Print Email Facebook Twitter Multi-objective optimisation of sewer maintenance scheduling Title Multi-objective optimisation of sewer maintenance scheduling Author Draude, Sabrina (University of Exeter) Keedwell, Ed (University of Exeter) Kapelan, Z. (TU Delft Sanitary Engineering; University of Exeter) Hiscock, Rebecca (Dwr Cymru Welsh Water) Date 2022 Abstract Effective functioning of sewer systems is critical for the everyday life of people in the urban environment. This is achieved, among other things, by the means of regular, planned maintenance of these systems. A large water utility would normally have several maintenance teams (or crews) at their disposal who can perform related jobs at different locations in the company area and with different levels of priority. This paper presents a new methodology for the optimisation of related maintenance schedules resulting in clear prioritisation of the ordering of maintenance tasks for crews. The scheduling problem is formulated as a multi-objective optimisation problem with the following three objectives, namely the minimisation of the total maintenance cost, the minimisation of travel times of maintenance teams and the maximisation of the job's priority score, all over a pre-defined scheduling horizon. The optimisation problem is solved using the Nondominated Sorting Genetic Algorithm-II (NSGA-II) optimisation method. The results obtained from a real-life UK case study demonstrate that the new methodology can determine optimal, low-cost maintenance schedules in a computationally efficient manner when compared to the corresponding existing company schedules. Daily productivity of maintenance teams in terms of number of jobs completed improved by 26% when the methodology was applied to scheduling in the case study. Given this, the method has the potential to be applied within water utilities and the water utility Welsh Water (Dwr Cymru Welsh Water (DCWW)) is currently implementing it into their systems. Subject multi-objective optimisationplanned maintenance schedulingsewer system To reference this document use: http://resolver.tudelft.nl/uuid:5886c262-1328-4709-b13c-11c49403e094 DOI https://doi.org/10.2166/hydro.2022.149 ISSN 1464-7141 Source Journal of Hydroinformatics, 24 (3), 574-589 Part of collection Institutional Repository Document type journal article Rights © 2022 Sabrina Draude, Ed Keedwell, Z. Kapelan, Rebecca Hiscock Files PDF jh0240574.pdf 846.79 KB Close viewer /islandora/object/uuid:5886c262-1328-4709-b13c-11c49403e094/datastream/OBJ/view