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Civil-Comp Proceedings
ISSN 1759-3433 CCP: 110
PROCEEDINGS OF THE THIRD INTERNATIONAL CONFERENCE ON RAILWAY TECHNOLOGY: RESEARCH, DEVELOPMENT AND MAINTENANCE Edited by: J. Pombo
Paper 280
Rolling-stock Maintenance Scheduling in an Uncertain Environment D. Grimes, P. Ó Duinn and B. O'Sullivan
Insight Centre for Data Analytics, University College Cork, Ireland , "Rolling-stock Maintenance Scheduling in an Uncertain Environment", in J. Pombo, (Editor), "Proceedings of the Third International Conference on Railway Technology: Research, Development and Maintenance", Civil-Comp Press, Stirlingshire, UK, Paper 280, 2016. doi:10.4203/ccp.110.280
Keywords: rolling stock, maintenance scheduling, optimisation, condition-monitoring, constraint programming, corrective maintenance.
Summary
This paper introduces a constraint programming approach to the problem of optimising maintenance
scheduling of rolling-stock in a maintenance depot.
The maintenance scheduling problem considered here differs from that
most widely studied in the literature in that we consider
the problem at a more granular level. In particular,
a time-variable fleet demand profile is incorporated in the objective function, and
depot resource capacity restrictions are enforced at an hourly level.
Due to the level of uncertainty inherent in the problem inputs, both proactive and reactive features are incorporated into the proposed method. The prototype scheduler is empirically shown to be able to adapt to unexpected maintenance events. Additionally, we show how the prototype can be used as a tool for identifying problem bottlenecks and as a simulation tool for performing cost-analysis of possible changes to depot infrastructure and resources. purchase the full-text of this paper (price £22)
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