Practical Risk Management for Aeroengine Maintenance: An Industry 5.0 Approach

This study presents a method for identifying and managing risks in the aeronautical engine overhaul process. It emphasizes integrating this process with the Operational Safety Management System (SMS) to enhance quality and meet regulatory requirements. The study also introduces an optimized risk prioritization process using Bayesian Belief Networks (BBN) and Fuzzy Logic. As technology evolves, it brings both advancements and new risks. Effective risk identification and response are vital in aircraft engine maintenance due to the potentially catastrophic consequences of engine failure during flight. The study combines a literature review on probabilistic risk analysis with a case study of aircraft and engine overhaul process, presenting a method for integrating risks from various sources into a unified model. The mathematical method, employing BBN and Fuzzy Logic, aids in prioritizing risk mitigation actions. By integrating the overhaul process with SMS, aero engine operations can enhance quality and operational safety while reducing costs. The approach aligns with industry standards and regulations. In conclusion, this method offers significant potential for optimizing risk management, especially in aeronautical engine maintenance. It contributes to the knowledge of process and aero engine maintenance, can aid safety professionals, and its implications can extend to industries where safety and risk management are paramount.

Keywords: Bayesian Belief Networks (BBN), Fuzzy logic, Risk management, Operational safety, Probabilistic risk assessment, Aeroengine overhaul, Quality and safety, Industry 5.0.