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Authors: Yujie Chen 1 ; Fiona Polack 1 ; Peter Cowling 1 ; Philip Mourdjis 1 and Stephen Remde 2

Affiliations: 1 University of York, United Kingdom ; 2 Gaist Solutions Limited, United Kingdom

Keyword(s): Simulation, Maintenance, Risk Management.

Related Ontology Subjects/Areas/Topics: Applications ; Maintenance ; Methodologies and Technologies ; Operational Research ; Pattern Recognition ; Risk Management ; Software Engineering ; Software Project Management

Abstract: 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. Our simulation considers the risk impact of gully pot failure and its failure behaviour. In this paper, we focus on two factors, the issue of parked cars and up-to-date gully pots status information, that may affect the scheduling of maintenance actions. The aim is to discover potential investment directions and management policies that will improve the efficiency of maintenance. We find that the “untimely system status information” is a dominant factor that weakens the current maintenance. Low-cost sensor technique could be a good development.

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Paper citation in several formats:
Chen, Y.; Polack, F.; Cowling, P.; Mourdjis, P. and Remde, S. (2016). Risk Driven Analysis of Maintenance for a Large-scale Drainage System. In Proceedings of 5th the International Conference on Operations Research and Enterprise Systems - ICORES; ISBN 978-989-758-171-7; ISSN 2184-4372, SciTePress, pages 296-303. DOI: 10.5220/0005749102960303

@conference{icores16,
author={Yujie Chen. and Fiona Polack. and Peter Cowling. and Philip Mourdjis. and Stephen Remde.},
title={Risk Driven Analysis of Maintenance for a Large-scale Drainage System},
booktitle={Proceedings of 5th the International Conference on Operations Research and Enterprise Systems - ICORES},
year={2016},
pages={296-303},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005749102960303},
isbn={978-989-758-171-7},
issn={2184-4372},
}

TY - CONF

JO - Proceedings of 5th the International Conference on Operations Research and Enterprise Systems - ICORES
TI - Risk Driven Analysis of Maintenance for a Large-scale Drainage System
SN - 978-989-758-171-7
IS - 2184-4372
AU - Chen, Y.
AU - Polack, F.
AU - Cowling, P.
AU - Mourdjis, P.
AU - Remde, S.
PY - 2016
SP - 296
EP - 303
DO - 10.5220/0005749102960303
PB - SciTePress

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