By the same authors

From the same journal

From the same journal

Dynamic optimisation of preventative and corrective maintenance schedules for a large scale urban drainage system

Research output: Contribution to journalArticlepeer-review

Published copy (DOI)



Publication details

JournalEuropean Journal of Operational Research
DateAccepted/In press - 13 Jul 2016
DateE-pub ahead of print - 21 Jul 2016
DatePublished (current) - 1 Mar 2017
Issue number2
Number of pages17
Pages (from-to)494-510
Early online date21/07/16
Original languageEnglish


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.

Bibliographical note

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.

    Research areas

  • Large scale optimisation, Maintenance, Routing, Scheduling

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