Exchange problem optimization between aeroengines with multiple modules and life-limited parts

The exchange problem of modules and life-limited parts when two aeroengines are sent for the shop visit at the same time is studied. Taking the lowest total loss cost of modules maintenance and life-limited parts replacement as the optimization objective, this paper establishes a single-aeroengine opportunistic maintenance model. A heuristic search algorithm based on two reduction rules is used to improve search efficiency. The genetic algorithm is used to solve the problem that the solution space of the exchange problem is too large. Finally, numerical experiments and application cases are used to prove the efficiency of the algorithm. The results show that the exchange algorithm proposed in this paper can calculate the exchange scheme to reduce the loss cost of two aeroengines in a short time and the optimization rate is about 18%.