Joint Optimization of Level of Repair Analysis and Civil Aircraft Inventory System Based on PSO Algorithm

The traditional optimization approach for the level of repair analysis (LORA) of civil aircraft and inventory system allocation is to optimize repair level and spare parts allocation separately. But the joint cost of maintenance and inventory allocation policy will not be the necessarily optimal, due to the fact that the direct effect on the inventory system is neglected in the LORA process. Thus, in this paper, a joint optimization model for LORA and civil aircraft inventory system is constructed with the system total cost as the objective function and the fleet availability as the constraint. Next, the particle swarm optimization (PSO) algorithm is applied to solve the proposed multivariable nonlinear optimization model. Finally, some components of the landing gear system are selected as the examples, and through the comparison with the results from traditional sequence method and iterative algorithm, the proposed method is validated to be feasible and effective.