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Diego Pérez Oliver
Chalmers Tekniska Högskola, Kretslopp och vatten i Göteborgs stad, Mistra Inframaint
Diego Pérez Oliver has served as an external Research Associate and Consultant at the University of Seville since 2022, contributing to collaborative projects with Talgo, a Spanish train manufacturer with a global presence. His work covers fleet management, Lifecycle-based offering, and maintenance planning, with a focus on simulation and optimisation methods. He is also a Research Assistant at Chalmers University of Technology and is currently completing the final year of his Master’s degree. He intends to pursue doctoral studies in the coming year.
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Tisdag
10 mars
11:00 - 11:20
10 mars
11:00 - 11:20
Fleet Operations and Maintenance Management - A Dynamic Optimisation Tool
In this session, Diego Pérez Oliver will present recent advances in fleet maintenance management, closely linked to the ECM-3 (Entity in Charge of Maintenance - Fleet Maintenance Management) framework, a strictly regulated EU system for railway and rolling stock maintenance. He will show how a complex optimisation model can be applied to jointly schedule fleet operations and maintenance activities, extending maintenance intervals, increasing asset availability, and reducing over-maintenance costs. The approach is demonstrated through a real case from the European railway sector and supported by a fully interactive graphical user interface that enables user-model interaction and allows daily uncertainty and schedule modifications to be managed. Attendees will gain insight into how the EU railway sector is evolving towards digitalisation while optimising operations management, and may envisage how such models could be applied in other industrial sectors.
- Lokal:
- Teknikscenen
In this session, Diego Pérez Oliver will present recent advances in fleet maintenance management, closely linked to the ECM-3 (Entity in Charge of Maintenance - Fleet Maintenance Management) framework, a strictly regulated EU system for railway and rolling stock maintenance. He will show how a complex optimisation model can be applied to jointly schedule fleet operations and maintenance activities, extending maintenance intervals, increasing asset availability, and reducing over-maintenance costs. The approach is demonstrated through a real case from the European railway sector and supported by a fully interactive graphical user interface that enables user-model interaction and allows daily uncertainty and schedule modifications to be managed. Attendees will gain insight into how the EU railway sector is evolving towards digitalisation while optimising operations management, and may envisage how such models could be applied in other industrial sectors.