The four Rs performance indicators of water distribution networks

Gunawan, Indra; Schultmann, Frank; Zarghami, Seyed Ashkan

doi:10.1108/ijqrm-11-2016-0203

Cited by 21 publications

(8 citation statements)

References 43 publications

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“…The reliability values are shown in Figure 2, ranging from 0.914 to 0.978. The corresponding reliability value of an edge refers to the probability that the edge remains functional at any given time (Gunawan et al , 2017). We identify the values of centrality by obtaining the betweenness centrality of edges using igraph , an open source software package capable of calculating various structural properties of networks (Csardi and Nepusz, 2006).…”

Section: Applicationmentioning

confidence: 99%

A fuzzy-based vulnerability assessment model for infrastructure networks incorporating reliability and centrality

Zarghami

Gunawan

2019

ECAM

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Purpose The purpose of this paper is to attempt to shift away from an exclusive probabilistic viewpoint or a pure network theory-based perspective for vulnerability assessment of infrastructure networks (INs), toward an integrated framework that accounts for joint considerations of the consequences of component failure as well as the component reliability. Design/methodology/approach This work introduces a fuzzy inference system (FIS) model that deals with the problem of vulnerability analysis by mapping reliability and centrality to vulnerability. In the presented model, reliability and centrality are first fuzzified, then 16 different rules are defined and finally, a defuzzification process is conducted to obtain the model output, termed the vulnerability score. The FIS model developed herein attempts to explain the linkage between reliability and centrality so as to evaluate the degree of vulnerability for INs elements. Findings This paper compared the effectiveness of the vulnerability score in criticality ranking of the components against the conventional vulnerability analysis methods. Comparison of the output of the proposed FIS model with the conventional vulnerability indices reveals the effectiveness of the vulnerability score in identifying the criticality of components. The model result showed the vulnerability score decreases by increasing reliability and decreasing centrality. Practical implications Two key practical implications for vulnerability analysis of INs can be drawn from the suggested FIS model in this research. First, the maintenance strategy based on the vulnerability analysis proposed herein will provide an expert facilitator that helps infrastructure utilities to identify and prioritize the vulnerabilities. The second practical implication is especially valuable for designing an effective risk management framework, which allows for least cost decisions to be made for the protection of INs. Originality/value As part of the first contribution, we propose a novel fuzzy-based vulnerability assessment model in building a qualitative and quantitative picture of the vulnerability of INs. The second contribution is especially valuable for vulnerability analysis of INs by virtue of offering a key to understanding the component vulnerability principle as being constituted by the component likely behavior as well as the component importance in the network.

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Section: Applicationmentioning

confidence: 99%

A fuzzy-based vulnerability assessment model for infrastructure networks incorporating reliability and centrality

Zarghami

Gunawan

2019

ECAM

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“…Therefore, as suggested by Gunawan et al . (), further attempts should be made to reproduce the behaviour of the real‐world WDNs and to take a system‐level view for modelling and analysing the complex interactions and feedback loops that govern the counter‐intuitive behaviour of WDNs. Second, a large number of complex problems such as planning, maintenance, scarcity and security are associated with WSDNs. As noted in the preceding subsection, stand‐alone use of SD might not be appropriate in addressing these problems; thus, it should be complemented with other methodologies (e.g.…”

Section: Conclusion and Research Directionsmentioning

confidence: 99%

System Dynamics Modelling Process in Water Sector: a Review of Research Literature

2018

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System dynamics (SD) approach is a framework for reproducing the behaviour of the real systems. This approach has demonstrated a proven capability in modelling the dynamic interactions among the factors affecting the behaviour of complex systems and therefore can be used by researchers and policymakers as a useful decision tool. Recently, many researchers have devoted significant efforts in adopting the SD modelling technique in water sector, where complex interactions and feedback loops govern the behaviour of the system. This paper presents a comprehensive literature review of scholarly papers in the water sector on the development of the SD models followed by discussion on different steps of the modelling process. A discussion of each step is accompanied by the water sector examples, exemplified in the existing literature. The paper also discusses the advantages and disadvantages of using system dynamics in the water sector and provides directions for future research in this field. © 2018 John Wiley & Sons, Ltd.

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“…These studies take into consideration factors such as failures due to demand variation, undersized pipes, storage capacity, insufficient pressure or a combination of these factors (Zhuang et al , 2013). However, due to the complex interactions among a large number of subsystems and components, the exclusive hydraulic analysis of WDNs just partially describes the network performance (Gunawan et al , 2017). On this premise, the topological vulnerability analysis, as a complementary approach, provides a robust model, thereby assessing the vulnerability of WDNs more accurately (Yazdani et al , 2011).…”

Section: Introductionmentioning

confidence: 99%

Entropy of centrality values for topological vulnerability analysis of water distribution networks

Zarghami

Gunawan

Schultmann

2019

BEPAM

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Purpose The increased complexity of water distribution networks (WDNs) emphasizes the importance of studying the relationship between topology and vulnerability of these networks. However, the few existing studies on this subject measure the vulnerability at a specific location and ignore to quantify the vulnerability as a whole. The purpose of this paper is to fill this gap by extending the topological vulnerability analysis further to the global level. Design/methodology/approach This paper introduces a two-step procedure. In the first step, this work evaluates the degree of influence of a node by employing graph theory quantities. In the second step, information entropy is used as a tool to quantify the global vulnerability of WDNs. Findings The vulnerability analysis results showed that a network with uniformly distributed centrality values exhibits a lower drop in performance in the case of partial failure of its components and therefore is less vulnerable. In other words, the failure of a highly central node leads to a significant loss of performance in the network. Practical implications The vulnerability analysis method, developed in this work, provides a decision support tool to implement a cost-effective maintenance strategy, which relies on identifying and prioritizing the vulnerabilities, thereby reducing expenditures on maintenance activities. Originality/value By situating the research in the entropy theory context, for the first time, this paper demonstrates how heterogeneity and homogeneity of centrality values measured by the information entropy can be interpreted in terms of the network vulnerability.

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The four Rs performance indicators of water distribution networks

Cited by 21 publications

References 43 publications

A fuzzy-based vulnerability assessment model for infrastructure networks incorporating reliability and centrality

A fuzzy-based vulnerability assessment model for infrastructure networks incorporating reliability and centrality

System Dynamics Modelling Process in Water Sector: a Review of Research Literature

Entropy of centrality values for topological vulnerability analysis of water distribution networks

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