Abstract
Optimizing railway and rolling-stock operations, reducing costs and improving service reliability are goals that should be pursued and adapted to the current and future customer demand, while complying with maintenance and safety requirements. This paper presents an integer linear programming mathematical model, which schedules maintenance tasks for a given period, within the normal rolling-stock service operations. This model is applied to a case study and a reliability analysis is conducted, assessing the impact of uncertainty associated with maintenance durations in the optimal value for the objective function, as well as in the feasibility of such a maintenance schedule.
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