Aircraft selection process with technique for order preference by similarity to ideal solution and AHP integration

被引:0
|
作者
Yilmaz, Ayse Kucuk [1 ]
Malagas, Konstantinos [2 ]
Jawad, Muhammad [3 ]
Nikitakos, Nikitas [4 ]
机构
[1] Eskisehir Tech Univ, Dept Management & Strategy, Fac Aeronaut & Astronaut, 2 Eylul Campus, TR-26555 Tepebasi, Eskisehir, Turkey
[2] Univ Aegean, Dept Shipping Trade & Transport, Lab Informat & New Technol Shipping Transport & I, Mitilini, Greece
[3] Fatima Jinnah Women Univ, Rawalpindi, Pakistan
[4] Univ Aegean, Dept Shipping Trade & Transport, Mitilini, Greece
关键词
management and strategy; multi-criteria problem solving; risk analysis; decision making process; analytic hierarchy process; AHP; approved training organisations; ATOs; TOPSIS; aircraft selection; MULTICRITERIA DECISION-MAKING; TRAINING AIRCRAFT; FUZZY; MODEL;
D O I
暂无
中图分类号
V [航空、航天];
学科分类号
08 ; 0825 ;
摘要
Approved training organisations should invest the right amount of resources to make the appropriate aircraft selection decision. Elements in the strategic, economic and environmental categories and various risk criteria have the potential to affect directly or indirectly this selection decision and should consider. This research aimed to provide a criteria analysis to support the aircraft selection decision process for a flight school, examining the case of the Eskisehir Technical University Flight School. Concerning methodology, risk analysis with integrated of both analytic hierarchy process (AHP) and technique for order preference by similarity to ideal solution (TOPSIS) are used. number of experts (n = 16) participated in the study. Our analysis results show that, Cessna 172S Cessna/Reims-Cessna 172/F172 series aircraft types are the best alternative for the specific optimisation case. The current research both contribute to the aviation management and engineering literature and may help managers/instructors/supervisors from training organisations to identify ways to select the appropriate aircraft.
引用
收藏
页码:220 / 235
页数:16
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