Sabrina Draude
ABSTRACT
Water utilities (WU) in the UK are responsible for providing sewerage disposal for customers across the country. Blockages within sewer networks can be disruptive for customers, damaging to the local environment and costly to rectify. Effective scheduling of preventative maintenance (PM) is an important for WU to prevent blockages, reduce costs and protect the environment. In this paper, we describe a novel multi-objective optimisation methodology to the scheduling of PM applied to a case study in Swansea, Wales. The results of real-world trials demonstrate that solutions generated by the proposed method achieve a 13.8% increase in jobs completed for compared to the standard approach used in November 2019.
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Digital Library
- Bailey, J., Harris, E., Keedwell, E., Djordjevic, S. and Kapelan, Z., 2016. Developing Decision Tree Models to Create a Predictive Blockage Likelihood Model for Real-World Wastewater Networks. Procedia Engineering, 154, pp.1209--1216.Google ScholarCross Ref
- Jemai, J., Zekri, M. and Mellouli, K., 2012, April. An NSGA-II algorithm for the green vehicle routing problem. In European Conference on Evolutionary Computation in Combinatorial Optimization (pp. 37--48). Springer, Berlin.Google Scholar
- Draude, S., Keedwell, E., Hiscock, R. and Kapelan, Z., 2019. A statistical analysis on the effect of preceding dry weather on sewer blockages in South Wales. Water Science and Technology, 80(12), pp.2381--2391Google ScholarCross Ref
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