摘要
针对战时备件资源的稀缺性、维修历史数据的不完整性、情境因素异构性等问题,提出一种基于情境匹配的战时备件分配方法。利用战时情境匹配相对近似度的概念,在战时情境因素值为精确值与区间值共存的情况下,根据公平性准则,采用情境与分配的平均相关系数(ARC)和平均相对可分系数(ARS)2个绩效指标,对每个备件需求点的备件数量及所处战斗实际情况的相符程度进行度量,通过Matlab软件对数值进行仿真计算。仿真结果证明了该模型的有效适用性。
Aiming at the rare war time spare parts,incomplete maintenance history data,situation factor heterogeneity and so on.Put forward the wartime spare parts allocation model method based on situation matching.Use wartime situation matching approximation degree,based on coexistence of accurate value and interval value in wartime situation and according to fairness principle,adopt average correlation coefficient(ARC)and average relative separability(ARS)to measure the quantity of spare parts allocated for each spare parts demand point and the actual degree of conformity of the situation.Finally,the Matlab software is used to verify the numerical value,which proves the effective applicability of the model.
作者
孙正
戈洪宇
Sun Zheng;Ge Hongyu(Department of Equipment Command&Management,Shijiazhuang Campus of PLA University of Army Engineering,Shijiazhuang 050003,China;No.63853 Unit of PLA,Baicheng 137000,China)
出处
《兵工自动化》
2019年第9期53-59,共7页
Ordnance Industry Automation
基金
军内预研基金资助项目(9140A27040414JB34001)
