多机种大机群再次出动保障资源配置仿真与优化

Simulation and Optimization of Support Resource Allocation for Multi-Aircraft Large Fleet re Dispatch

针对多机种大机群再次出动保障资源组合配置复杂问题,在考虑不同机型、不同保障期望值时间和不同主体资源类型新增复杂因素基础上,建立基于排队网络的多机种保障过程仿真模型,提出了实现保障资源配置优化的仿真算法,该算法以机群保障总时间、飞机平均保障时间、机群保障的平均强度、资源代价、保障忙闲均衡和资源供需均衡为优化目标,以服务节点的机群平均等待时间大小作为资源增减依据,对多机种大机群保障资源数量进行仿真测算和组合优化。通过仿真分析,结果表明:资源通用性是影响多机种保障效率和保障资源优化配置结果的关键要素。

In view of the complex combination of support resources of multi-aircraft large fleet re dispatch, based on the new complex factors of different models, different support expectation time and different main resource types, the simulation model of multi-aircraft support process based on queuing network is established and a simulation algorithm for the optimal allocation of support resources is proposed. The algorithm takes the total time of fleet support, the average time of aircraft support, the average intensity of fleet support, the cost of resources, the balance of free and busy support, the balance of resource supply and demand as the optimization objectives, takes the average waiting time of the fleet of service nodes as the basis for resource increase and decrease, carries out simulation calculation and combination optimization for the number of support resources of multi-aircraft large fleet. The simulation results show the commonality of resources is the key factor that affects the efficiency of multi-aircraft support and the result of optimal allocation of support resources.