Proposed Data-Driven Approach for Occupational Risk Management of Aircrew Fatigue

Background: Fatigue is pervasive, under-reported, and potentially deadly where flight operations are concerned. The aviation industry appears to lack a standardized, practical, and easily replicable protocol for fatigue risk assessment which can be consistently applied across operators. Aim: Our pap...

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Autores principales: Benjamin Zhi Qiang Seah, Wee Hoe Gan, Sheau Hwa Wong, Mei Ann Lim, Poh Hui Goh, Jarnail Singh, David Soo Quee Koh
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Lenguaje:EN
Publicado: Elsevier 2021
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Acceso en línea:https://doaj.org/article/16abbc27c6134fbc85e0c6fb6e228d0f
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spelling oai:doaj.org-article:16abbc27c6134fbc85e0c6fb6e228d0f2021-11-30T04:15:32ZProposed Data-Driven Approach for Occupational Risk Management of Aircrew Fatigue2093-791110.1016/j.shaw.2021.06.002https://doaj.org/article/16abbc27c6134fbc85e0c6fb6e228d0f2021-12-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S2093791121000524https://doaj.org/toc/2093-7911Background: Fatigue is pervasive, under-reported, and potentially deadly where flight operations are concerned. The aviation industry appears to lack a standardized, practical, and easily replicable protocol for fatigue risk assessment which can be consistently applied across operators. Aim: Our paper sought to present a framework, supported by real-world data with subjective and objective parameters, to monitor aircrew fatigue and performance, and to determine the safe crew configuration for commercial airline operations. Methods: Our protocol identified risk factors for fatigue-induced performance degradation as triggers for fatigue risk and performance assessment. Using both subjective and objective measurements of sleep, fatigue, and performance in the form of instruments such as the Karolinska Sleepiness Scale, Samn-Perelli Crew Status Check, Psychomotor Vigilance Task, sleep logs, and a wearable actigraph for sleep log correlation and sleep duration and quality charting, a workflow flagging fatigue-prone flight operations for risk mitigation was developed and trialed. Results: In an operational study aimed at occupational assessment of fatigue and performance in airline pilots on a three-men crew versus a four-men crew for a long-haul flight, we affirmed the technical feasibility of our proposed framework and approach, the validity of the battery of assessment instruments, and the meaningful interpretation of fatigue and work performance indicators to enable the formulation of safe work recommendations. Conclusion: A standardized occupational assessment protocol like ours is useful to achieve consistency and objectivity in the occupational assessment of fatigue and work performance.Benjamin Zhi Qiang SeahWee Hoe GanSheau Hwa WongMei Ann LimPoh Hui GohJarnail SinghDavid Soo Quee KohElsevierarticleAviationData drivenFatigue risk managementPerformance-based regulatory approachStandardized protocolPublic aspects of medicineRA1-1270ENSafety and Health at Work, Vol 12, Iss 4, Pp 462-470 (2021)
institution DOAJ
collection DOAJ
language EN
topic Aviation
Data driven
Fatigue risk management
Performance-based regulatory approach
Standardized protocol
Public aspects of medicine
RA1-1270
spellingShingle Aviation
Data driven
Fatigue risk management
Performance-based regulatory approach
Standardized protocol
Public aspects of medicine
RA1-1270
Benjamin Zhi Qiang Seah
Wee Hoe Gan
Sheau Hwa Wong
Mei Ann Lim
Poh Hui Goh
Jarnail Singh
David Soo Quee Koh
Proposed Data-Driven Approach for Occupational Risk Management of Aircrew Fatigue
description Background: Fatigue is pervasive, under-reported, and potentially deadly where flight operations are concerned. The aviation industry appears to lack a standardized, practical, and easily replicable protocol for fatigue risk assessment which can be consistently applied across operators. Aim: Our paper sought to present a framework, supported by real-world data with subjective and objective parameters, to monitor aircrew fatigue and performance, and to determine the safe crew configuration for commercial airline operations. Methods: Our protocol identified risk factors for fatigue-induced performance degradation as triggers for fatigue risk and performance assessment. Using both subjective and objective measurements of sleep, fatigue, and performance in the form of instruments such as the Karolinska Sleepiness Scale, Samn-Perelli Crew Status Check, Psychomotor Vigilance Task, sleep logs, and a wearable actigraph for sleep log correlation and sleep duration and quality charting, a workflow flagging fatigue-prone flight operations for risk mitigation was developed and trialed. Results: In an operational study aimed at occupational assessment of fatigue and performance in airline pilots on a three-men crew versus a four-men crew for a long-haul flight, we affirmed the technical feasibility of our proposed framework and approach, the validity of the battery of assessment instruments, and the meaningful interpretation of fatigue and work performance indicators to enable the formulation of safe work recommendations. Conclusion: A standardized occupational assessment protocol like ours is useful to achieve consistency and objectivity in the occupational assessment of fatigue and work performance.
format article
author Benjamin Zhi Qiang Seah
Wee Hoe Gan
Sheau Hwa Wong
Mei Ann Lim
Poh Hui Goh
Jarnail Singh
David Soo Quee Koh
author_facet Benjamin Zhi Qiang Seah
Wee Hoe Gan
Sheau Hwa Wong
Mei Ann Lim
Poh Hui Goh
Jarnail Singh
David Soo Quee Koh
author_sort Benjamin Zhi Qiang Seah
title Proposed Data-Driven Approach for Occupational Risk Management of Aircrew Fatigue
title_short Proposed Data-Driven Approach for Occupational Risk Management of Aircrew Fatigue
title_full Proposed Data-Driven Approach for Occupational Risk Management of Aircrew Fatigue
title_fullStr Proposed Data-Driven Approach for Occupational Risk Management of Aircrew Fatigue
title_full_unstemmed Proposed Data-Driven Approach for Occupational Risk Management of Aircrew Fatigue
title_sort proposed data-driven approach for occupational risk management of aircrew fatigue
publisher Elsevier
publishDate 2021
url https://doaj.org/article/16abbc27c6134fbc85e0c6fb6e228d0f
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