Journal of the Chinese Institute of Industrial Engineers · 2001 · 62 citations · 16 references
BusinessIndustrial EngineeringMarkov Decision ProcessesStochastic ModelingUncertainty QuantificationNetwork Flow AlgorithmsNetwork FlowsNetwork OptimizationNetwork ReliabilityReliability ModelingStochastic NetworksMaximum FlowMaximum Flow ProblemsMinimal Cut SetsNetwork Flow ProblemsNetwork Reliability AlgorithmsNetwork Reliability AnalysisStochastic Network FlowsStochastic Network Models
ABSTRACT In a stochastic-flow network, each arc has several capacity levels. Given the system demand d, the reliability of such a network for demand d (i.e., the probability that the maximum flow is not less than d) can be computed in terms of d-MCs. Jane, Lin and Yuan have presented an algorithm to generate all d-MCs in terms of minimal cuts. This article proposes another algorithm, which is based on the more publicly accepted “comparison” method, to evaluate the reliability. To compare such two algorithms, one example is illustrated to show how d-MCs are generated differently. Also, the computational complexity is analyzed.
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Reliability engineering and risk assessment
Applied Ocean Research · 1981 · 522 citations
An Improved Algorithm for Network Reliability
Jessie Abraham · IEEE Transactions on Reliability · 1979 · 392 citations
Emad El-Neweihi, Frank Proschan, Jayaram Sethuraman · Journal of Applied Probability · 1978 · 350 citations
William S. Griffith · Journal of Applied Probability · 1980 · 346 citations