基于MDP-GERT的航空装备维修保障流程优化研究  

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

作　　者：郭之俊 王瑛[1] 孙贇 李超 Guo Zhijun;Wang Ying;Sun Yun;Li Chao(College of Equipment Management and UAV Engineering,Air Force Engineering University,Xi"an 710051,China)

机构地区：[1]空军工程大学装备管理与无人机工程学院

出　　处：《航空工程进展》2019年第6期787-793,共7页Advances in Aeronautical Science and Engineering

基　　金：国家自然科学基金(71601183)

摘　　要：航空装备维修保障中存在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(MDP)与图示评审技术(GERT),提出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。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(MDP)and graphical evaluation review technology(GERT).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.

关 键 词：保障流程 MDP-GERT 维修保障流程 GERT 蒙特卡罗仿真 

分 类 号：V241.07[航空宇航科学与技术—飞行器设计]