Research output: Contribution to journal › Article › peer-review
Journal | European Journal of Operational Research |
---|---|
Date | Accepted/In press - 13 Jul 2016 |
Date | E-pub ahead of print - 21 Jul 2016 |
Date | Published (current) - 1 Mar 2017 |
Issue number | 2 |
Volume | 257 |
Number of pages | 17 |
Pages (from-to) | 494-510 |
Early online date | 21/07/16 |
Original language | English |
Gully pots or storm drains are located at the side of roads to provide drainage for surface water. We consider gully pot maintenance as a risk-driven maintenance problem. We explore policies for preventative and corrective maintenance actions, and build optimised routes for maintenance vehicles. Our solutions take the risk impact of gully pot failure and its failure behaviour into account, in the presence of factors such as location, season and current status. The aim is to determine a maintenance policy that can automatically adjust its scheduling strategy in line with changes in the local environment, to minimise the surface flooding risk due to clogged gully pots. We introduce a rolling planning strategy, solved by a hyper-heuristic method. Results show the behaviour and strength of the automated adjustment in a range of real-world scenarios.
Funding Information:
The authors would like to thank Gaist Solutions Ltd. for providing data and domain knowledge. This research is part of the LSCITS project funded by Engineering and physical sciences research council (EPSRC) (Grant number: EP/F501374/1 ).
Publisher Copyright:
© 2016 Elsevier B.V.
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