# Decision-Making Framework for Aviation Safety in Predictive Maintenance Strategies
## 5 Conclusions  
This research has developed and validated a comprehensive decision-making framework for evaluating the feasibility of implementing PM in aviation, addressing a critical gap in the systematic integration of technical, economic, regulatory, and organizational factors. This study's findings demonstrate that successful PM implementation requires a balanced consideration of multiple criteria, with flight safety impact, reliability predictability, and data sufficiency emerging as primary drivers of decision-making.  
The MCDA approach, incorporating the analytic hierarchy process, provides a robust methodology for evaluating aircraft components' suitability for PM. Through expert surveys and validation studies, the research identified and weighted 14 critical factors across four categories, establishing a structured framework that aligns with aviation industry priorities. The case studies, particularly the comparison between turbofan engines and FMC, validate the framework's ability to discriminate effectively between components suitable and unsuitable for PM implementation.  
The study's contributions extend beyond theoretical advancement, offering practical tools for maintenance decision-makers. The detailed roadmap for implementation, coupled with comprehensive validation methods, provides organizations with actionable guidance for transitioning to PM strategies. The framework's emphasis on safety-critical factors and regulatory compliance ensures its relevance within the highly regulated aviation environment, while its flexible structure allows adaptation to varying operational contexts.  
Despite identified challenges, including data availability and organizational resistance, the framework demonstrates robust potential for improving maintenance efficiency and safety. The integration of sensitivity analysis and expert validation enhances the framework's reliability, while the proposed future research directions outline pathways for continuous improvement and broader application.  
This research advances the field of aviation maintenance by providing a systematic, evidence-based approach to PM implementation decisions. The framework's ability to balance multiple criteria while prioritizing safety and operational efficiency addresses a critical industry need. As aviation maintenance continues to evolve with technological advancements, this framework provides a foundation for future innovations in predictive maintenance strategies, contributing to enhanced safety, reliability, and cost-effectiveness in aircraft operations.  
This study's findings suggest that successful PM implementation requires not only technological readiness but also organizational alignment and regulatory compliance. Future research opportunities, particularly in advanced analytics, sensor technology, and cross-industry applications, indicate the framework's potential for broader impact beyond aviation maintenance.  
Conceptualization, I.K.; methodology, I.K.; software, R.F.; validation, V.P. and R.F.; formal analysis, I.K.; investigation, I.K., V.P. and R.F.; resources, V.P. and R.F.; data curation, V.P. and R.F.; writing--original draft preparation, I.K.; writing--review and editing, I.K., V.P. and R.F.; visualization, I.K.; supervision, I.K.; project administration, I.K.; funding acquisition, I.K., V.P. and R.F. All authors have read and agreed to the published version of the manuscript.  
This research received no external funding.  
Not applicable.  
The original contributions presented in the study are included in the article, further inquiries can be directed to the corresponding author.  
The authors declare no conflict of interest.