BIM and procurement data integration in industrialized construction using artificial intelligence

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dc.article.number85632
dc.catalogadoraba
dc.contributor.authorPino Álvarez, Thomas Enrique
dc.contributor.authorBarkokebas, Beda
dc.contributor.authorPrieto Ibáñez, Andrés José
dc.contributor.authorCosta, Dayana Bastos
dc.date.accessioned2025-04-01T13:12:44Z
dc.date.available2025-04-01T13:12:44Z
dc.date.issued2024
dc.description.abstractIndustrialized construction (IC) has experienced significant achievements in the development of innovative construction methods in response to the demands of the construction industry. In this context, building information modeling (BIM) integrates and manages data throughout prefabrication phases (design, bid, and procurement) within an IC project. However, manual tasks such as data transfer between BIM models and enterprise resource planning (ERP) systems result in delays and errors due to the constant change of versions and large data flow between the involved parties. This research proposes the implementation of a novel method based on artificial intelligence (AI) to integrate the required information contained in elements in the BIM model with construction materials databases normally managed by ERP systems to procure and purchase materials in IC enterprises. Using a case study approach, this research presents a workflow with the proposed method whereas the results show that 81.57% of the elements were successfully identified, leading to a 63.47% reduction in the time compared to the manual assignment approach. Despite classifying a considerable percentage of the elements, it was identified that the implemented workflow depends on manual-dependent tasks during the design phase, such as modeling methodologies. This research contributes by providing new methods to improve IC projects and is expected to contribute to future research related to AI-based.
dc.format.extent14 páginas
dc.fuente.origenORCID
dc.identifier.doi10.7764/RIC.00113.21
dc.identifier.eissn0718-5073
dc.identifier.issn0716-2952
dc.identifier.scopusid2-s2.0-85217845042
dc.identifier.urihttps://doi.org/10.7764/RIC.00113.21
dc.identifier.urihttps://repositorio.uc.cl/handle/11534/103064
dc.identifier.wosidWOS:001386360400003
dc.information.autorucEscuela de Ingeniería; Pino Álvarez, Thomas Enrique; 0009-0000-4558-6824; 1065052
dc.information.autorucEscuela de Ingeniería; Barkokebas, Beda; 0000-0002-0054-1320; 1301269
dc.information.autorucEscuela de Ingeniería; Prieto Ibáñez, Andrés José; S/I; 1195435
dc.issue.numero3
dc.language.isoen
dc.nota.accesocontenido completo
dc.revistaRevista Ingeniería de Construcción
dc.rightsacceso abierto
dc.rights.licenseAttribution 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectIndustrialized Construction
dc.subjectNatural Language Processing
dc.subjectArtificial Intelligence
dc.subjectBuilding information modeling
dc.subjectLean construction
dc.subjectERP
dc.subject.ddc620
dc.subject.deweyIngenieríaes_ES
dc.subject.ods09 Industry, innovation and infrastructure
dc.subject.odspa09 Industria, innovación e infraestructura
dc.titleBIM and procurement data integration in industrialized construction using artificial intelligence
dc.title.alternativeIntegración de BIM y datos de aprovisionamiento en la construcción industrializada mediante inteligencia artificial
dc.typeartículo
dc.volumen39
sipa.codpersvinculados1065052
sipa.codpersvinculados1301269
sipa.codpersvinculados1195435
sipa.trazabilidadORCID;2025-03-03
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