A Rolling-Horizon Approach for Predictive Maintenance Planning to Reduce the Risk of Rail Service Disruptions
| Autor: | Nicola Sacco, Angela Di Febbraro, Alice Consilvio |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
Service (systems architecture)
track degradation stochastic models Optimization problem Operations research Linear programming Computer science Stochastic process Scheduling (production processes) railway predictive maintenance Track (rail transport) Maintenance engineering dynamic planning Predictive maintenance Decision support systems (DSS) Electrical and Electronic Engineering Safety Risk Reliability and Quality |
| Zdroj: | IEEE Transactions on Reliability. 70:875-886 |
| ISSN: | 1558-1721 0018-9529 |
| DOI: | 10.1109/tr.2020.3007504 |
| Popis: | This article proposes a model for the risk-based scheduling of predictive maintenance activities on a railway line to intervene when a track segment has reached a certain state of degradation, thus preventing faults and possible failures. With the aim of taking into account the stochastic nature of real environments, the rail-track degradation process is represented as a stochastic process, and the failure probability is evaluated as the probability of reaching a degradation threshold. Moreover, a rolling-horizon framework is introduced to manage newly available real-time information and unpredicted faults or maintenance activity delays. Whereas the traditional scheduling models are offline models that cover the long-term horizon but neglect operational disturbances, the presented model allows for dynamic day-to-day planning and adaptation of the maintenance plan to real-time information, thereby responding to the increasing understanding of real-world processes. The optimization problem on maintenance scheduling is formulated as a mixed-integer linear programming problem based on risk minimization, in adherence to ISO 55 000 guidelines. Finally, the application of the approach to a real rail network is reported and discussed, with a focus on the planning of tamping activities at the operational level. |
| Databáze: | OpenAIRE |
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