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This paper introduces an approach to quantify resilience for the design of systems that can be described as a network.
The uniqueness of this model lies in its ability to quantify resilience by a single numerical index.
Though the concept of resilience has been popular in development studies including, poverty, vulnerability, and food security, it has been challenging to find a sound measure to resilience and how to quantify resilience remains controversial (Alfani et al., 2015; Béné et al., 2016).
As difficult as it is to quantify resilience, your commitment to developing it will help you past most of your most difficult college problems and seemingly insurmountable challenges.
How to quantify resilience is a key question in this context, because without numerical methods, it is "impossible to monitor changes or to show that community resilience has improved" (National Research Council 2012).
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As such, this paper presents a review of recent research articles related to defining and quantifying resilience in various disciplines, with a focus on engineering systems.
The aim of this research is to provide such an insight into currently established and proposed methods for quantifying resilience of infrastructure systems and suggest a methodological framework that effectively responds to the requirements of resilience measuring.
On the other hand, it is proposed that entropy theory constitutes a framework, which better captures the underlying interrelations of systems modules and, therefore, constitutes a more appropriate and effective framework for quantifying resilience of infrastructure systems.
The factor structure of the RS varied between studies, which may indicate that the RS quantifies resilience differently in different age groups; an important limitation to be noted by researchers.
While the resilience of system-of systems (SoSs) depends on the reliability of their constituent systems, traditional reliability approaches cannot adequately quantify their resilience.
The main challenge is to quantify the resilience in early design phases, since there is not much detailed information about system components available at this point.
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