Modeling of Aircrew Rostering Problem with Fatigue Risk Management Approach

IF 1 4区 心理学 Q4 PSYCHOLOGY, APPLIED
Burcu Şahinkaya, H. Oktal
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Abstract

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.
基于疲劳风险管理方法的机组人员值勤问题建模
摘要目的:本研究结合疲劳因素对机组人员排班问题进行评估。背景:在为机组人员排班问题开发的数学模型中,机组人员的疲劳程度仅在民航当局规定的飞行和值班时间限制范围内进行评估。在这项研究中,开发了一个新的模型,将飞行腿数、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人员排班问题中。方法:建立了机组排班问题的线性数学规划模型。模型的求解采用了广义代数建模系统(GAMS)。通过使用土耳其航空公司的每周和每月真实飞行数据,解决了这一问题,并检查了疲劳风险因素对机组人员排班问题的影响。获得的结果用甘特图表示。结果:尽管所获得的结果在民航部门规定的飞行和值班时间范围内,但考虑到疲劳风险因素,发现许多飞行任务超过了限制。结论:该模型可用于最大限度地减少人为误差,预测各种工作中的疲劳风险,提高生产效率和安全性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
2.80
自引率
7.70%
发文量
0
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