【作者】 张潇；

【导师】 郑春东；

【作者基本信息】 天津大学 ， 工商管理， 2021， 硕士

【摘要】 随着中国民航业近些年快速发展,国内各航空公司机队规模不断扩大以及国内地面高铁网络的不断架设,加剧了航空公司与航空公司以及航空公司与高铁之间对客流的竞争,导致航空公司需要拓展新的运行基地以及优化现有运行基地运营,以寻求航空公司整体收益最大化。本文以GS航空运行基地运营优化为研究对象,以提升该公司不同运行基地运营效率与收益管理水平为目标,首先,分析GS航空运行基地现状问题,GS航空现有运行基地运营主要存在机队利用率低、运营决策不够客观、经停航班编排过多等问题。其次,为解决上述问题,建立航空运行基地运营优化模型。客流需求作为该模型的重要因素,通过建立BP神经网络模型,对客流需求进行预测,客流需求真实结果与预测结果相对比,平均误差水平为4%,模型预测效果较好。基于收益最大化目标构建航空运行基地运营优化模型,通过遗传算法,对运行基地运营优化模型进行计算,用十进制的编码方式对染色体进行编码,实例数据验证了模型的有效性,经遗传算法计算取得输出值的运行基地运营优化模型为最优方案,即得到GS航空不同运行基地不同航线所需机型,以及不同机型的航班频率,作为公司机队配置的决策依据。最后,以GS航空历史数据为基础,为GS航空运行基地运营效率及收益管理水平的提升,求解最优方案。随机选取一段时间内,GS航空运行基地经过模型运营优化后,公司总收益上涨6.17%,不同机型飞机利用率均有提升,平均飞行小时收入增长,说明该模型对GS航空运行基地的整体运营优化具有较好的实践指导作用。研究有利于了解GS航空运行基地运营问题,基于收益最大化的GS航空运行基地运营优化模型,为其运行基地运营的调整与优化提供决策依据,能够提升基地运营的智慧化水平以及运营质量与效率,继而提高公司收益管理能力。更多还原

【Abstract】 With the rapid development of China’s civil aviation industry in recent years,the continuous expansion of domestic airlines fleet and the continuous erection of domestic ground high-speed rail network have intensified the passenger flow competition between airlines and airlines,as well as between airlines and high-speed rail.As a result,airlines need to expand new operation bases and optimize the operation of existing operation bases,in order to maximize the overall revenue of airlines.In this thesis,GS airlines operation base operation optimization as the research object,in order to improve the company’s different operation base operation efficiency and revenue management level as the goal,first of all,the analysis of GS airlines operation base status problems,GS airlines existing operation base operation mainly exist in low fleet utilization,operation decision-making not enough objective,stop flight scheduling too many problems.Secondly,in order to solve the above problems,the operation optimization model of airlines operation base is established.Passenger demand is an important factor of the model.Through the establishment of BP neural network model,the passenger demand is predicted.Compared with the predicted results,the average error level of the real passenger demand is 4%.Based on the goal of revenue maximization,the operation optimization model of airlines operation base is constructed.The genetic algorithm is used to calculate the operation optimization model of airlines operation base.The chromosome is coded by decimal coding method.The example data verify the effectiveness of the model,the operation optimization model of GS airlines operation base with output value calculated by genetic algorithm is the optimal scheme,that is,the aircraft types required by different operation bases and routes of GS airlines and the flight frequency of different aircraft types are obtained,which can be used as the decision-making basis for the company’s fleet configuration.Finally,based on the historical data of GS airlines,the optimal scheme is solved to improve the operation efficiency and revenue management level of GS airlines operation base.Randomly selected for a period of time,GS airlines operation base after model operation optimization,the company’s total revenue increased by 6.17%,the utilization rate of different types of aircraft increased,and the average flight hour revenue increased,indicating that the model has a good practical guidance for the overall operation optimization of GS airlines operation base.The research is helpful to understand the operation problems of GS airlines operation base.The optimization model of GS airlines operation base based on revenue maximization provides decision-making basis for the adjustment and optimization of its operation base.It can improve the intelligent level of base operation,operation quality and efficiency,and then improve the company’s revenue management ability.更多还原