Maintenance resources optimization applied to a manufacturing system

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• 作者：Hé ; lio Fiori de Castro and Katia Lucchesi Cavalca
• 关键词：Genetic algorithms ; Availability ; Redundancy optimization ; Maintenance resources
• 刊名：Reliability Engineering and System Safety
• 出版年：2006
• 出版时间：April 2006
• 年：2006
• 卷：91
• 期：4
• 页码：413-420
• 全文大小：202 K

文摘

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.