A new Markov-based model for reliability optimization problems with mixed redundancy strategy

Abdossaber Peiravi, Mostafa Abouei Ardakan and Enrico Zio

Reliability Engineering and System Safety, 2020, vol. 201, issue C

Abstract: This paper revisits the redundancy allocation problem (RAP) from the viewpoint of the mixed redundancy strategy. This powerful strategy has some major weaknesses originated from its complicated formulation. Previously, for estimating the reliability of this strategy a lower bound formulation was introduced. In an attempt to improve the complicated, time-consuming, and imprecise lower bound formulation previously proposed, in this paper, an exact Markov based approach is developed. Being a powerful and robust tool, it is especially advantageous for its short computation time. This is demonstrated by its implementation to solve a well-known benchmark test problem. Based on the results, the new approach finds better solutions with higher reliability values than before, with a significant reduction in the computation time.

Keywords: Redundancy allocation problem; Mixed redundancy strategy; Exact formulation; Continuous time Markov chain; Genetic algorithm (search for similar items in EconPapers)
Date: 2020
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Citations: View citations in EconPapers (21)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:reensy:v:201:y:2020:i:c:s0951832020304889

DOI: 10.1016/j.ress.2020.106987

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