History of System Reliability Optimization

System reliability optimization combines the rigorous disciplines of probability theory and optimization. While there are many relevant problem formulations depending on user requirements, a typical problem is to maximize system reliability or minimize a cost rate, by determining the best system str...

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Bibliographic Details
Published inIEEE transactions on reliability Vol. 73; no. 1; p. 49
Main Author Coit, David W.
Format Journal Article
LanguageEnglish
Published New York IEEE 01.03.2024
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects
Algorithms
Dynamic programming
Nonlinear programming
Nonlinear systems
Operations research
Optimization
Probability theory
Reliability engineering
Science - general
System reliability
Uncertainty
US Government
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Summary:System reliability optimization combines the rigorous disciplines of probability theory and optimization. While there are many relevant problem formulations depending on user requirements, a typical problem is to maximize system reliability or minimize a cost rate, by determining the best system structure or architecture and/or maintenance plan, given system-level constraints. These are both practical and difficult problems representing a challenge to analysts and researchers to determine the most effective models and algorithms to produce optimal designs. Throughout the history of reliability engineering, since it has been considered as a formal discipline or science, the system reliability optimization problem has received much attention and been the subject of very meaningful and impressive research. In this paper, there is high-level review and history of system reliability optimization.
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ISSN:0018-9529
1558-1721
DOI:10.1109/TR.2024.3355700