Among the main concerns of water companies is to maintain the optimal performance of pipes in Water Distribution Networks (WDNs); this is achieved by activities such as renewal works, maintenance actions, pressure management, and other improvement operations. Accordingly, determining the risk associated with pipes is useful when planning such renewal works. In this study, a model is developed to determine a Pipe Renewal Strategy (PRS) based on the Risk Components (RCs) of each pipe. Hence, comprehensive criteria relating to pipe characteristics are assessed to determine the RCs. The developed model is based on a fuzzybased, multi-criteria decision-making method, known as RC-WDSR (Risk Component-based Water Distribution System Rehabilitation). This is an improved version of the WDSR model, which was presented in 2018 by the authors of this study. To investigate the accuracy of the analysis of this model, two known WDNs -Anytown and Two-loop -were examined. The results indicate that the PRSs determined for the Anytown network reflects the pipe renewal priorities obtained from the WDSR model. Furthermore, in the Two-loop network, the PRSs obtained corresponded with the technical conditions of the pipes. Hence, it reveals that the results of the RC-WDSR are reliable when determining PRSs in WDNs.
Among the most important decisions in water companies are planning the Maintenance-Rehabilitation Works (MRWs) of water pipelines. Since the MRWs are costly, it is essential to use the collective decisions of an expert team for planning these works. However, the effectiveness of these group decisions is not very clear and has been less considered in previous studies. Hence, the main objective of this research is to assess the effectiveness of these collective decisions. For this purpose, the MRWs of water pipes are determined based on two methods. In the first, the collective decision of experts is omitted, and in the second one, these decisions are considered. Finally, the results obtained from these methods are compared. The method used in this work for collective decisions is based on the nominal group technique. Furthermore, since there is deep uncertainty in water network data as well as hesitation in the group decisions, a qualitative (fuzzy) risk-based group decision-making model is developed in this research. The water pipelines studied in this work, as the case study, are addressed to pipes, which have been proposed by water companies in the six provinces of Iran. The MRWs of these pipes are determined, first, using the collective decision of 76 experts in these water companies; and then, without this group decision making. The results of comparing these methods indicated that group decisions do not have a significant effect on prioritizing water pipelines for the MRWs. While, in determining the renovation strategies of pipes, the viewpoints of experts could have a decisive effect on the results. Furthermore, it was found that increasing the number of decision criteria could lead to more realistic results; whereas, the number of assessed pipelines as well as the number of decision makers does not have an obvious effect on the results.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.