Print Email Facebook Twitter Optimizing preventive maintenance policy Title Optimizing preventive maintenance policy: A data-driven application for a light rail braking system Author Corman, F. (TU Delft Transport Engineering and Logistics) Kraijema, S. (HTM Personenvervoer N.V.) Godjevac, M. (TU Delft Ship Design, Production and Operations) Lodewijks, G. (TU Delft Transport Engineering and Logistics) Date 2017 Abstract This article presents a case study determining the optimal preventive maintenance policy for a light rail rolling stock system in terms of reliability, availability, and maintenance costs. The maintenance policy defines one of the three predefined preventive maintenance actions at fixed time-based intervals for each of the subsystems of the braking system. Based on work, maintenance, and failure data, we model the reliability degradation of the system and its subsystems under the current maintenance policy by a Weibull distribution. We then analytically determine the relation between reliability, availability, and maintenance costs. We validate the model against recorded reliability and availability and get further insights by a dedicated sensitivity analysis. The model is then used in a sequential optimization framework determining preventivemaintenance intervals to improve on the key performance indicators. We show the potential of data-driven modelling to determine optimal maintenance policy: same system availability and reliability can be achieved with 30% maintenance cost reduction, by prolonging the intervals and re-grouping maintenance actions. Subject Maintenance modellingfailure modellingreliabilityavailabilityrolling stock To reference this document use: http://resolver.tudelft.nl/uuid:14ff204c-778f-40fa-8bcd-eba6c41e5ba4 DOI https://doi.org/10.1177/1748006X17712662 ISSN 1748-006X Source Journal of Risk and Reliability: Proceedings of the Institution of Mechanical Engineers, Part O, 231 (5), 534-545 Part of collection Institutional Repository Document type journal article Rights © 2017 F. Corman, S. Kraijema, M. Godjevac, G. Lodewijks Files PDF 1748006X17712662.pdf 1.46 MB Close viewer /islandora/object/uuid:14ff204c-778f-40fa-8bcd-eba6c41e5ba4/datastream/OBJ/view