ABSTRACT

Objective: In this study, a new selection method for airline pilot candidates is developed.

Background: In a large majority of previous studies, parametric statistical classification methods have been commonly used for the pilot candidate selection process. These kind of methods require a representative sample with sufficient numbers of good and poor candidates to minimize the standard error associated with the regression weights and to ensure prediction accuracy. In this study, a new pilot candidate selection method has been developed, which can also be used in cases where there are not enough candidates or there is not a significant relationship between predictors.

Method: The model was developed by using an analytic hierarchy process technique. A survey was conducted with airline pilots working at Turkish air carriers to determine the weights of the selection criteria considered in the model. The minimum success score of each criterion was obtained from the survey results. The analyzes are carried out using the Super Decisions program.

Results: We found that the most important factor among the pilot candidate selection criteria is psychomotor coordination and operational abilities with a coefficient of 0.37306.

Conclusion: The survey results revealed the importance of flight abilities and personality traits for pilots and it also found that lack of motivation is the most important problem among new airline pilots.

摘要

目的：在这项研究中，开发了一种新的航空公司飞行员候选人甄选方法。

背景：在大多数先前的研究中，参数统计分类方法已普遍用于试验性候选人的选择过程。这类方法需要具有足够数量的好坏候选者的代表性样本，以最小化与回归权重相关的标准误并确保预测准确性。在这项研究中，已经开发了一种新的试验性候选物选择方法，该方法也可以用于没有足够候选物或预测变量之间没有显着关系的情况。

方法：该模型是使用层次分析法开发的。对土耳其航空运营商的航空公司飞行员进行了一项调查，以确定模型中考虑的选择标准的权重。从调查结果中获得每个标准的最低成功分数。使用超级决策程序进行分析。

结果：我们发现，在飞行员候选人选择标准中，最重要的因素是心理运动协调和操作能力，系数为0.37306。

结论：调查结果揭示了飞行员的飞行能力和人格特质的重要性，并且发现缺乏动力是新航空公司飞行员中最重要的问题。