13th International Conference on Mathematical Methods in Reliability

At MMR 2025, our group contributed three presentations that reflect the breadth of our work at the intersection of data science, optimization, and maintenance engineering across diverse industries.

• Ignacio Riego presented a data-driven solution for automated maintenance planning in the airline industry, focusing on the creation of personalized maintenance checks. This work is part of our FONDECYT project, which explores optimization and analytics strategies to improve large-scale maintenance operations.

• Andrés Catalán shared a novel method for log anomaly detection in distributed systems. His talk introduced a transformer-based approach combining sentiment analysis and explainability to enhance detection in complex environments. This research is also embedded within the FONDECYT project, addressing predictive modeling in high-frequency operational contexts.

• Alejandro Maccawley and Ricardo Askenazy presented a predictive model for equipment degradation in wine bottling lines, using real-time sensor data to anticipate failures and optimize interventions. This work is part of the PLASMA project, a collaboration with Viña Concha y Toro focused on applying prescriptive maintenance tools in the food and beverage sector.

Together, these talks demonstrate the versatility of our research group in applying cutting-edge analytical methods to real-world maintenance challenges, and the relevance of our FONDECYT and PLASMA initiatives in advancing applied research across industries.