Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/124106
DC FieldValueLanguage
dc.contributor.authorCacereño, Andrésen_US
dc.contributor.authorGreiner, Daviden_US
dc.contributor.authorGalván, Blasen_US
dc.date.accessioned2023-07-31T10:43:07Z-
dc.date.available2023-07-31T10:43:07Z-
dc.date.issued2023en_US
dc.identifier.issn1432-7643en_US
dc.identifier.otherScopus-
dc.identifier.urihttp://hdl.handle.net/10553/124106-
dc.description.abstractWhen projecting and building new industrial facilities, getting integrated design alternatives and maintenance strategies are of critical importance to achieve the physical assets optimal performance, which is needed to be competitive in the actual global markets. Coupling Evolutionary Algorithms with Discrete Event Simulation has been explored both in relation to systems design and their maintenance strategy. However, it was not simultaneously considered when both the corrective and the preventive maintenance—consisting of achieving the optimum period of time to carry out a preventive maintenance activity—are taken into account before being considered by the authors of the present paper. This work couples Multi-objective Evolutionary Algorithms with Discrete Event Simulation in order to enhance the knowledge and efficiency of the methodology presented, which consists of exploring and optimizing simultaneously systems design alternatives and their preventive maintenance strategies. The aim consists of finding the best set of non-dominated solutions by using the system availability (first maximized objective function) with taking into consideration associated operational cost (second minimized objective function), while automatically selecting the system devices. Each solution proposed by the Multi-Objective Evolutionary Algorithm is analyzed by using Discrete Event Simulation in a procedure that looks at the effect of including periodic preventive maintenance activities all along the mission time. An industrial application case study is solved, and a comparison of the performance of five state-of-the-art and three more recently developed Multi-objective Evolutionary Algorithms is handled; moreover, the gap in the literature reviewed about the analysis regarding the effect of the discrete event simulation sampling size is faced with useful insights about the synergies of Multi-objective Evolutionary Algorithms and Discrete Event Simulation. Finally, the methodology is expanded to more complex systems which are successfully solved.en_US
dc.languagespaen_US
dc.relation.ispartofSoft Computingen_US
dc.sourceSoft Computing [ISSN 1432-7643], (Enero 2023)en_US
dc.subject120302 Lenguajes algorítmicosen_US
dc.subject.otherAvailabilityen_US
dc.subject.otherMulti-Objective Evolutionary Algorithmsen_US
dc.subject.otherOptimum Designen_US
dc.subject.otherPreventive Maintenanceen_US
dc.titleSimultaneous optimization of design and maintenance for systems using multi-objective evolutionary algorithms and discrete simulationen_US
dc.typeinfo:eu-repo/semantics/Articleen_US
dc.typeArticleen_US
dc.identifier.doi10.1007/s00500-023-08922-2en_US
dc.identifier.scopus85165317738-
dc.contributor.orcid0000-0002-3947-185X-
dc.contributor.orcid0000-0002-4132-7144-
dc.contributor.orcidNO DATA-
dc.contributor.authorscopusid55027233000-
dc.contributor.authorscopusid56268125800-
dc.contributor.authorscopusid8704390300-
dc.identifier.eissn1433-7479-
dc.investigacionIngeniería y Arquitecturaen_US
dc.type2Artículoen_US
dc.utils.revisionen_US
dc.date.coverdateJulio 2023en_US
dc.identifier.ulpgcen_US
dc.contributor.buulpgcBU-INGen_US
dc.description.sjr0,81
dc.description.jcr4,1
dc.description.sjrqQ2
dc.description.jcrqQ2
dc.description.scieSCIE
dc.description.miaricds10,9
item.fulltextCon texto completo-
item.grantfulltextopen-
crisitem.author.deptGIR SIANI: Computación Evolutiva y Aplicaciones-
crisitem.author.deptIU Sistemas Inteligentes y Aplicaciones Numéricas-
crisitem.author.deptGIR SIANI: Computación Evolutiva y Aplicaciones-
crisitem.author.deptIU Sistemas Inteligentes y Aplicaciones Numéricas-
crisitem.author.deptDepartamento de Ingeniería Civil-
crisitem.author.deptGIR SIANI: Computación Evolutiva y Aplicaciones-
crisitem.author.deptIU Sistemas Inteligentes y Aplicaciones Numéricas-
crisitem.author.orcid0000-0002-3947-185X-
crisitem.author.orcid0000-0002-4132-7144-
crisitem.author.parentorgIU Sistemas Inteligentes y Aplicaciones Numéricas-
crisitem.author.parentorgIU Sistemas Inteligentes y Aplicaciones Numéricas-
crisitem.author.parentorgIU Sistemas Inteligentes y Aplicaciones Numéricas-
crisitem.author.fullNameCacereño Ibáñez, Andrés-
crisitem.author.fullNameGreiner Sánchez, David Juan-
crisitem.author.fullNameGalvan Gonzalez,Blas Jose-
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