Azvi is participating in consortium with the University of Seville, the companies Cenit and Datagram, and the innovation cluster Ontech. This initiative is funded by the Ministry of Industry, Commerce and Tourism, with support from the European Union through the Recovery, Transformation, and Resilience Plan.
Once again, Azvi has committed to innovation by joining the new industrial research project DF-MAS (Digital Fleet Maintenance Services), aimed at digitalizing the maintenance services for machinery used in railway infrastructure upkeep.
Specifically, Azvi is responsible for developing modeling and simulation methodologies for dynamic preventive maintenance of heavy track machinery and for scheduling maintenance activities in workshops. The results of the project will be applied to the machinery fleet it owns in Seville, which includes all types of heavy track machines (locomotives, tampers, profilometers, ballast regulators, stabilizers, etc.). Azvi’s fleet is one of the most advanced privately-owned fleets in Spain.
Maintenance of this fleet is carried out through its subsidiary Manfevias, certified as a Maintenance Entity by the Spanish Railway Safety Agency. Their extensive experience in workflow data management and regulatory compliance is fundamental for the development of DF-MAS.
Azvi is executing this project in consortium with the University of Seville, Cenit, Datagram, and the Ontech cluster, which also coordinates the project.
This initiative is funded by the Ministry of Industry, Commerce and Tourism under the support program for Innovative Business Groups (AEI) to enhance the competitiveness of Spanish industry, with additional backing from the European Union through the Recovery, Transformation, and Resilience Plan.
