Building information modeling - BIM to assist the decision-making process for real estate investments

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dc.creatorRenata Maria Abrantes Baracho Porto
dc.creatorBruno Cesarino Soares
dc.creatorRogério Amaral Bonatti
dc.creatorMarcelo Franco Porto
dc.creatorJosé Ricardo Queiroz Franco
dc.date.accessioned2025-01-22T20:13:41Z
dc.date.accessioned2025-09-08T22:56:24Z
dc.date.available2025-01-22T20:13:41Z
dc.date.issued2019
dc.format.mimetypepdf
dc.identifier.sici1
dc.identifier.urihttps://hdl.handle.net/1843/79411
dc.languageeng
dc.publisherUniversidade Federal de Minas Gerais
dc.relation.ispartofWorld Multi-Conference on Systemics, Cybernetics and Informatics
dc.rightsAcesso Aberto
dc.subjectModelagem de informação da construção
dc.subjectInformação
dc.subjectRecuperação da informação
dc.subject.otherBIM - Building Information Modeling
dc.subject.otherEngenharia Civil
dc.subject.otherSistemas de Informação
dc.titleBuilding information modeling - BIM to assist the decision-making process for real estate investments
dc.typeArtigo de evento
local.citation.epage55
local.citation.issue23
local.citation.spage50
local.description.resumoThis work presents the development of a multicriteria method to evaluate real estate investments based on Building Information Modeling (BIM). Information on possibilities in construction, renovation, expansion, acquisition or rental of buildings is used to enable a decision-making process. The BIM digital models contain building information from planning, execution and asbuilt. The model contains the different representations of top, front view, plants and internal cuts besides the volume. The elements are refined and have the digital representation of data or information of a real estate business project and bring diverse possibilities of analysis. The choice among the available undertakings and the investments to be made is a complex problem that involves relationships between the goals and criteria of each project. The proposed method classifies the undertakings projects using objective criteria based on information automatically obtained from the digital models. It also considers intangible criteria, which are subjective evaluations based on the experience of specialists in the area. This comparative method among project alternatives has proven to be feasible and quite useful, as shown in the case study presented, and it can be further improved by developing a recommender system based on historical data from previous evaluations.
local.publisher.countryBrasil
local.publisher.departmentARQ - DEPARTAMENTO DE TEC ARQUITETURA E URBANISMO
local.publisher.departmentENG - DEPARTAMENTO DE ENGENHARIA TRANSPORTES E GEOTECNIA
local.publisher.initialsUFMG
local.url.externahttps://www.iiis.org/CDs2019/CD2019Summer/papers/SA146LX.pdf

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