Simulation and Optimization of Support Processes for Aircraft Fleet Launch Under Limited Resources

doi:10.16182/j.issn1004731x.joss.25-0374

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.

Key words: fleet support, limited resource, support simulation, scheduling optimization, genetic algorithm

CLC Number:

TP391.9

Gong Feng, Jiang Tao, Zhang Qin, Liu Yu. Simulation and Optimization of Support Processes for Aircraft Fleet Launch Under Limited Resources[J]. Journal of System Simulation, 2025, 37(8): 1965-1977.

Figures/Tables 12

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保障活动	资源需求
F1	机械人员2人、航电人员1人、电源车1辆
F2	机械人员2人、航电人员1人、电源车1辆、机电类检测仪1台
F3	机械人员1人、武器人员1人、电源车1辆、武器系统检测仪1台
F4	机械人员2人、特种人员1人、机电类检测仪1台
F5	机械人员1人、航电人员2人、特种人员1人、航电类检测仪1台
F6	机械人员1人、航电人员1人、电源车1辆、加油车1辆
F7	机械人员2人、武器人员2人、挂弹车1辆、武器系统检测仪1台
F8	机械人员1人、航电人员1人、特种人员1人

飞机数量	遗传算法	模拟退火算法	禁忌搜索算法
1	17.0	17.0	17.0
2	17.0	23.8	17.8
3	24.5	27.0	27.6
4	30.0	36.5	34.7
5	36.5	40.6	42.9
6	42.5	—	44.6
7	48.5	—	—