装备维修备件需求预测与决策方法研究

The Study of Requirement Forecasting and Decision-making Methodology of Equipment's Maintenance Spares-parts

以装备维修备件需求预测与决策问题为研究对象,依据某部队特种装备维修备件需求量统计数据,运用粗糙集协调近似表示空间模型方法,建立了该作战单元装备维修备件需求量的知识表示系统,并应用该方法对其决策信息系统进行属性约简、规则融合,获得较好的预测与决策规则。该研究对快速、精确预测装备维修备件需求量和实现装备保障精确化具有重要技术支撑作用。

In allusion to the problem of requirement forecasting and decision-making methodology of equipment maintenance spares-parts,and based on the statistical data about requirement of maintenance spare-parts of a certain specific equipment,a knowledge-representation system on the requirement of equipment maintenance spares-parts of this battle unit was built up with the method of rough set consistent-appreciative denoted space model.Then the method was employed to make attribute reduction and rule amalgamation of the information system for decision-making,and a better rule for forecasting and decision-making was achieved.This study provides an important technical support to get quick and precise forecasting on requirements of equipment spare-parts and achieve the precision of equipment security.