Examining influencing factors and their hierarchical relationships in flight crew resilient behavior through a hybrid ISM-DEMATEL approach.

The increasing complexity of aviation systems and the rise of unpredictable "Black Swan" events necessitate resilience-based safety management strategies. Flight Crew Resilient Behavior (FCRB), defined as the ability of flight crews to adapt effectively beyond standard operating procedures, is critical for ensuring operational safety. Despite its significance, systematic approaches to understanding and managing FCRB remain underdeveloped.

Pilot fatigue survey: A study of the mutual influence among fatigue factors in the "work" dimension.

Background: Fatigue risk management for pilots has received increasing attention. The existing fatigue management systems have detailed descriptions of the factors and the mutual influences among the factors that affect the dimension of "sleep", which is one of the most important causes of fatigue. However, the analysis of the influencing factors of the "work" dimension of fatigue causes has not been very detailed or accurate, especially the exploration of the mutual influence among many fatigue-influencing factors in the "work" dimension.

Development of a biomathematical model for human alertness and fatigue risk assessment based on the concept of energy.

Fatigue risk in humans has few biomathematical models, and existing biomathematical models have many shortcomings. We developed a biomathematical model of fatigue risk based on the concept of energy to quantify human alertness from the perspective of energy and used alertness to characterise human psychological fatigue risk. The model allows mathematical modelling of activity processes that concern sleep intensity and quality and distinguishes between intrinsic exertion in the waking state and workload exertion in the workload state.

Forecasting crew fatigue risk on international flights under different policies in China during the COVID-19 outbreak.

To predict the risk of fatigue for flight crews on international flights under the new operating model policy of the civil aviation exemption approach policy during the COVID-19 outbreak, and to provide scientific validation methods and ideas for the exemption approach policy. This paper uses the change in flight crew alertness as a validation indicator, and then constructs an alertness assessment model to predict flight crew fatigue risk based on the SAFTE model theory. Then, the corresponding in-flight rotation plans for the flight is designed according to the exemption approach policy issued by the CAAC, the CCAR-121 part policy and the real operational requirements of the airline, respectively, and finally the simulation results is compared by comparing the pilot alertness and cockpit crew alertness under the exemption approach policy and the CCAR-121 part policy with the flight duration.

Flight crew fatigue risk assessment for international flights under the COVID-19 outbreak response exemption policy.

Background: In response to the COVID-19 outbreak, the Civil Aviation Administration of China (CAAC) has formulated Implementation Measures for Exemption of Crew Duty Periods and Flight Time Restrictions during the COVID-19 Outbreak. This exemption policy imposes temporary deviations from the approved crew duty periods and flight time restrictions for some transport airlines and regulates the use of multiple crews for continuous round-trip flights. However, no research has been conducted on flight crew fatigue under this exemption policy.

Effects of caffeine ingestion on physiological indexes of human neuromuscular fatigue: A systematic review and meta-analysis.

Background: Caffeine is often used as a stimulant during fatigue, but the standard of characteristic physiological indicators of the effect of caffeine on neuromuscular fatigue has not been unified. The purpose of this systematic review and meta-analysis is to summarize current experimental findings on the effects of caffeine on physiological indexes before and after neuromuscular fatigue, identify some characteristic neuromuscular physiological indexes to assess the potential effects of caffeine.

Methods: The Preferred Reporting Items for Systematic Reviews and Meta-analyses are followed.