Measuring and optimizing system reliability: a stochastic programming approach

We propose a computational framework to quantify (measure) and to optimize the reliability of complex systems. The approach uses a graph representation of the system that is subject to random failures of its components (nodes and edges). Under this setting, reliability is defined as the probability...

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Bibliographic Details
Published in:	TOP Vol. 28; no. 3; pp. 626 - 645
Main Authors:	Pulsipher, Joshua L., Zavala, Victor M.
Format:	Journal Article
Language:	English
Published:	Berlin/Heidelberg Springer Berlin Heidelberg 01.10.2020 Springer Nature B.V
Subjects:	Business and Management Complex systems Component reliability Economic Theory/Quantitative Economics/Mathematical Methods Economics Failure Finance Graph representations Graphical representations Industrial and Production Engineering Insurance Management Mixed integer Nodes Operations Research/Decision Theory Optimization Original Paper Probability theory Statistics for Business Stochastic programming System reliability Design 90B15 Network 90C15 Topology Reliability 68M15 68R10
ISSN:	1134-5764, 1863-8279
Online Access:	Get full text
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