E3S Web Conf.
Volume 409, 2023International Conference on Management Science and Engineering Management (ICMSEM 2023)
|Number of page(s)||12|
|Published online||01 August 2023|
An Optimization of Airline Scheduling Systems Based on a New Airline Pilots’ Fatigue Assessment Algorithm
1 Business School, Sichuan University, Chengdu 610065, People’s Republic of China
2 Pittsburgh Institute, Sichuan University, Chengdu 610065, People’s Republic of China
3 College of Computer science, Sichuan University, Chengdu 610065, People’s Republic of China
4 Queen Mary University London, School of Physical and chemical sciences, Mile End Road, London, E1 4NS, United Kingdom
* e-mail: firstname.lastname@example.org
Flight safety reports from different sources indicate that the proportion of accidents caused by flight fatigue accounts for 6-11% of all types of flight accidents. Current regulations in the civil aviation industry across the world generally emphasize the length of working hours rather than the influences of circadian rhythm disorders. Based on an analysis of the flight mission data of 567 pilots in 2019, which highlighted the associations between circadian rhythm disorders and flight fatigue, we have proposed a new algorithm to reflect pilots’ fatigue status to include five main indicators: actual working hours, circadian rhythm disorders, work rhythm disorder, altitude flight hours and flight crew composition. The results assessed by the new algorithm reported that about 70% of the airline pilots studied were under the threat of a high risk of fatigue in 2019. Subsequently, this research suggests the use of two algorithms to optimize pilot scheduling systems, and findings show that the percentage of pilots with a high level of fatigue can be largely reduced.
Key words: Airline pilots / Circadian rhythm disorder / Fatigue load / Scheduling algorithm
© The Authors, published by EDP Sciences, 2023
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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