摘要
航班发生延误时,需要采取有效恢复措施降低航空公司的经济和信誉损失.本文利用现有飞机资源,对飞机和乘客进行合理的调度安排问题建立了飞机和乘客恢复混合整数规划模型.模型考虑了乘客的航班取消成本、航班延误成本、座舱降级成本、飞机的非正常降落位置的惩罚成本及飞机飞行成本等,以使航班恢复成本最小化为目标.对航班恢复成本进行细分,更接近航空公司在进行航班恢复时的实际情况.使用法国某航空公司真实航班数据作为算例,以验证模型的有效性和实用性.算例显示优化模型相对于航班取消方案和航班顺延方案分别使恢复成本降低了21.05%和21.46%.因此,模型能有效地解决航班航空公司飞机和乘客恢复问题,提高航空公司竞争力.
When flight delay occurred, it will bring huge economic and reputation losses to airlines if effective measures are not performed by managers to deal with it. The mathematical model established in this article mainly aims at making full use of the existing aircraft resources and performing reasonable scheduling of aircrafts and passengers when flight delay occurred. The objective function focuses on minimizing recovery cost which included cost of flights cancellation, flights delay, Seat degradation of passengers, penalty for wrong locations and aircrafts. The recovery cost was subdivided to make it closer to the real situation. Real flight data of a French airline as an example was used to verify the validity and practicability of the model. The example shows that the optimization model with respect to the cancellation scheme of flights and postponement scheme of flights costs were reduced by 21.05% and 21.46% respectively. Therefore, the model is able to effectively solve aircraft and passengers recovery problem and improve the competitiveness of airlines.
出处
《华中师范大学学报(自然科学版)》
CAS
北大核心
2015年第6期876-882,共7页
Journal of Central China Normal University:Natural Sciences
基金
上海市科委项目(11510501900)
关键词
航空运输
航班延误
混合整数规划
航班和乘客恢复
air transport
flight delay
mixed integer programming
flight and passenger recovery