This content is not included in
your SAE MOBILUS subscription, or you are not logged in.
From the Guantanamo Bay Crash to Objective Fatigue Hazard Identification in Air Transport
- Maria Papanikou ,
- Christos A. Frantzidis ,
- Frenchez Pietersz ,
- Anna Nikolaidou ,
- Christina S. Plomariti - Aristotle University of Thessaloniki, Greece ,
- Maria Karagianni - Aristotle University of Thessaloniki, Greece ,
- Vasilis D. Nigdelis - Aristotle University of Thessaloniki, Greece ,
- Aliki Karkala ,
- Christiane M. Nday - Aristotle University of Thessaloniki, Greece ,
- Georgios Ntakakis - Aristotle University of Thessaloniki, Greece ,
- Agisilaos Krachtis - Aristotle University of Thessaloniki, Greece ,
- Odysseas Papaefthymiou ,
- Panagiotis D. Bamidis ,
- Chrysoula Kourtidou-Papadeli
Journal Article
01-13-02-0017
ISSN: 1946-3855, e-ISSN: 1946-3901
Sector:
Citation:
Papanikou, M., Frantzidis, C., Pietersz, F., Nikolaidou, A. et al., "From the Guantanamo Bay Crash to Objective Fatigue Hazard Identification in Air Transport," SAE Int. J. Aerosp. 13(2):225-242, 2020, https://doi.org/10.4271/01-13-02-0017.
Language:
English
Abstract:
Sleep quality and maintenance of the optimal cognitive functioning is of crucial
importance for aviation safety. Fatigue Risk Management (FRM) enables the
operator to achieve the objectives set in their safety and FRM policies. As in
any other risk management cycle, the FRM value can be realized by deploying
suitable tools that aid robust decision-making. For the purposes of our article,
we focus on fatigue hazard identification to explore the possible developments
forward through the enhancement of objective tools in air transport operators.
To this end we compare subjective and objective tools that could be employed by
an FRM system. Specifically, we focus on an exploratory survey on 120 pilots and
the analysis of 250 fatigue reports that are compared with objective fatigue
assessment based on the polysomnographic (PSG) and neurocognitive assessment of
three experimental cases. We highlight the significance of predictive objective
tools that should be deployed by contemporary FRM models. We also report the
need for utilization of scientific-based tools for predictive FRM, in which
objective sleep quality and neurocognitive assessment should be the core aspect.
We note the period of restructuring ahead as an opportunity for operators to
rethink and restructure their FRM.