场站飞行后勤保障车辆调度仿真优化

Simulation-based optimization of support vehicle scheduling in flight logistic support process

为解决飞行后勤保障车辆调度这类NP难问题,在深入分析航空兵场站飞行后勤保障车辆调度过程活动规律的基础上,综合考虑飞行计划要求、场站保障车辆资源约束及飞行后勤保障条例规定3个因素,提出了基于事件调度/时间推进算法的场站飞行后勤保障车辆调度过程Arena仿真模型。针对以往对于该问题的研究过多注重过程的仿真缺乏仿真优化的问题,利用Arena内嵌的VBA技术,通过对VBAblock块编程,建立了基于禁忌搜索算法的上述仿真模型的优化控制系统。以某型飞机首次出动训练后勤保障任务为例,利用所建立的仿真优化模型,分别对估算法及仿真优化法制定的飞行后勤保障车辆调度计划的保障车辆调度过程进行了仿真。通过对仿真结果的对比分析,验证了所建仿真模型及仿真优化系统的科学性、合理性。

To deal with the NP hard problem of the support vehicle scheduling in flight logistic support process, rules of support vehicle scheduling process are analyzed deeply, and factors such as the requirements of flight plan, the constraints of support vehicle＇ s number and provision of flight logistic support byelaw are also taken into consideration. And the simulation model about support vehicle scheduling process in the flight logistic vehicle support process is constructed by using the algorithm of event scheduling in discrete event simulation. Secondly, aimed at the problems about lack of simulation optimization in the past research, by the VBA technology built-in the arena, the simulation-based optimization system of above-mentioned model is developed based on the Tabu search algorithm by programming to the VBA block modules. According to an example, the flight logistic support process of the method for anticipation and optimization are simulated by the erected models vehicles scheduling and optimization system are By comparing and analyzing the simulation results, the erected simulation model about proved both scientifically and effectively.