Kiracı Kasım, Akan Ercan
Iskenderun Technical University, Faculty of Aeronautics and Astronautics, Department of Aviation Management Central Campus, 31200, Iskenderun, Hatay, Turkey.
Iskenderun Technical University, Barbaros Hayrettin Naval Architecture and Maritime Faculty, Maritime Transportation Management Engineering, Central Campus, 31200, Iskenderun, Hatay, Turkey.
J Air Transp Manag. 2020 Oct;89:101924. doi: 10.1016/j.jairtraman.2020.101924. Epub 2020 Sep 23.
The selection of the appropriate aircraft can bring competitive advantages to airlines, however, there are a number of factors which introduce a degree of uncertainty to the selection process. By removing this uncertainty, airlines can increase their chances of achieving their long-term goals. New Multi-Criteria Decision Making (MCDM) methods provide decision-makers with a satisfactory solution for choosing suitable aircraft. Therefore, we focused on the multi-dimensional evaluation and selection of the most suitable commercial aircraft alternatives by using new MCDM method. This article provides decision support to airline planners on the selection of commercial aircraft under uncertainty. In the study, unlike other studies in the literature on aircraft selection, the model presented here uses an Interval Type-2 Fuzzy Analytical Hierarch Process (IT2FAHP) and Interval Type-2 Fuzzy Technique for Order Preference by Similarity to an Ideal Solution (IT2FTOPSIS) hybrid methods. The proposed model for aircraft selection allows commercial airlines to evaluate the aircraft in terms of specific criteria: economic performance, technical performance, and environmental impact, and, as a result, it helps decision makers select appropriate aircraft in an uncertain environment. In addition to use by commercial airlines, the methods in the study can also be applied to the selection of training aircraft, cargo aircraft and military aircraft. Our findings show that the Airbus A321neo is the most suitable commercial aircraft in terms of technical aspects, economic aspects and environmental aspects for airlines.
选择合适的飞机可以为航空公司带来竞争优势，然而，有许多因素给选择过程带来了一定程度的不确定性。消除这种不确定性，航空公司就能增加实现其长期目标的机会。新的多准则决策（MCDM）方法为决策者提供了选择合适飞机的满意解决方案。因此，我们专注于通过使用新的MCDM方法对最合适的商用飞机备选方案进行多维度评估和选择。本文为航空公司规划者在不确定情况下选择商用飞机提供决策支持。在这项研究中，与文献中其他关于飞机选择的研究不同，这里提出的模型使用区间二型模糊层次分析法（IT2FAHP）和区间二型模糊理想解法排序技术（IT2FTOPSIS）的混合方法。所提出的飞机选择模型使商业航空公司能够根据特定标准评估飞机：经济性能、技术性能和环境影响，结果，它有助于决策者在不确定环境中选择合适的飞机。除了商业航空公司使用外，该研究中的方法还可应用于训练飞机、货运飞机和军用飞机的选择。我们的研究结果表明，就技术、经济和环境方面而言，空客A321neo是航空公司最合适的商用飞机。
