Literature DB >> 23447854

Quantifying fatigue risk in model-based fatigue risk management.

Suresh Rangan1, Hans P A Van Dongen.   

Abstract

The question of what is a maximally acceptable level of fatigue risk is hotly debated in model-based fatigue risk management in commercial aviation and other transportation modes. A quantitative approach to addressing this issue, referred to by the Federal Aviation Administration with regard to its final rule for commercial aviation "Flightcrew Member Duty and Rest Requirements," is to compare predictions from a mathematical fatigue model against a fatigue threshold. While this accounts for duty time spent at elevated fatigue risk, it does not account for the degree of fatigue risk and may, therefore, result in misleading schedule assessments. We propose an alternative approach based on the first-order approximation that fatigue risk is proportional to both the duty time spent below the fatigue threshold and the distance of the fatigue predictions to the threshold--that is, the area under the curve (AUC). The AUC approach is straightforward to implement for schedule assessments in commercial aviation and also provides a useful fatigue metric for evaluating thousands of scheduling options in industrial schedule optimization tools.

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Year:  2013        PMID: 23447854     DOI: 10.3357/asem.3455.2013

Source DB:  PubMed          Journal:  Aviat Space Environ Med        ISSN: 0095-6562


  4 in total

1.  Dynamic circadian modulation in a biomathematical model for the effects of sleep and sleep loss on waking neurobehavioral performance.

Authors:  Peter McCauley; Leonid V Kalachev; Daniel J Mollicone; Siobhan Banks; David F Dinges; Hans P A Van Dongen
Journal:  Sleep       Date:  2013-12-01       Impact factor: 5.849

2.  Seasonal variation in fatigue indicators in Brazilian civil aviation crew rosters.

Authors:  Tulio Eduardo Rodrigues; Frida Marina Fischer; Eduardo Morteo Bastos; Luciano Baia; Raul Bocces; Fabiano Paes Gonçalves; Paulo Rogério Licati; Alfredo Menquini; Paulo Spyer; Eduardo Stefenon; André Frazão Helene
Journal:  Rev Bras Med Trab       Date:  2020-08-04

3.  Muscle activity, time to fatigue, and maximum task duration at different levels of production standard time.

Authors:  Nurhayati Mohd Nur; Siti Zawiah Md Dawal; Mahidzal Dahari; Junedah Sanusi
Journal:  J Phys Ther Sci       Date:  2015-07-22

Review 4.  Working Time Society consensus statements: Prescriptive rule sets and risk management-based approaches for the management of fatigue-related risk in working time arrangements.

Authors:  Kimberly A Honn; Hans P A VAN Dongen; Drew Dawson
Journal:  Ind Health       Date:  2019-01-31       Impact factor: 2.179

  4 in total

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