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Fatigue Risk Management: A Maritime Framework

Author

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  • Michelle Rita Grech

    (Australian Maritime Safety Authority, 82 Northbourne Avenue, Braddon ACT 2612, Australia)

Abstract

It is evident that despite efforts directed at mitigating the risk of fatigue through the adoption of hours of work and rest regulations and development of codes and guidelines, fatigue still remains a concern in shipping. Lack of fatigue management has been identified as a contributory factor in a number of recent accidents. This is further substantiated through research reports with shortfalls highlighted in current fatigue management approaches. These approaches mainly focus on prescriptive hours of work and rest and include an individualistic approach to managing fatigue. The expectation is that seafarers are responsible to manage and tolerate fatigue as part of their working life at sea. This attitude is an accepted part of a seafarer’s role. Poor compliance is one manifest of this problem with shipboard demands making it hard for seafarers to follow hours of work and rest regulations, forcing them into this “poor compliance” trap. This makes current fatigue management approaches ineffective. This paper proposes a risk based approach and way forward for the implementation of a fatigue risk management framework for shipping, aiming to support the hours of work and rest requirements. This forms part of the work currently underway to review and update the International Maritime Organization, Guidelines on Fatigue.

Suggested Citation

  • Michelle Rita Grech, 2016. "Fatigue Risk Management: A Maritime Framework," IJERPH, MDPI, vol. 13(2), pages 1-9, January.
  • Handle: RePEc:gam:jijerp:v:13:y:2016:i:2:p:175-:d:63137
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    Citations

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    Cited by:

    1. Charli Sargent & Paul Roberts & Drew Dawson & Sally Ferguson & Lynn Meuleners & Libby Brook & Gregory D. Roach, 2016. "The Relationships between Human Fatigue and Public Health: A Brief Commentary on Selected Papers from the 9th International Conference on Managing Fatigue in Transportation, Resources and Health," IJERPH, MDPI, vol. 13(9), pages 1-3, August.
    2. Fan, Shiqi & Yang, Zaili, 2024. "Accident data-driven human fatigue analysis in maritime transport using machine learning," Reliability Engineering and System Safety, Elsevier, vol. 241(C).
    3. Li, Xue & Zhou, Yusheng & Yuen, Kum Fai, 2022. "A systematic review on seafarer health: Conditions, antecedents and interventions," Transport Policy, Elsevier, vol. 122(C), pages 11-25.

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