Abstract
This paper demonstrates the application of multicriteria decision analysis (MCDA) methodology in a real case study aiming to choose the best rehabilitation intervention of an industrial water main. This methodology is composed of three main stages: problem identification, structuring, and evaluation. Problem structuring, a crucial stage for the outcomes, includes identifying objectives, selecting scenarios within the analysis period, defining problem alternatives, and defining the problematic type. Problem evaluation includes the selection of assessment metrics, selection of the aggregation method, application of the method, and a sensitivity and robustness analysis. Two scenarios, nine assessment metrics, and seven alternatives are established, and two ranking methods (the additive model and ELECTRE III method) are used to compare the alternatives. The results show that the best solution corresponds to building a new pipe and deactivating the existing one, as it significantly reduces the pipe failure risk and O&M costs, whereas the worst solution is always the status quo case, since it is the only alternative that does not improve the system performance, independently of the ranking method and the analyzed scenario.
Highlights
Urban water system (UWS) managers are facing the deterioration of the components of these systems and the need to proceed with rehabilitation in a scenario with limited funds for this purpose [1]
Alternatives A0, A1, and A2 are equivalent in terms of this metric, since they maintain the existing system storage capacity of 50,000 m3
This metric does not vary with the scenarios
Summary
Urban water system (UWS) managers are facing the deterioration of the components of these systems and the need to proceed with rehabilitation in a scenario with limited funds for this purpose [1]. To better use limited funds, utility managers need to prioritize the rehabilitation interventions using criteria envisaging utility sustainability and quality of service [4,5]. The condition assessment [8,9] takes into consideration the dimensions of performance, cost, and risk. This assessment strongly depends on reliable and organized data [10,11]
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.