Assessment of a decision-making model for monitoring the success of a project for smart buildings

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dc.contributor.authorAmhaimedi, Serag
dc.contributor.authorNaimi, Sepanta
dc.contributor.authorAlsallami, Sura
dc.date.accessioned2023-01-24T09:45:46Z
dc.date.available2023-01-24T09:45:46Z
dc.date.issued2023en_US
dc.departmentEnstitüler, Lisansüstü Eğitim Enstitüsü, İnşaat Mühendisliği Ana Bilim Dalıen_US
dc.description.abstractObjective: To express the usage of intelligent concepts in the architectural building construction field that are primarily concerned with reducing building energy use. Improved energy-saving methods and the use of environmentally friendly design principles are essential in this field. This type of managerial decision-making is necessary for the success of these types of projects. Methods: monitoring the performance of intelligent buildings use the cost variance (CV) and schedule variation as standard metrics to track the progress of a project based on the save energy concept. Also, this research conducted a comparative study on Building Information Modelling (BIM) and (MCDM) decision-making limitations as presented in the article. Analysis: the conventional technique, on the other hand, is unable to offer data on variance from typical performance levels. The main point based on Delphi results of construction cost variables has been observed 19 effective factors. Finding and Novelty: The RII observed that the most effective aspects of an intelligent building are the number of floors in the building, the kind of structural design, and the size of the shadow cast on the surface of the building. The Multi-Criteria Decision Maker (MCDM) observed significant differences in planned value (PV) and actual value (AC) results. In addition, as a result of the current approach, it is possible to track project costs and timelines more precisely.en_US
dc.identifier.citationAmhaimedi, S., Naimi, S., Alsallami, S. (2023). Assessment of a decision-making model for monitoring the success of a project for smart buildings. Civil Engineering Journal, 9(1), 127-142.en_US
dc.identifier.endpage142en_US
dc.identifier.issn2676-6957
dc.identifier.issue1en_US
dc.identifier.scopus2-s2.0-85145616144
dc.identifier.scopusqualityQ1
dc.identifier.startpage127en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12939/3192
dc.identifier.volume9en_US
dc.identifier.wosWOS:000911064700002
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.institutionauthorAmhaimedi, Serag
dc.institutionauthorNaimi, Sepanta
dc.institutionauthorAlsallami, Sura
dc.language.isoen
dc.publisherSalehan Institute of Higher Educationen_US
dc.relation.ispartofCivil Engineering Journal (Iran)
dc.relation.isversionof10.28991/CEJ-2023-09-01-010en_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - İdari Personel ve Öğrencien_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectIntelligent Buildingen_US
dc.subjectMATLAB Codeen_US
dc.subjectMCDMen_US
dc.subjectMulti-Criteria Decision Makeren_US
dc.titleAssessment of a decision-making model for monitoring the success of a project for smart buildings
dc.typeArticle

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