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Title: Risk mitigation in unstabilized approach with fuzzy Bayesian bow-tie analysis
Authors: Acarbay, Caner
Kıyak, Emre
Keywords: Stable approach
Bow-tie analysis
Safety risk management
Fuzzy logic
Bayes networks
Issue Date: 2020
Publisher: Emerald Group Publishing Ltd
Abstract: Purpose Stable approach concept has great importance for the safe operation of an airline during the approach and landing phases. The purpose of this study is to analyse the unstabilized approaches with bow-tie method and determine the threats that may cause risk in an unstable approach. Design/methodology/approach In this study, risk assessment of the unstabilized approaches is carried out by using fuzzy bow-tie method and Bayesian networks. Bow-tie method is the combination of event tree analysis and fault tree analysis. Bayesian network is used in the analysis to see interrelationship of basic and intermediate events as well as to update posterior probabilities. Finally, analysis results are verified by the safety performance indicator values. Findings In this study, the probabilistic values of the numerical model presented by the risk assessment system for risks were calculated using the fuzzy bow-tie method. Thus, the risk assessment system has been transformed into a structure that can be expressed in a probabilistic manner, and the relationship of the risks within the system has been examined and the effect of a possible change on the risk value has been found to be prevalent. Originality/value The bow-tie model is widely applied to assess the risks in aviation. Obtaining prior probabilities is not always possible in the risk assessment process. In this paper, innovative fuzzy bow-tie method is used to assess the risks to overcome the lack of prior probability problem in aviation operations.
ISSN: 1748-8842
Appears in Collections:Uçak Gövde ve Motor Bakımı Bölümü Kolekiyonu
WoS İndeksli Yayınlar Koleksiyonu

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