主成分分析和聚类在器材采购优先级制定中的应用  

The Application of Principal Component Analysis and Clustering in the Formulation of Materials Procurement Priority

作　　者：刘畅 肖斌[1] 伍洁[1] 张东东 蒋铁军[1] LIU Chang;XIAO Bin;WU Jie;ZHANG Dongdong;JIANG Tiejun(Naval University of Engineering,Wuhan 430033,China;Second Mobile Corps of Armed Police,Fuzhou 350200,China)

机构地区：[1]海军工程大学,武汉430033 [2]武警第二机动总队,福州350200

出　　处：《火力与指挥控制》2022年第6期107-114,共8页Fire Control & Command Control

基　　金：国家社会科学基金军事学基金资助项目(16GJ003-105)。

摘　　要：为做好装备器材的合理分类和库存的科学管理,通过建立采购优先级评价指标体系,引入主成分分析法对采购优先级评价的原始指标进行降维,确定聚类指标,采用改进的k-means算法划分采购优先等级。最后考虑分级后的库存管理,选取各类别针对性的库存模型。实例分析表明,器材的分级情况较理想,分类的制定较合理,提出的分类方法和库存管理策略有一定的可行性。In order to make in the reasonable classification of equipment and to make scientific management of inventory a procurement priority evaluation index system is established,and then the principal component analysis method is introduced to reduce the dimensionlity of the original index of the procurement priority evaluation,the clustering index is determined,and then the improved k-means algorithm is used to divide the procurement priority grade.Finally,the inventory management after grading is considered,the inventory model specific to each category are selected.The case analysis shows that the classification of the equipment is ideal,the classification formulation is more reasonable,and the proposed classification method and inventory management strategy has certain feasibility.

关 键 词：装备器材 采购优先 级聚类分析 主成分分析 

分 类 号：E92[军事—军事装备学] TP18[兵器科学与技术—武器系统与运用工程]