Minimizing the Mean Damage for Parallel-Series Systems with Two Failure Modes

We address a non-convex optimization problem involving the minimization of the difference between two symmetric functions which are log convex. Specifically we are interested in minimizing the mean system damage of a parallel-series system composed of a maximal number of identical units, each capabl...

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Bibliographic Details
Published in:Computational optimization and applications 2000-12, Vol.17 (2-3), p.301-301
Main Authors: Kirilyuk, Vladimir, Falk, James E
Format: Article
Language:English
Subjects:
Algorithms
Convex analysis
Failure
Mathematical models
Optimization
Parallel processing
Studies
Online Access:Get full text
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Summary:We address a non-convex optimization problem involving the minimization of the difference between two symmetric functions which are log convex. Specifically we are interested in minimizing the mean system damage of a parallel-series system composed of a maximal number of identical units, each capable of failing in one of two ways. We characterize the solution of the problem, and develop an algorithm to solve large scale versions of it. Numerical results are presented. It is shown that an optimal configuration with n available components may not use all n components. [PUBLICATION ABSTRACT]
ISSN:0926-6003
1573-2894
DOI:10.1023/A:1026510617647