基于MDP-GERT的航空装备维修保障流程优化研究

针对航空装备维修保障中存在的维修保障能力难以满足保障需求的问题,结合马尔科夫决策过程与图示评审技术,提出了一种新的航空装备维修保障流程优化模型。首先在GERT网络中嵌入决策节点,以总维修时间为目标函数,构建了航空装备维修保障流程MDP-GERT网络模型；然后利用策略迭代法和蒙特卡罗仿真技术,给出了模型的求解方法；最后,结合案例得到多机充氮流程的优化工序和预计时间,验证了模型和算法的可行性和有效性。结果表明:利用该模型对保障流程进行优化,能够有效地为缩短维修保障时间提供决策支持,提高维修保障效率。

Research on Optimization of Maintenance Support Process of Aviation Equipment Based on MDP-GERT

Aiming at the problem that maintenance support capability in aviation equipment maintenance support is difficult to meet the requirement of maintenance support, a new optimization model of aviation equipment maintenance support process is proposed based on Markov decision process and graphical evaluation review technology. Firstly, taking the total maintenance time as the objective function with decision nodes embedded in the GERT network, the MDP-GERT network model of aviation equipment maintenance support process is constructed. Then, by using the strategy iteration and Monte Carlo simulation technology, solving method of the model is given. Finally, the optimization procedure and estimated time of the nitrogen filling process of several aircrafts are obtained through a case study, which verified the feasibility and effectiveness of the model and algorithm. The results show that this model can effectively provide decision support for shortening maintenance support time and improving maintenance support efficiency by optimizing maintenance process.