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Abstract: (15 Views)
Emphasis on building resilient infrastructure is essential due to the increasing impact of hazards on society. Studies and actions by water and wastewater companies in this regard play a fundamental role in strengthening the resilience of infrastructure. However, improving these conditions often faces challenges such as competing priorities and resource constraints. The aim of this research is to address this challenge by providing a dynamic method to rank optimal solutions, determine the actual level of different resilience-building solutions, and ultimately, help allocate resources correctly based on the priorities set in order to continue the functioning of the water supply system. In this article, a framework is presented to determine and prioritize optimal solutions to improve the resilience of the Babol city water distribution network under six categories of threats such as flood, earthquake, wear and tear, etc. in two asset categories of reservoir and pipelines using gray relation analysis and scoring by experts and specialists on components derived from the ERASMUS model, using the best-worst method and also considering the weaknesses in the network based on a field visit. The present study is applied in terms of methodology and information collection was carried out through library resources and interviews. The results show that among the 63 proposed solutions to improve the resilience of the bottleneck zone, after analysis and considering the decision-making components of time (with an importance coefficient of 0.22), cost (with a coefficient of 0.07), and performance (with a coefficient of 0.71), four solutions were determined as the options with the highest priority and great importance for this network. This zone requires special attention and the implementation of selected priority solutions to reduce the likelihood of vulnerability, increase resilience, and ultimately help ensure continued operation against hazards.
Keywords: Improving resilience, business continuity, water supply systems, optimal resilience solutions, prioritizing solutions, gray analysis, best-worst method.
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This is an open access article distributed under the terms of the Creative Commons Attribution License (CC-By-NC), which permits use, distribution, and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.
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