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dc.contributor.authorTorrado, Nuria
dc.contributor.authorArriaza Gómez, Antonio Jesús 
dc.contributor.authorNavarro, Jorge
dc.contributor.otherEstadística e Investigación Operativaes_ES
dc.date.accessioned2024-01-23T11:39:44Z
dc.date.available2024-01-23T11:39:44Z
dc.date.issued2021
dc.identifier.issn0951-8320
dc.identifier.urihttp://hdl.handle.net/10498/30208
dc.description.abstractThe present work studies the effect of redundancies on the reliability of coherent systems formed by modules. Different redundancies at components’ level versus redundancies at modules’ level are investigated, including active and standby redundancies. For that, a new model is presented. This model takes into account the dependence among the components, as well as, the dependence among the modules of the system. In both cases, the dependence structure is modeled by copula functions. Several results are provided to compare systems consisting of heterogeneous components. The comparisons are distribution-free with respect to the components. In particular, we consider the cases when the components in the modules are independent and connected (or not) in series, and when the components are dependent within the modules. In both cases, it is assumed that the modules can be dependent. Furthermore, the case in which the components in each module are identically distributed (dependent or independent) is also considered. We illustrate the theoretical results with several examples.es_ES
dc.formatapplication/pdfes_ES
dc.language.isoenges_ES
dc.publisherElsevieres_ES
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.sourceReliability Engineering and System Safety 213, 107694.es_ES
dc.subjectReliability Hierarchical system structurees_ES
dc.subjectSystem/modular/component redundancyes_ES
dc.subjectStochastic comparisonses_ES
dc.subjectOptimal component allocationes_ES
dc.subjectCopulases_ES
dc.titleA study on multi-level redundancy allocation in coherent systems formed by moduleses_ES
dc.typejournal articlees_ES
dc.rights.accessRightsopen accesses_ES
dc.identifier.doi10.1016/j.ress.2021.107694
dc.relation.projectIDinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/MTM2017-89577-P/ES/ORDENACIONES ESTOCASTICAS APLICADAS A LOS SEGUROS, LAS FINANZAS Y LA FIABILIDAD DE SISTEMAS/ es_ES
dc.relation.projectIDinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2019-108079GB-C22/ES/NUEVOS METODOS ECONOMETRICOS PARA PREDICCION MACROECONOMICA Y ANALISIS DE POLITICAS ECONOMICAS/ es_ES
dc.relation.projectIDinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2019-103971GB-I00/ES/ORDENACIONES ESTOCASTICAS BAJO DEPENDENCIA: TEORIA, INFERENCIA Y APLICACIONES/ es_ES
dc.type.hasVersionVoRes_ES


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Attribution-NonCommercial-NoDerivatives 4.0 Internacional
This work is under a Creative Commons License Attribution-NonCommercial-NoDerivatives 4.0 Internacional