Affiliation:
1. School of Management, EAFIT University, Medellin, Colombia
2. CEOS, Porto Accounting and Business School, Polytecnhic University of Porto, Portugal
Abstract
One of the significant challenges facing the aviation sector is the management of risks arising from its flight operations, especially in the approach and landing phases, where pilot experience and training are of great importance and where the most significant incidents for air safety occur. Therefore, this paper proposes a model inspired by the structure of a Fuzzy ELECTRE model for managing the operational risks that arise in the approach and landing phases that can lead to safety events. Thanks to the analysis of the literature collected, the management criteria and risk parameters to be taken into account for these two flight phases were shown following air safety manuals such as the International Civil Aviation Organization (ICAO) manual, and where the data obtained was obtained qualitatively thanks to the implementation of surveys with expert pilots, whose information served as the primary input for the characterisation of risks. Following the structure of the proposed model, five (5) reference risk scenarios management were constructed using the previous information, and an analysis of the dominance and discrepancy of a risk scenario vs. the previously established reference scenarios was carried out. Finally, it can be concluded that the proposed model allowed the quantitative-qualitative characterisation for managing the most relevant risks in the approach and landing phases, integrating the expertise of experts in this area.
Publisher
International Association for Digital Transformation and Technological Innovation
Reference30 articles.
1. Basel Committee on Banking Supervision (2006). International Convergence of Capital Measurement and Capital Standards. https://www.bis.org/publ/bcbs128_es.pdf
2. Benoit, F., Monstein, R., Waltert, M., & Morio, J. (2023). Data-driven mid-air collision risk modelling using extreme-value theory. Aerospace Science and Technology. 142 (Part A), 1-2. DOI: https://doi.org/10.1016/j.ast.2023.108646
3. Bills, K., Costello, L., & Cattani, M. (2023). Major aviation accident investigation methodologies used by ITSA members. Safety Science, 168(2023), 1-2. DOI: https://doi.org/10.1016/j.ssci.2023.106315
4. Boeing (2023). Statistical Summary of Commercial Jet Airplane Accidents Worldwide Operations | 1959‑2022.
5. Cadena, S., & Garcia, D. (2023). Aeronautical operational risk characterisation survey on approach and landing phase [Unpublished raw data]. Eafit University.