Optimizing preventive maintenance policy

Open access
Date
2017-10Type
- Journal Article
ETH Bibliography
yes
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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 preventive maintenance 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. Show more
Permanent link
https://doi.org/10.3929/ethz-b-000182703Publication status
publishedExternal links
Journal / series
Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and ReliabilityVolume
Pages / Article No.
Publisher
SAGESubject
Maintenance modelling; Failure modelling; Reliability; Availability; Rolling stockOrganisational unit
09611 - Corman, Francesco / Corman, Francesco
02226 - NSL - Netzwerk Stadt und Landschaft / NSL - Network City and Landscape
02655 - Netzwerk Stadt u. Landschaft ARCH u BAUG / Network City and Landscape ARCH and BAUG
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ETH Bibliography
yes
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