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A systematic literature review on modern methods of construction in building: An integrated approach using machine learning

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A systematic literature review on modern methods of construction in building: An integrated approach using machine learning

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dc.contributor.author Sánchez-Garrido, Antonio J. es_ES
dc.contributor.author Navarro, Ignacio J. es_ES
dc.contributor.author García, José es_ES
dc.contributor.author Yepes, V. es_ES
dc.date.accessioned 2024-06-03T18:17:07Z
dc.date.available 2024-06-03T18:17:07Z
dc.date.issued 2023-08-15 es_ES
dc.identifier.uri http://hdl.handle.net/10251/204648
dc.description.abstract [EN] The concerns surrounding sustainability, alternative energies, and lifestyle changes due to the pandemic have resulted in a surge in the manufacturing of buildings utilizing Modern Methods of Construction (MMC), particularly in housing. These methods involve using new technologies as smart building alternatives to traditional construction. Against the backdrop of Industry 4.0, there is an urgent need for a systematic literature review of MMCs in building construction to classify them, detect trends and gaps, and outline future research areas. This study analyzed 633 publications from 1975 to 2022 and grouped them into six thematic clusters and 18 subcategories, using a novel mixed methodology incorporating natural language processing (NLP) analysis. The qualitative analysis of the literature indicates that research in the field is dominated by tools and technologies integrated into Construction 4.0 and the industry's management aspects. However, this review also highlights several gaps in research, including the need for more application of MMC to building retrofitting and the need for approaches to improve the built environment through the new paradigm of regenerative design. The high-level mapping and characterization of the bibliographic corpus's conceptual structure and the classical evaluation process based on systematic literature review (SLR) have provided a more profound and rigorous state-of-the-art understanding. es_ES
dc.description.sponsorship Grant PID2020-117056RB-I00 funded by MCIN/AEI/10.13039/501100011033 and by "ERDF A way of making Europe". es_ES
dc.language Inglés es_ES
dc.publisher Elsevier es_ES
dc.relation.ispartof Journal of Building Engineering es_ES
dc.rights Reconocimiento - No comercial - Sin obra derivada (by-nc-nd) es_ES
dc.subject Modern methods of construction es_ES
dc.subject Industrialized buildings es_ES
dc.subject Emerging technologies es_ES
dc.subject Construction industry es_ES
dc.subject Machine learning es_ES
dc.subject Systematic literature review es_ES
dc.subject.classification INGENIERIA DE LA CONSTRUCCION es_ES
dc.title A systematic literature review on modern methods of construction in building: An integrated approach using machine learning es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1016/j.jobe.2023.106725 es_ES
dc.relation.projectID info:eu-repo/grantAgreement/AGENCIA ESTATAL DE INVESTIGACION//PID2020-117056RB-I00//OPTIMIZACION HIBRIDA DEL CICLO DE VIDA DE PUENTES Y ESTRUCTURAS MIXTAS Y MODULARES DE ALTA EFICIENCIA SOCIAL Y MEDIOAMBIENTAL BAJO PRESUPUESTOS RESTRICTIVOS / es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Escuela Técnica Superior de Ingenieros de Caminos, Canales y Puertos - Escola Tècnica Superior d'Enginyers de Camins, Canals i Ports es_ES
dc.description.bibliographicCitation Sánchez-Garrido, AJ.; Navarro, IJ.; García, J.; Yepes, V. (2023). A systematic literature review on modern methods of construction in building: An integrated approach using machine learning. Journal of Building Engineering. 73. https://doi.org/10.1016/j.jobe.2023.106725 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.1016/j.jobe.2023.106725 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 73 es_ES
dc.identifier.eissn 2352-7102 es_ES
dc.relation.pasarela S\493571 es_ES
dc.contributor.funder AGENCIA ESTATAL DE INVESTIGACION es_ES
dc.contributor.funder European Regional Development Fund es_ES
dc.contributor.funder Universitat Politècnica de València es_ES
dc.subject.ods 09.- Desarrollar infraestructuras resilientes, promover la industrialización inclusiva y sostenible, y fomentar la innovación es_ES


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