ABSTRACT

Objective: In this study, the aircrew rostering problem is evaluated in conjunction with fatigue factors.

Background: In the mathematical models developed for crew rostering problems, the fatigue level of aircrew members is evaluated only within the scope of the flight and duty time limitations defined by the civil aviation authorities. In this study, a new model is developed in which the fatigue risk factors such as the number of flight legs, additional workload, circadian rhythm, and consecutive flights are added to the crew rostering problem.

Method: A linear mathematical programming model was developed for the aircrew rostering problem. The General Algebraic Modeling System (GAMS) is used in the solution of the model. The problem is solved and the effects of the fatigue risk factors on crew rostering problems are examined by using the weekly and monthly real flight data of a Turkish air carrier. The results obtained are demonstrated in Gantt charts.

Results: Although the results obtained are within the limits of flight and duty time defined by civil aviation authorities, it is found that many flight duties exceed the limits considering the fatigue risk factors.

Conclusion: The model proposed can be used to minimize human error, predict the fatigue risk in various duties, and increase productivity and safety.

摘要

目的：在这项研究中，机组人员排班问题是结合疲劳因素进行评估的。

背景：在针对机组排班问题开发的数学模型中，机组成员的疲劳程度仅在民航当局规定的飞行和值勤时间限制范围内进行评估。在这项研究中，开发了一种新模型，其中将飞行航段数量、额外工作量、昼夜节律和连续飞行等疲劳风险因素添加到机组排班问题中。

方法：为机组人员排班问题开发了一个线性数学规划模型。通用代数建模系统（GAMS）用于模型的求解。该问题得到解决，并通过使用土耳其航空公司每周和每月的真实飞行数据研究疲劳风险因素对机组排班问题的影响。获得的结果显示在甘特图中。

结果：虽然获得的结果在民航当局规定的飞行和值勤时间的限制内，但发现考虑到疲劳风险因素，许多飞行任务超过了限制。

结论：所提出的模型可用于最大限度地减少人为错误，预测各种职责中的疲劳风险，并提高生产力和安全性。