Maintenance resources optimization applied to a manufacturing system

dc.creatorde Castro, HF
dc.creatorCavalca, KL
dc.date2006
dc.dateAPR
dc.date2014-11-19T11:09:01Z
dc.date2015-11-26T18:02:43Z
dc.date2014-11-19T11:09:01Z
dc.date2015-11-26T18:02:43Z
dc.date.accessioned2018-03-29T00:44:27Z
dc.date.available2018-03-29T00:44:27Z
dc.identifierReliability Engineering & System Safety. Elsevier Sci Ltd, v. 91, n. 4, n. 413, n. 420, 2006.
dc.identifier0951-8320
dc.identifierWOS:000235506500005
dc.identifier10.1016/j.ress.2005.02.004
dc.identifierhttp://www.repositorio.unicamp.br/jspui/handle/REPOSIP/53079
dc.identifierhttp://www.repositorio.unicamp.br/handle/REPOSIP/53079
dc.identifierhttp://repositorio.unicamp.br/jspui/handle/REPOSIP/53079
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/1292316
dc.descriptionThis 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. (c) 2005 Elsevier Ltd. All rights reserved.
dc.description91
dc.description4
dc.description413
dc.description420
dc.languageen
dc.publisherElsevier Sci Ltd
dc.publisherOxford
dc.publisherInglaterra
dc.relationReliability Engineering & System Safety
dc.relationReliab. Eng. Syst. Saf.
dc.rightsfechado
dc.rightshttp://www.elsevier.com/about/open-access/open-access-policies/article-posting-policy
dc.sourceWeb of Science
dc.subjectgenetic algorithms
dc.subjectavailability
dc.subjectredundancy optimization
dc.subjectmaintenance resources
dc.subjectSeries-parallel Systems
dc.subjectGenetic Algorithms
dc.subjectReliability Optimization
dc.subjectRedundancy Optimization
dc.subjectMultistate System
dc.subjectDesign
dc.subjectAllocation
dc.titleMaintenance resources optimization applied to a manufacturing system
dc.typeArtículos de revistas


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