基于航空公司损失的不正常航班恢复研究  

Irregular flight recovery based on loss of airline

作　　者：戴福青[1] 张舜尧 DAI Fuqing;ZHANG Shunyao(College of Air Traffic Management,CAUC,Tianjin 300300,China)

机构地区：[1]中国民航大学空中交通管理学院,天津300300

出　　处：《中国民航大学学报》2021年第2期26-30,共5页Journal of Civil Aviation University of China

基　　金：国家自然科学基金项目(61571441,U1333116);国家重点研发计划项目(2016YFB0502405)。

摘　　要：为解决由天气、流量控制、机务维修和旅客等因素导致的航班不正常问题,构建了以航空公司直接损失和间接损失之和最小为目标函数的航班恢复模型;细分了不同舱位的旅客由于航班延误产生的失望情绪对航空公司的未来客票销售产生的影响;将经济学中机会成本的概念应用于模型中,使损失种类的计算更加完善;最后设计了一种动态决策算法对模型求解。实例研究结果表明,通过该算法可将不正常航班损失降为原来的44%,证明该算法在解决航班恢复问题时具有一定的优越性。In order to solve the irregular flights caused by weather,flow control,engineering maintenance and passenger factors,a flight recovery model is built with the objective function of minimizing the sum of direct and indirect loss of airlines.The impact of passengers disappointment in different cabins caused by flight delay on the future ticket sales of airlines is categorized.The concept of opportunity cost is applied into the model in order to improve the calculation of loss types.A dynamic decision algorithm is designed to find the solution to the model,and the case study result shows that the irregular loss of flights can be reduced to 44%by this algorithm,proving the advantages of this algorithm in solving flight recovery problems.

关 键 词：航空运输 不正常航班 航空公司损失 动态决策算法 航班恢复 

分 类 号：V355.2[航空宇航科学与技术—人机与环境工程] F562.5[经济管理—产业经济]