Open AccessJoint Optimization of Level of Repair Analysis and Civil Aircraft Inventory System Based on PSO Algorithm
Author(s) -
Yuchang Liu,
Yong Feng,
Xiangdong Xue,
Cheng Lu
Publication year - 2019
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.179
H-Index - 26
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/538/1/012061
Subject(s) - particle swarm optimization , spare part , mathematical optimization , computer science , joint (building) , process (computing) , penalty method , constraint (computer aided design) , algorithm , engineering , mathematics , operations management , architectural engineering , mechanical engineering , operating system
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.