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Abrams, P. Haigh, and J. Comfort (eds.) Stochastic flow networks: How component criticality changes with component reliability.
Dec 1, 1988 · Stochastic flow networks: how component criticality changes with component reliability.
This paper describes how a single Monte Carlo experiment allows one to estimate the sensitivity of the probability that a particular cutset is critical, ...
Network reliability is defined as the probability that at least demand d can be sent successfully through a system with multistate arcs.
Missing: criticality | Show results with:criticality
Aug 12, 2024 · Network reliability NRd is defined as the probability that an SFN can successfully send at least d units of demand from a source to a terminal.
Missing: criticality | Show results with:criticality
In the real world, the system reliability of a stochastic flow network can vary over time. Hence, a critical issue emerges—characterizing the time attribute in ...
Missing: criticality changes
Dec 13, 2022 · Here we propose a Splitting– based Monte Carlo method, using the Marshall–Olkin copula for the case of non independent components. This proposal ...
Missing: criticality | Show results with:criticality
Aug 22, 2024 · First, two d- MP updating algorithms are used instead of repeated searching of the d- MPs when the maximum states of the components are changed.
We suggest four new measures of importance for repairable multistate systems based on the classical Birnbaum measure. Periodic component life cycles and ...
It has been studied for the stochastic flow network problem by Botev et al. [5] . The methods based on bounds derive from a well-known technique due to George S ...