# Decision-Making Framework for Aviation Safety in Predictive Maintenance Strategies
## 4 Discussion
### Roadmap for Implementation of the Proposed PM Framework  
The successful implementation of the proposed PM framework for aviation requires a structured roadmap to ensure seamless integration into existing maintenance operations. This roadmap includes six key phases, each addressing critical steps for adoption whilealigning with industry priorities, such as safety, efficiency, and regulatory compliance (Figure 15).  
The first phase, preparation and stakeholder engagement, focuses on establishing a foundation for implementation. Key activities include identifying relevant stakeholders, such as MRO providers, airline operators, regulatory authorities, and component manufacturers, and building awareness through workshops and briefings. This phase also involves conducting a requirement analysis to assess organizational readiness, including data availability, current maintenance practices, and technological infrastructure.  
The second phase, data collection and infrastructure development, emphasizes gathering the necessary data and building the infrastructure to support the framework. Historical maintenance records, operational data, and failure patterns for critical aircraft components are collected, while sensors are installed or upgraded to enable real-time monitoring. IT  
Figure 15: Roadmap for framework implementation.  
systems are developed or enhanced to integrate data from multiple sources, ensuring compatibility with the framework's requirements.  
In the third phase, framework customization, the framework is tailored to align with the specific priorities and operational contexts of the organization. This involves refining criteria and weights based on organizational needs, conducting expert workshops to finalize the criteria hierarchy using the AHP, and calibrating the model using historical data to test its applicability to selected components.  
The fourth phase, pilot implementation, tests the framework on a small scale to evaluate its performance and identify challenges. A diverse set of components is selected for testing, including those with high, moderate, and low PM suitability. The framework is applied to rank these components, and PM strategies are implemented for the most suitable ones. Outcomes, such as maintenance cost savings, downtime reduction, and safety improvements, are monitored to assess the framework's effectiveness.  
The fifth phase, full-scale deployment, focuses on organization-wide adoption. Training programs are conducted to educate maintenance teams, planners, and decision-makers on using the framework effectively. The framework is embedded into existing workflows and decision-support systems, while a continuous feedback loop is established to refine its functionality based on user input.  
The final phase, monitoring and continuous improvement, ensures the framework remains sustainable and adaptable. This involves ongoing analysis of operational and maintenance data to validate and improve predictions, regular updates to criteria weights and scoring mechanisms to reflect changing contexts, and integration of emerging technologies, such as AI-driven analytics and real-time condition monitoring, to enhance the framework's capabilities.  
By following this structured roadmap, organizations can transition seamlessly to predictive maintenance strategies, achieving enhanced safety, reduced operational costs, and improved maintenance efficiency while maintaining alignment with industry standards and best practices.