Publication | Open Access
Uncertainty estimation in railway track life-cycle cost: a case study from Swedish National Rail Administration
50
Citations
5
References
2008
Year
Railway TrafficEngineeringLife Cycle CostingLife-cycle CostUncertainty ModelingDeterioration ModelingOperations ResearchReliability EngineeringRail TransportUncertainty QuantificationUncertainty EstimationEconomic AnalysisLogisticsSystems EngineeringStatisticsTransportation EngineeringQuantitative ManagementRailway Track InfrastructureMaintainability ParametersService Life PredictionReliabilityEconomicsHigh UncertaintyReliability PredictionReliability ModellingCivil EngineeringBusinessEconometricsCase StudyLife Cycle AssessmentUncertainty ManagementConstruction Engineering
Life-cycle cost (LCC) is used as a cost-effective decision support for maintenance of railway track infrastructure. However, a fair degree of uncertainty associated with the estimation of LCC is due to the statistical characteristics of reliability and maintainability parameters. This paper presents a methodology for estimation of uncertainty linked with LCC, by a combination of design of experiment and Monte Carlo simulation. The proposed methodology is illustrated by a case study of Banverket (Swedish National Rail Administration). The paper also includes developed maintenance cost models for track.
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