Journal of System Simulation
Abstract
Abstract: To address the scheduling problem of aircraft fleet support processes under limited resources, a fleet support process optimization model that covered multiple aircraft, activities, and resource constraints was developed. An activity node graph model was used to establish the temporal logic, resource competition, and other constraints in the fleet support process, forming a "time – activity – resource" multidimensional optimization model. A genetic algorithm based on priority encoding was proposed, incorporating a serial decoding strategy and a dynamic penalty function to handle the complex constraints in the model, efficiently solving the optimization problem under complicated temporal and resource constraints. A fleet support process simulation model was developed, and a discrete event simulation was performed to verify the effectiveness and adaptability of the optimized solutions. Simulation results demonstrate that the proposed method significantly reduces the fleet support time and improves the utilization efficiency of limited resources.
Recommended Citation
Gong, Feng; Jiang, Tao; Zhang, Qin; and Liu, Yu
(2025)
"Simulation and Optimization of Support Processes for Aircraft Fleet Launch Under Limited Resources,"
Journal of System Simulation: Vol. 37:
Iss.
8, Article 6.
DOI: 10.16182/j.issn1004731x.joss.25-0374
Available at:
https://dc-china-simulation.researchcommons.org/journal/vol37/iss8/6
First Page
1965
Last Page
1977
CLC
TP391.9
Recommended Citation
Gong Feng, Jiang Tao, Zhang Qin, et al. Simulation and Optimization of Support Processes for Aircraft Fleet Launch Under Limited Resources[J]. Journal of System Simulation, 2025, 37(8): 1965-1977.
DOI
10.16182/j.issn1004731x.joss.25-0374
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