摘要
随着航空公司机队规模的不断扩大,系统有规划地进行飞机性能选型和根据不同的航线市场需求进行机型匹配是相当重要的。根据航空公司性能选型要求、民航规章和航空公司航线运营分析报告,建立了以飞机性能优劣度为顶层目标的性能选型指标体系,分为4个一级指标,19个二级指标,使用层次分析法得到主观权重,利用熵权法得到客观权重,通过组合赋权法将主观权重和客观权重结合,得到组合权重,权重大小排序靠前的为推重比、直接运行成本、单发小时耗油量、座公里成本、单发推力。然后基于灰色关联-TOPSIS法建立飞机性能选型评估模型,选取四种典型机型进行综合评价,得到各个机型的贴近度和排名情况,从而得出了民用飞机性能选型评估方法,为航空公司选购新型飞机时提供理论依据。
With the continuous expansion of airline fleet,it is very important to systematically select aircraft performance and perform model matching according to different market demands and route demands.According to airline performance selection requirements,civil aviation regulations and airline route operation analysis reports,a performance selection index system with the performance priority of aircraft as the top target was established,and it was divided into 4 primary indicators and 19 secondary indicators.The subjective weight was obtained by using analytic hierarchy process,the objective weight was obtained by using the entropy weight method,and the combination weight was obtained by combining subjective weight with objective weight through combination weight method.The top order of weight is thrust weight ratio,direct operation cost,fuel consumption per engine hour,seat kilometer cost and single engine thrust.Then,based on the grey correlation TOPSIS method,an evaluation model for aircraft performance selection was established.Four typical models were selected for comprehensive evaluation,and proximity and ranking of each model were obtained.Therefore,an evaluation method for civil aircraft performance selection was obtained,which provides a theoretical basis for airlines to choose and purchase new aircraft.
作者
褚双磊
魏志强
任强
刘菲
CHU Shuanglei;WEI Zhiqiang;REN Qiang;LIU Fei(Civil Aviation University of China,Tianjin 300300,China)
出处
《民用飞机设计与研究》
2023年第1期22-30,共9页
Civil Aircraft Design & Research
基金
U1933103国家自然科学基金
20185567018航空科学基金
MJ-2014-Y-65,MJ-2016-J-91,MJ-2018-Y-60工业和信息化部民用飞机专项科研项目
3122014C021中央高校基本科研业务费项目。
关键词
民用飞机
性能选型
熵权法
灰色关联-TOPSIS法
综合评价模型
civil aircraft
performance selection
entropy weight method
grey correlation TOPSIS method
comprehensive evaluation model