# Decision-Making Framework for Aviation Safety in Predictive Maintenance Strategies
###### Abstract  
The implementation of predictive maintenance (PM) in aviation presents unique challenges due to strict safety requirements, complex operational environments, and regulatory constraints. This paper develops a comprehensive decision-making framework for evaluating the feasibility of implementing PM for aircraft components, addressing the critical need for systematic integration of technical, economic, and regulatory considerations. Through expert surveys involving 78 aviation maintenance professionals and the application of multi-criteria decision analysis, this study identifies and validates 14 key criteria across four categories: technical and operational, economic and feasibility, regulatory and compliance, and organizational and human factors. The analytic hierarchy process is employed to establish criteria weights, with flight safety impact, reliability predictability, and data sufficiency emerging as primary drivers. The framework's effectiveness is demonstrated through case studies comparing turbofan engines and avionics units, validating its ability to discriminate between components suitable for PM implementation. Results indicate that successful PM implementation requires not only technological readiness but also organizational alignment and regulatory compliance. This study contributes to aviation maintenance practice by providing a structured, evidence-based approach to PM implementation decisions, while establishing a foundation for future innovations in maintenance strategies. The framework's practical applicability is enhanced through a detailed implementation roadmap and validation methods, ensuring its relevance for maintenance decision-makers while maintaining alignment with aviation safety standards.  
a Article  
nents operate under highly dynamic and harsh conditions, and their failure mechanisms vary widely--from predictable wear and tear in mechanical systems to sudden, unpredictable failures in electronic systems. Moreover, the aviation industry is characterized by strict safety and compliance standards, making it imperative to assess whether PM can meet these requirements without compromising operational integrity. The high cost of implementing PM technologies, such as sensor retrofitting, data infrastructure, and algorithm development, further underscores the need for a robust decision-making framework to evaluate its feasibility [3].  
The primary objective of this research is to develop, validate, and refine a comprehensive decision-making framework for evaluating the feasibility of implementing PM for aircraft components. This framework aims to systematically integrate technical, operational, economic, and regulatory criteria to provide a holistic assessment of PM suitability. By using multi-criteria decision analysis (MCDA) techniques, this study seeks to prioritize factors such as flight safety impact, reliability predictability, economic feasibility, and data sufficiency while also addressing challenges like scalability, technological integration, and compliance with aviation standards. This research seeks to provide maintenance organizations, airlines, and regulatory bodies with a structured, data-driven approach to enhance decision-making, optimize maintenance strategies, and improve overall safety and efficiency in the aviation sector.