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dc.contributor.authorOrozco, Francisco
dc.coverage.spatialMéxico
dc.creatorFRANCISCO ALEJANDRO OROZCO ARGOTE;308495
dc.date.accessioned2018-04-16T16:21:00Z
dc.date.available2018-04-16T16:21:00Z
dc.date.issued2018-08
dc.identifier.citationPoshdar, M., González, V.A., Raftery, G.M., Orozco, F., Cabrera-Guerrero, G.G.es_ES, en_US
dc.identifier.issn0926-5805
dc.identifier.otherCampus Guadalajaraes_ES, en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12552/4556
dc.identifier.urihttp://dx.doi.org/10.1016/j.autcon.2018.03.025
dc.description.abstractThe use of buffers as a production strategy entails establishing a balance between theory and practice. In the complex environment of construction projects, this balance establishment requires an optimization process. It involves multiple criteria necessary to project success. So far, the heuristics and analytics developed, either fail to provide a clear logic to solve the multi-objective problem or revolve only around the mathematical solutions. This research proposes a Multi-objective Probabilistic-Based Buffer Allocation method (MPBAL) based on a goal-seeking optimization approach that uses a visual presentation of the mathematical optimization results to involve the preference of the project decision-makers in the final solution. MPBAL was tested against the records of a bridge construction project. The results were compared to the findings from a numerical analysis obtained by an extensive Monte Carlo study. The comparison indicated the high quality of MPBAL optimization analysis, while it utilizes an approximate combinatorial analytic method to avoid the errors typical of the numerical analysis. © 2018es_ES, en_US
dc.description.statementofresponsibilityInvestigadoreses_ES, en_US
dc.description.statementofresponsibilityEstudiantes
dc.description.statementofresponsibilityMaestros
dc.description.tableofcontentsIngenieríaes_ES, en_US
dc.languageIngléses_ES, en_US
dc.publisherElsevier B.V.es_ES, en_US
dc.relationVersión del editores_ES, en_US
dc.relation.ispartofREPOSITORIO SCRIPTAes_ES, en_US
dc.relation.ispartofREPOSITORIO NACIONAL CONACYTes_ES, en_US
dc.relation.ispartofOPENAIREes_ES, en_US
dc.rightsAcceso Embargadoes_ES, en_US
dc.rights.urihttp://creativecommons.org/about/cc0/es_ES, en_US
dc.rights.urihttp://www.sherpa.ac.uk/romeo/search.php?id=30&la=es&fIDnum=|&mode=advanced&format=full
dc.sourceAutomation in Construction
dc.subjectBuffers
dc.subjectConstruction scheduling
dc.subjectNetwork analysis
dc.subjectDecision making
dc.subjectElectric network analysis
dc.subjectFunctionally graded materials
dc.subjectIndium compounds
dc.subjectNumerical analysis
dc.subjectNumerical methods
dc.subjectOptimization
dc.subjectRailroad car buffers
dc.subjectConstruction projects
dc.subjectConstruction schedules
dc.subjectConstruction scheduling
dc.subjectMathematical optimizations
dc.subjectMathematical solutions
dc.subjectMulti-objective problem
dc.subjectOptimization analysis
dc.subjectQuality control
dc.subject.classificationINGENIERÍA Y TECNOLOGÍAes_ES, en_US
dc.titleA multi-objective probabilistic-based method to determine optimum allocation of time buffer in construction scheduleses_ES, en_US
dc.typeArtículoes_ES, en_US


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