## 3 Methodology
### Description of the Phases of the Gonzalez-Prida Warranty Management Framework
DRAMS not only applies RAMS principles in a digitalized context, but also uses advanced tools such as artificial intelligence (AI), Internet of Things (IoT), and digital twins to optimize the monitoring and predictive analysis of critical assets. This digitalized approach enables the continuous, real-time assessment of asset reliability and availability, ensuring that warranty policies are aligned with current equipment performance and not just theoretical expectations. The components and benefits of DRAMS in warranty management can be summarized in the following points:  
* Real-Time Monitoring through IoT: DRAMS incorporates IoT sensors to capture real-time operational information from assets, such as temperature, vibration and wear levels. These data are continuously collected and analyzed to identify potential problems before they cause operational failure, allowing proactive intervention and reduced downtime [54]. By anticipating and planning necessary interventions, equipment reliability and availability are improved, contributing to a consistent service experience aligned with customer expectations. * Predictive Analytics with AI: AI and data analytics play a central role in DRAMS by analyzing historical and current patterns to anticipate failures and optimize maintenance plans. Machine learning algorithms process large volumes of operational data to identify wear patterns and specific risk factors. This predictive analysis helps companies schedule maintenance interventions at the most opportune time, maximizing availability and minimizing costs associated with emergency interventions [55]. * Using Digital Twins for Simulation and Optimization: Digital twins allow the operating conditions of assets to be simulated and how they will respond to various operation and maintenance scenarios to be predicted. This simulation capability helps optimize warranty policies, allowing dynamic adjustments based on the asset's current state and usage conditions. Rolls-Royce, for example, has employed digital twins to monitor and extend the life of its aircraft engines, reducing maintenance costs and improving operational safety [55]. DRAMS' advanced capabilities not only allow assets to remain operational at optimal levels, but also extend their useful life and optimize their performance. This improvement translates into tangible benefits, such as reduced maintenance costs and improved operational efficiency. In addition, the early identification of potential problems allows unforeseen incidents to be minimized, which is essential to increase customers' satisfaction and strengthen their confidence in aftersales service. In an environment where customers are increasingly demanding reliable and personalized services, DRAMS represents an essential component of the transition to a proactive warranty management model [56]. This proactive approach is based on real operational data, ensuring more accurate warranty management tailored to each customer's specific needs. By reducing the incidence of failures and unplanned downtime, companies can offer an aftersales service that exceeds expectations, reinforcing customer loyalty and differentiating themselves in the market. * Phase 7: Life-Cycle Cost Analysis. Life-cycle cost analysis provides an understanding of the total costs associated with operating, maintaining, and guaranteeing an asset over its useful life. This phase is supported by financial modelling tools that integrate historical and projected data, providing a comprehensive view of costs throughout the life cycle [44]. This approach allows warranty policies to be adjusted to reflect actual maintenance and repair costs, optimizing resource allocation. * Phase 8: Electronic Warranty and Customer Relationship Management (e-Warranty and CRM). This final phase combines e-Warranty and CRM into one comprehensive system, where the digitalization of warranties facilitates the automated tracking of asset status and warranty claims.