Dynamic optimization of preventative and corrective maintenance schedule for a large scale urban drainage system
- Submitting institution
-
University of York
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 54880659
- Type
- D - Journal article
- DOI
-
10.1016/j.ejor.2016.07.027
- Title of journal
- European Journal of Operational Research
- Article number
- -
- First page
- 494
- Volume
- 257
- Issue
- 2
- ISSN
- 0377-2217
- Open access status
- Not compliant
- Month of publication
- July
- Year of publication
- 2016
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
4
- Research group(s)
-
-
- Citation count
- 15
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This work was a major part of a KTP with Gaist Solutions Ltd (gaist.co.uk). The KTP was rated outstanding and this research now forms part of Gaist's commercial offering. The methods in the paper have been deployed by Blackpool Council to reduce costs and increase safety (https://www.gaist.co.uk/case-studies/blackpool-council-2) with outstanding results.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -