National Natural Science Foundation of China (62175203); Fujian Provincial Science and Technology Programme (2020H0006)
As there exist a variety of factors influencing aeroengine maintenance quality and cost, very few research focuses on maintenance optimization under specific scenarios of aeroengine maintenance enterprises. In order to clarify the relationship between the factors affecting aeroengine maintenance and meet the demandings of enterprises, maintenance, repair and operation (MRO) process is systematically modeled in this research, which mainly includes five parts: main body of procedure, flight time statistics, human resources, performance evaluation and maintenance cost. Two practical application scenarios of enterprise including human resource quality control and performance oriented were investigated by using the principle of system dynamics and grey wolf optimizer assisted by Vensim, MATLAB and other analysis software, which reveals the importance of human resource quality, employee satisfaction and planned maintenance. In consideration of the actual impact of various factors on aeroengine maintenance, the results show that the proposed modeling and optimization method is feasible and effective.