Risk Management of Safety for Flight Training in Air Forces

Abstract

Risk management has been an essential issue in the evolution of air-force flight safety. In this paper, the investigated risk management of air-force flight training in the Gangshan airbase, Republic of China (ROC) is the main field of study. The main goal of this paper is to conduct a series of risk identification and assessments of the flight training. Firstly, the 16 risk factors (RFs) of flight training were identified according to the related studies of flight safety and risk and three experts’ interviews. Then, we created a fuzzy-analytic hierarchy process questionnaire and interviewed 20 flight instructors to obtain the weight of likelihood and consequence of the 16 RFs. Furthermore, a sequential assessment of the risk matrix was constructed to classify the 16 RFs into four groups, namely, extreme risk, high risk, medium risk, and low risk. As the results of the revised risk matrix, we provided four suggestions for the improvement of flight-training policy. These suggestions not only can facilitate the Gangshan airbase to smoothly transfer and reduce the deadly risk of flight training, but also provide exemplary risk management for other similar airbases.

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“…1 Nevertheless, the past decades have witnessed the occurrence of several tragic incidents with heavy human, economic, and political losses in complex systems such as the Three Mile Island accident, Bhopal gas tragedy in India, space shuttle Challenger disaster and the Chernobyl disaster, despite efforts to increase safety. 2 According to the studies conducted on the causes of these accidents, engineering provisions alone have not been sufficient to prevent them from happening 3 as the human errors have been the direct cause of 60-90 percent of these accidents and despite the expansion of the use of automation in industries and reduced human role in the work environment, human errors is still the main cause of life and financial accidents. 4 Human error refers to the deviation of performance from specified rules and tasks so that it is beyond the acceptable limit and has adverse impacts on the system efficiency.…”