Development of a multicriteria decision-making model for selecting optimal aviation fatigue measurement methods

Human fatigue has been proved to directly cause or contribute to a significant share of aviation accidents. Although fatigue measurement is a major input to any solution that targets reduction of fatigue adverse influences on aviation operations, there is a critical lack of evidence on what optimum sets of fatigue measurement strategies could be applied given the vast organizational and operational differences between various industry players. The current study utilizes the published aviation safety literature, the technology acceptance model and expert opinion to propose a new multicriteria decision model, the aviation fatigue measurement selection model, to decide on what fatigue measurement methods are most suitable for each aviation operator. The model addresses the validity, user acceptance, cost and other limitations of each currently acknowledged fatigue measurement method. The model was then applied through comprehensive scenario-based simulations and was found to be sensitive to changes in user preferences and valid.

Automated summary

Human fatigue directly contributes to aviation accidents, but selecting the most suitable fatigue measurement methods for each aviation operator poses a challenge. A new multicriteria decision model was proposed based on aviation safety literature and expert opinions, which was found to be sensitive to user preferences and effective through scenario-based simulations.