利用多种不同的挖掘模型,对数据仓库中的器材库存数据进行深度挖掘,得出相应的预测结果,以此来支持器材管理者库存管理决策活动。
In this paper, based on a vehicle equipment data warehouse established, the multi-layered and omni-angle review and analysis of the muhi-dimensional data of the equipment inventory was realized based on the OLAP. Then by way of a variety of different data mining models, the equipment inventory data in the data warehouse were mined in depth to obtain the corresponding forecasting results, so as to lend support to the decision-making of the equipment inventory managers.
作者
郭江强
Guo Jiangqiang(Fourth Student Brigade, Ground Force Military Transportation Academy, Tianjin 300161, China)
出处
《物流技术》
2018年第5期144-149,共6页
Logistics Technology