Maintenance resources optimization applied to a manufacturing system

Fiori de Castro, Hélio and Katia Lucchesi Cavalca

Reliability Engineering and System Safety, 2006, vol. 91, issue 4, 413-420

Abstract: This paper presents an availability optimization of an engineering system assembled in a series configuration, with redundancy of units and corrective maintenance resources as optimization parameters. The aim is to reach maximum availability, considering as constraints installation and corrective maintenance costs, weight and volume. The optimization method uses a Genetic Algorithm based on biological concepts of species evolution. It is a robust method, as it does not converge to a local optimum. It does not require the use of differential calculus, thus facilitating computational implementation. Results indicate that the methodology is suitable to solve a wide range of engineering design problems involving allocation of redundancies and maintenance resources.

Keywords: Genetic algorithms; Availability; Redundancy optimization; Maintenance resources (search for similar items in EconPapers)
Date: 2006
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Citations: View citations in EconPapers (6)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:reensy:v:91:y:2006:i:4:p:413-420

DOI: 10.1016/j.ress.2005.02.004

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