@article{WANG2026, 
author = {Yiqiang WANG and Xin YANG},
title = {Improvement of economical level of repair analysis model with multi-indenture and multi-echelon for civil aircraft},
year = {2026},
journal = {Journal of Beijing University of Aeronautics and Astronautics},
volume = {52},
number = {7},
pages = {2260-2268},
keywords = {level of repair analysis, civil aircraft maintenance, economical analysis, maintenance cost, 0-1 pure integer programming},
url = {https://www.sciopen.com/article/10.13700/j.bh.1001-5965.2024.0359},
doi = {10.13700/j.bh.1001-5965.2024.0359},
abstract = {The multi-indenture characteristics of civil aircraft components and the multi-echelon maintenance levels in the actual repair sites are the key factors in the analysis of civil aircraft maintenance support. Therefore, level of repair analysis is an important component in carrying out civil aircraft operation support activities. Existing economic models for level of repair analysis have the problem of repeated accumulation of costs between upper-level parent components and their subordinate child components when making decisions on discarded or moved items. In this paper, the constraint relationship between parent and child parts is studied, and the total cost data preprocessing, matrix is introduced to solve the problem of repeated accumulation of costs of parent and child parts. Based on the cost data preprocessing matrix the constraints are simplified and improved, and the exact algorithm of the LINGO18.0 software is used to model and solve the problem. The findings demonstrate that, in comparison to heuristics and other approximate algorithms, the model and its solution algorithms suggested in this paper can support decision-making for the development of the maintenance design and support of the civil aircraft. Whether it is a two-indenture and two-echelon model or a three-indenture and three-echelon model, the global optimal solution can be obtained in a shorter amount of time, and the maintenance decision-making cost can be reduced by 37.9% and 27.8% separately.}
}