TY - GEN
T1 - Long-Term Maintenance Plan for the Aero-Engine Fleet under Uncertain Conditions
AU - Song, Youran
AU - Wang, Yanchao
AU - Bai, Zhengfeng
AU - Fu, Xuyun
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - Aero-engine fleet long-Term maintenance plan has been one of the important means for airlines to reduce the operation and maintenance cost of the whole fleet and realize the balance of engine delivery and repair. This paper improves the aero-engine fleet long-Term maintenance plan under deterministic conditions, proposes an optimization method for aero-engine fleet long-Term plan under uncertain conditions, and solves the problem that aero-engine fleet long-Term plan under deterministic conditions is difficult to be applied in practical situations. After establishing the optimization model, the IBI (Incomprehensible but Intelligible-in-Time logics) solution model is used to improve the efficiency of solving the optimal value, and reduce the total number of missing days and the total number of wasted days. Sixteen sets of comparative tests verified that the fleet maintenance schedule model under the uncertainty condition outperformed the deterministic condition in terms of the number of missing days and the number of wasted days. The absolute errors of the optimal values and equilibrium indices solved under the uncertainty condition were within acceptable limits.
AB - Aero-engine fleet long-Term maintenance plan has been one of the important means for airlines to reduce the operation and maintenance cost of the whole fleet and realize the balance of engine delivery and repair. This paper improves the aero-engine fleet long-Term maintenance plan under deterministic conditions, proposes an optimization method for aero-engine fleet long-Term plan under uncertain conditions, and solves the problem that aero-engine fleet long-Term plan under deterministic conditions is difficult to be applied in practical situations. After establishing the optimization model, the IBI (Incomprehensible but Intelligible-in-Time logics) solution model is used to improve the efficiency of solving the optimal value, and reduce the total number of missing days and the total number of wasted days. Sixteen sets of comparative tests verified that the fleet maintenance schedule model under the uncertainty condition outperformed the deterministic condition in terms of the number of missing days and the number of wasted days. The absolute errors of the optimal values and equilibrium indices solved under the uncertainty condition were within acceptable limits.
KW - fleet maintenance schedule
KW - triangular fuzzy number
KW - uncertainty conditions
UR - https://www.scopus.com/pages/publications/85189143705
U2 - 10.1109/EIECC60864.2023.10456706
DO - 10.1109/EIECC60864.2023.10456706
M3 - 会议稿件
AN - SCOPUS:85189143705
T3 - 2023 3rd International Conference on Electronic Information Engineering and Computer Communication, EIECC 2023
SP - 338
EP - 343
BT - 2023 3rd International Conference on Electronic Information Engineering and Computer Communication, EIECC 2023
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 3rd International Conference on Electronic Information Engineering and Computer Communication, EIECC 2023
Y2 - 22 December 2023 through 24 December 2023
ER -