Fifty years of reliability in operations research

Terje Aven, David Rios Insua, Refik Soyer, Xiaoyan Zhu and Enrico Zio

European Journal of Operational Research, 2025, vol. 324, issue 2, 361-381

Abstract: This paper provides an overview of the historical evolution of reliability in the scientific area of operations research. Historical views and future perspectives are specifically offered with regards to reliability modeling and inference, treatment of uncertainty in reliability modelling and analysis, definition of importance measures for identifying those elements of a system which are critical for its reliability, optimization of the design, operation and maintenance of a system with respect to its reliability, adversarial issues, and the growing focus on machine learning for reliability modeling and optimization. The overview and perspectives given are rich but by no means they cover all the great developments and advancements done, nor they point at all still-open issues and coming challenges.

Keywords: Operations research; Reliability; Stochastic process; Statistical inference; Bayesian theory; Aleatory uncertainty; Epistemic uncertainty; Adversarial decision making; Game theory; Importance measures; Optimization; Machine learning (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:eee:ejores:v:324:y:2025:i:2:p:361-381

DOI: 10.1016/j.ejor.2024.09.010

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