An integrated and effective method to manage fatigue risk in the aviation industry

Abstract

Fatigue plays a significant role in various industries and sectors. The nature of work in aviation is such that cabin crews often suffer from fatigue. Crew members work long shifts at irregular hours and need constant focus during flights. Research has shown that fatigue can affect a person’s health and performance. Fatigue can impair crew members’ ability to perform tasks, risking passengers’ safety and their own. Regulators and airlines have developed methods to mitigate safety and health consequences. Generally, these include timetables and rest requirements. Although various mathematical models have been created to study fatigue, it is not always possible to understand the exact conditions that cause it. No integrated model system describes the combined effects to assess fatigue factors.

The research examines the fatigue phenomenon related to definitions, factors, symptoms, causes, treatment strategies, and industrial approaches. The concepts of risk assessment are the core functions of risk management. They include identifying potential hazards and assessing their likelihood of happening. The dissertation explores the varied methods used in risk analysis. These include qualitative and quantitative techniques such as probability assessment and consequence analysis. It also explores the link between data-driven and technological approaches. Moreover, it emphasizes the importance of reviewing and updating risk assessments to ensure their continued applicability in changing circumstances. By addressing risks and strategizing well, organizations enhance operational resilience.

The dissertation presents an indexation method that can be connected to wearables to prevent accidents caused by crew fatigued members. It contributes to responding to gaps in fatigue risk management research. In conclusion, this research provides a comprehensive model and risk assessment method for identifying the level of fatigue risk that cabin crew members experience.