基于飞机状态的备件动态规划技术

Civil aircraft spare parts affect flight safety and the cost of spare parts accounts for the highest proportion of airlines' controllable costs. It is significant to make spare parts planning on the premise of ensuring flight safety. A spare parts quantity model is built based on the Markov birth and death process. Supply rates for spare parts are determined according to the spare parts' security level and repair time limit. A spare parts dynamic programming model is established aiming at minimum cost while meeting a certain supply rate. Based on aircraft status, the effect of historical failure data, seasonality, daily utilization rate, and fleet size on spare parts coverage was examined. To reduce the discrepancy between the proposed model’s calculated results and the actual demand, the seasonal differences in failure rate, daily utilization rate, and seasonal differences in aircraft parking losses were evaluated. The proposed model is verified by the example of the ERJ-190 Display Unit. Results are consistent with the actual operation of the airline, which proves that the proposed model can provide technical support for spare parts planning.