Abstract
This paper presents the development of a model of accident analysis according to the principal factors which influence aeronautical accidents that are able to assess any aircraft accident, taking into account human, organizational, environmental and airport infrastructure factors. The methodology of data collection of this research was through the literature, analysis of aircraft accident reports, technical visits to the center of certification of commercial aircraft pilots and interviews with industry experts. From this model, it is possible to evaluate the influence of these factors and identify the dependence and relationship existing, and how they influence the system. With the aid of Bayesian Networks technique, it is also possible to quantify the factors and assess which ones have more impact in the system. The results show the relationship between the factors that can influence the performance of the pilots and therefore can indicate how it may impact the success or failure of tasks related to flight procedures. The results also may indicate subsidies for mitigating actions, collaborating in the management of operational safety of air transport and assessing the overall impact of the factors that determine any accident.
Highlights
IntroductionIn addition to the key aspects of technical and human performance, the concept of organizational accidents which was developed in the 90s, must be taken into account in the efforts to contemporary safety
Safety is an intrinsic component of aviation
These models became known as Failure Mode and Effect Analysis (FMEA), Fault Tree Analysis (FTA), Event Tree Analysis (ETA), and Cause-Effect Analysis
Summary
In addition to the key aspects of technical and human performance, the concept of organizational accidents which was developed in the 90s, must be taken into account in the efforts to contemporary safety. This concept does consider the active faults of individuals developed in front line operations and latent conditions inevitably present in any system. According Leveson (2003), this theory belongs to the class of sequential accident models or models based on accident events that gave allowances for most of the models of accident analyses introduced subsequently These models became known as Failure Mode and Effect Analysis (FMEA), Fault Tree Analysis (FTA), Event Tree Analysis (ETA), and Cause-Effect Analysis. Large proportion of this approach has been subjected to fierce criticism for being based on a causal relationship between events (Rasmussen, 1997; Hollnagel, 2004; Leveson, 2004)
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