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ID 20749
file
creator
Azaron, Amir
Kato, Kosuke
subject
Reliability optimization
Stochastic networks
Shortest path
Optimal control
NDC
Biology
abstract
A new methodology for the reliability optimization of a k dissimilar-unit non-repairable cold-standby redundant system is introduced in this paper. Each unit is composed of a number of independent components with generalized Erlang distributions of lifetimes arranged in a series-parallel configuration. We also propose an approximate technique to extend the model to the general types of non-constant hazard functions. To evaluate the system reliability, we apply shortest path technique in stochastic networks. The purchase cost of each component is assumed to be an increasing function of its expected lifetime. There are multiple component choices with different distribution parameters available for being replaced with each component of the system. The objective of the reliability optimization problem is to select the best components, from the set of available components, to be placed in the standby system in order to minimize the initial purchase cost of the system, maximize the system MTTF (mean time to failure), minimize the system VTTF (variance of time to failure) and also maximize the system reliability at the mission time. The goal attainment method is used to solve a discrete-time approximation of the original problem.
journal title
OR Spectrum
volume
Volume 29
issue
Issue 2
start page
235
end page
257
date of issued
2007-04
publisher
Springer
issn
0171-6468
ncid
publisher doi
language
eng
nii type
Journal Article
HU type
Journal Articles
DCMI type
text
format
application/pdf
text version
author
rights
Copyright (c) 2007 Springer "The original publication is available at www.springerlin.com"
relation url
department
Graduate School of Engineering



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