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Date
2023Type
- Other Conference Item
ETH Bibliography
yes
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Abstract
Railways are a reliable, efficient and low-pollution solution for the mass transportation of passengers and goods. This imposes high demands on service quality, resilience against failures and cost-effectiveness. The increasing demand for sophisticated and flexible models for the improvement of the maintenance decision-making process in railways fuels research that largely exploits the use of data analytics and optimization tools, where availability and safety are of utmost concern. With the current advancements in technologies to acquire and process failure data, a large amount of event data and condition monitoring data are available, making it possible for railway providers to shift from the traditional maintenance paradigm consisting of corrective and preventive maintenance tasks to more-flexible maintenance strategies that also incorporate other types of maintenance tasks. This paper provides a case study on the optimization of the availability of a small fleet of locomotives of a train operating company operating in Catalonia, Spain. The model aimed to study the viability and measure the expected economic returns of shifting from a complete preventive maintenance program to a hybrid program incorporating condition-based and predictive maintenance tasks in selected components of the locomotives' bogie. A deterioration model along with failure rate estimation was proposed and integrated into the optimization formulation, and the scheduling model was tested for a 4-year interval. The framework was able to mimic current maintenance practices and show that shifting to a hybrid maintenance plan resulted in reduced unavailability costs. Show more
Publication status
publishedBook title
RailBelgrade 2023: Book of AbstractsPages / Article No.
Publisher
University of Belgrade, The Faculty of Transport and Traffic EngineeringEvent
Subject
Railway maintenance scheduling; Rolling stock bogie; Mixed-integer linear programming; Degradation model; Reliability analysisOrganisational unit
09611 - Corman, Francesco / Corman, Francesco
02655 - Netzwerk Stadt u. Landschaft ARCH u BAUG / Network City and Landscape ARCH and BAUG
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Is part of: http://hdl.handle.net/20.500.11850/616165
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