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 in:IEEE transactions on reliability 2024-03, Vol.73 (1), p.49-49
Main Author: Coit, David W.
Format: Article
Language:English
Subjects:
Algorithms
Dynamic programming
Nonlinear programming
Nonlinear systems
Operations research
Optimization
Probability theory
Reliability engineering
Science - general
System reliability
Uncertainty
US Government
User requirements
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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.
ISSN:0018-9529
1558-1721
DOI:10.1109/TR.2024.3355700