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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Main Author: Jerzy Rosłon
Format: Article
Language:English
Published: MDPI AG 2022-02-01
Series:Materials
Subjects:
Online Access:https://www.mdpi.com/1996-1944/15/4/1282
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author Jerzy Rosłon
author_facet Jerzy Rosłon
author_sort Jerzy Rosłon
collection DOAJ
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 doaj.art-886aeb58f3c040719c7946d80d4af47b2023-11-23T20:50:53ZengMDPI AGMaterials1996-19442022-02-01154128210.3390/ma15041282Materials and Technology Selection for Construction Projects Supported with the Use of Artificial IntelligenceJerzy Rosłon0Civil Engineering Faculty, Warsaw University of Technology, Armii Ludowej 16, 00-637 Warszawa, PolandThe 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.https://www.mdpi.com/1996-1944/15/4/1282materialsoptimizationvalue engineeringmetaheuristicartificial intelligence
spellingShingle Jerzy Rosłon
Materials and Technology Selection for Construction Projects Supported with the Use of Artificial Intelligence
Materials
materials
optimization
value engineering
metaheuristic
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 materials
optimization
value engineering
metaheuristic
artificial intelligence
url https://www.mdpi.com/1996-1944/15/4/1282
work_keys_str_mv AT jerzyrosłon materialsandtechnologyselectionforconstructionprojectssupportedwiththeuseofartificialintelligence