Railway condition-based maintenance model with stochastic deterioration

By Cecília Vale, Isabel M. Ribeiro. 2014

51 citations recorded by the source corpus.

AbstractThe application of mathematical programming for scheduling preventive maintenance in railways is relatively new. This paper presents a stochastic mathematical model designed to optimize and to predict tamping operations in ballasted tracks as preventive condition-based maintenance. The model is formulated as a mixed 0–1 nonlinear program that considers real technical aspects as constraints: the reduction of the geometrical track quality over time is characterized by the deterioration rate of the standard deviation of the longitudinal level; the track layout; the dependency of the track recovery on its quality at the moment of the maintenance operation; the limits for preventive maintenance that depend on the maximum permissible train speed. In the model application, a railway stretch with 51.2 km of length is analysed for a time period of five years. The deterioration model is stochastic and represents the reduction of the standard deviation of the longitudinal level over time. The deterioration r...

Subfields: Mechanical Engineering, Safety, Risk, Reliability and Quality, Strategy and Management

View Paper: https://www.semanticscholar.org/paper/f6d77376258d66fcf10dbad067d8c2122040bc96