多机种飞行保障装备配置数量需求预测

Demand Forecast of Multi-aircraft Flight Support Equipment Configuration

为多机种飞行保障计划提供合理的装备配置数量方案,构建了多机种飞行保障装备配置数量预测求解模型。基于排队理论将飞行保障抽象为飞机排队,考虑机型不同、保障活动期望时间不同、保障流程不同和装备型号不同因素,以机群总体保障时间、飞机平均保障时间、机群保障的平均强度、保障装备代价、保障忙闲均衡和保障装备供需均衡为优化目标,建立多机种飞行保障装备数量预测模型;以缩短机群保障工序等待时间作为装备数量增减依据设计相应解算算法,根据条件自动筛选出一个或几个装备配置数量近优方案。通过算例分析验证了该模型和算法的有效性,为多机种保障装备配置数量预测问题求解提供了一种途径。

s flight support into aircraft queuing based on queuing theory,which considers different models,different support activities,expected time,different support processes,and different equipment models.To optimize the total support time of the fleet,the average support time of the aircraft,the average strength of the support of the fleet,the cost of the support equipment,the balance of busy and idle time,and the balance of supply and demand of equipment,it establishes a multi-model flight support equipment quantity prediction model.Then,based on shortening the waiting time of the fleet support process as the increase or decrease of the number of equipment,a corresponding calculation algorithm is designed,and one or several near-optimal solutions are automatically selected according to the conditions.Finally,the validity of the model and algorithm is verified by a case study,which provides a way to solve the problem of predicting the number of multi-aircraft support equipment configurations.