Timely condition-based maintenance planning for multi-component systems

Timely condition-based maintenance planning for multi-component systems

Verbert, K.A.J. (TU Delft Team Bart De Schutter)
De Schutter, B.H.K. (TU Delft Team Bart De Schutter)
Babuska, R. (TU Delft Learning & Autonomous Control)

2017

Last-minute maintenance planning is often undesirable, as it may cause downtime during operational hours, may require rescheduling of other activities, and does not allow to optimize the management of spare parts, material, and personnel. In spite of the aforementioned drawbacks of last-minute planning, most existing methods plan maintenance activities at the last minute. In this paper, we propose a new strategy for timely maintenance planning in multi-component systems. As a first step, we determine for each system component independently the most appropriate maintenance planning strategy. This way, the maintenance decisions can be tailored to the specific situations. For example, conservative maintenance decisions can be taken when the risk tolerance is low, and maintenance decisions can be made timely when we can accurately predict future degradation behavior. In the second step, we optimize the maintenance plan at the system level. Here, we account for economic and structural dependence with the aim to profit from spreading or combining various maintenance activities. The applicability of the method is demonstrated on a railway case. It is shown how the different cost functions (e.g. costs of maintenance, downtime, and failure) influence the maintenance decisions.

Condition-based maintenance
Optimization
Sequential decision making
Multi-component systems
Economic dependence
Structural dependence
Dynamic maintenance grouping
Railway networks

http://resolver.tudelft.nl/uuid:43e8ed3e-f572-48db-9274-1170d0471dbe

https://doi.org/10.1016/j.ress.2016.10.032

2018-11-11

0951-8320

Reliability Engineering & System Safety, 159, 310-321

Accepted Author Manuscript

Institutional Repository

journal article

© 2017 K.A.J. Verbert, B.H.K. De Schutter, R. Babuska