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Materials and Technology Selection for Construction Projects Supported with the Use of Artificial Intelligence

The choice of material solutions and the appropriate technology for the execution of works have a significant impact on the success of construction projects. The earlier in the investment cycle of a project, the greater the possibility of improving the project’s success indicators. The currently use...

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Detalles Bibliográficos
Autor principal: Rosłon, Jerzy
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8877507/
https://www.ncbi.nlm.nih.gov/pubmed/35207823
http://dx.doi.org/10.3390/ma15041282
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author Rosłon, Jerzy
author_facet Rosłon, Jerzy
author_sort Rosłon, Jerzy
collection PubMed
description The choice of material solutions and the appropriate technology for the execution of works have a significant impact on the success of construction projects. The earlier in the investment cycle of a project, the greater the possibility of improving the project’s success indicators. The currently used planning methods assume late integration of schedules with material and technological solutions. This limits the possibility of optimizing construction projects. The author proposed a new approach. The new method is based on the value engineering principles. The article presents a computational model supported by a case study—construction of an office building. Thanks to the use of artificial intelligence and metaheuristic algorithms, the economic results of construction projects have improved. This new method can help construction managers select materials and technologies in a way that will improve project parameters.
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spelling pubmed-88775072022-02-26 Materials and Technology Selection for Construction Projects Supported with the Use of Artificial Intelligence Rosłon, Jerzy Materials (Basel) Article The choice of material solutions and the appropriate technology for the execution of works have a significant impact on the success of construction projects. The earlier in the investment cycle of a project, the greater the possibility of improving the project’s success indicators. The currently used planning methods assume late integration of schedules with material and technological solutions. This limits the possibility of optimizing construction projects. The author proposed a new approach. The new method is based on the value engineering principles. The article presents a computational model supported by a case study—construction of an office building. Thanks to the use of artificial intelligence and metaheuristic algorithms, the economic results of construction projects have improved. This new method can help construction managers select materials and technologies in a way that will improve project parameters. MDPI 2022-02-09 /pmc/articles/PMC8877507/ /pubmed/35207823 http://dx.doi.org/10.3390/ma15041282 Text en © 2022 by the author. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Rosłon, Jerzy
Materials and Technology Selection for Construction Projects Supported with the Use of Artificial Intelligence
title Materials and Technology Selection for Construction Projects Supported with the Use of Artificial Intelligence
title_full Materials and Technology Selection for Construction Projects Supported with the Use of Artificial Intelligence
title_fullStr Materials and Technology Selection for Construction Projects Supported with the Use of Artificial Intelligence
title_full_unstemmed Materials and Technology Selection for Construction Projects Supported with the Use of Artificial Intelligence
title_short Materials and Technology Selection for Construction Projects Supported with the Use of Artificial Intelligence
title_sort materials and technology selection for construction projects supported with the use of artificial intelligence
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8877507/
https://www.ncbi.nlm.nih.gov/pubmed/35207823
http://dx.doi.org/10.3390/ma15041282
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