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飞机液压系统库存备件综合保障过程存在大量不确定性,使其库存备件保障决策困难。以离散型概率序列运算理论为基础,创建了飞机液压系统库存备件综合保障决策模型。本文将飞机液压系统备件需求、维修、存储的数量看作一维离散的随机变量,并运用离散型概率序列之间的交积、卷差、卷和运算来分析保障决策过程中各随机事件之间的相互作用,从而对飞机液压系统库存备件综合保障过程进行动态描述。通过离散型概率序列运算理论制订了备件保障满足率,来预测飞机液压系统库存备件保障的时机和数量,从而为飞机液压系统库存备件综合保障提供最优的决策依据。试验结果表明,采用所建模型对飞机液压系统库存备件进行综合保障,所得结果与库存备件实际需求状况相符。该方法也可应用于航空航天及其他领域的库存备件保障决策,具有很好的工程应用前景。
There are a lot of uncertainties in the comprehensive support process of the spare parts of aircraft hydraulic system, making it difficult to make decisions on spare parts inventory maintenance. Based on the theory of discrete probability sequence operation, a decision model of integrated support for aircraft spare parts inventory is established. In this paper, we consider the demand, maintenance and storage of aircraft hydraulic system spare parts as one-dimensional discrete random variables. We also analyze the random events in the decision-making process by using the intersection of discrete probability sequences, volume difference, Between the interaction between the aircraft hydraulic system inventory spare parts comprehensive support for the dynamic description. According to the theory of discrete probability sequence operation, the satisfaction rate of spare parts guarantee is formulated to predict the timing and quantity of spare parts support for aircraft hydraulic system, so as to provide the optimal decision basis for the comprehensive protection of aircraft spare parts inventory. The test results show that the proposed model is used to comprehensively protect the inventory of aircraft hydraulic system inventory, and the result is consistent with the actual demand of inventory spare parts. The method can also be applied to the decision-making of spare parts inventory maintenance in aerospace and other fields, and has good engineering application prospects.