Dynamic optimisation of preventative and corrective maintenance schedules for a large scale urban drainage system
| Autor: | Fiona A. C. Polack, Peter I. Cowling, Yujie Chen, Philip Mourdjis, Stephen Remde |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
Risk impact
geography 021103 operations research Information Systems and Management geography.geographical_feature_category General Computer Science Corrective maintenance Computer science 0211 other engineering and technologies Scheduling (production processes) 02 engineering and technology Management Science and Operations Research Civil engineering Industrial and Manufacturing Engineering Maintenance Problem Modeling and Simulation 0202 electrical engineering electronic engineering information engineering Local environment 020201 artificial intelligence & image processing Operations management Drainage Drainage system (agriculture) |
| Zdroj: | European Journal of Operational Research. 257:494-510 |
| ISSN: | 0377-2217 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|
Full Text from ScienceDirect