非正常航班成本分析及优化
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摘要
为了迅速解决非正常航班延误问题,提高签派员工作效率,最优化配置有限资源,在数学规划理论基础上,以延误成本最小为目标,建立规划模型,利用72小时可用航班及新开航班结合的方式实施航班恢复。借助LINGO软件对目标航班延误数据求解,结果显示该目标航班恢复成本最小为113768元,多次试验证明,该模型针对非正常航班恢复问题便捷有效。
In order to quickly solve the problem of abnormal flight delay, improve the efficiency of visa and dispatch personnel, and optimize the allocation of limited resources. Based on the mathematical programming theory, aiming at minimizing the delay cost, establishes the planning model, and the 72-hour available flights and newly opened flights are combined to implement flight recovery. Lingo software is used to solve the delay data of the target flight, and the results show that the recovery cost of the target flight is at least 113,768 yuan. Multiple tests have proved that the model is convenient and effective for the abnormal flight recovery.
In order to quickly solve the problem of abnormal flight delay, improve the efficiency of visa and dispatch personnel, and optimize the allocation of limited resources. Based on the mathematical programming theory, aiming at minimizing the delay cost, establishes the planning model, and the 72-hour available flights and newly opened flights are combined to implement flight recovery. Lingo software is used to solve the delay data of the target flight, and the results show that the recovery cost of the target flight is at least 113,768 yuan. Multiple tests have proved that the model is convenient and effective for the abnormal flight recovery.
引文
[1]赵正佳.航空公司机组排班计划研究[J].运筹与管理,2011,20(6):106-113.
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[3]何昕,宫献鑫,王春政,等.枢纽机场航班延误恢复模型研究[J].科技和产业,2018,8,(18):124-127.
[4]田倩,李昆鹏,李文莉,等.受扰航班恢复问题的优化方案研究[J].管理学报,2018,15,(10):1081-1088.
[5]Jarrh A I Z,YU G,Krishnamurthy N,et al. A Decision Support Framework for Airline Flight Cancellations and Delays[J].Transportation Science,1993,27(3):266-280.
[6]赵秀丽,朱金福,郭梅.不正常航班延误调度模型及算法[J].系统工程理论与实践,2008,28(4):129-134.
[7]上官栋栋,曹杨,王志豪.应用遗传算法求解航班恢复问题[J].数学的实践与认识,2018,48(15):178-185.
[2]陈慧,魏轶华,胡奇英.基于竞争的航班座位分配问题研究[J].管理学报,2008,5(2):193-198.
[3]何昕,宫献鑫,王春政,等.枢纽机场航班延误恢复模型研究[J].科技和产业,2018,8,(18):124-127.
[4]田倩,李昆鹏,李文莉,等.受扰航班恢复问题的优化方案研究[J].管理学报,2018,15,(10):1081-1088.
[5]Jarrh A I Z,YU G,Krishnamurthy N,et al. A Decision Support Framework for Airline Flight Cancellations and Delays[J].Transportation Science,1993,27(3):266-280.
[6]赵秀丽,朱金福,郭梅.不正常航班延误调度模型及算法[J].系统工程理论与实践,2008,28(4):129-134.
[7]上官栋栋,曹杨,王志豪.应用遗传算法求解航班恢复问题[J].数学的实践与认识,2018,48(15):178-185.