Optimization-based probabilistic decision support for assessing building information modelling (BIM) maturity considering multiple objectives

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dc.authoridWang, Zhuoran/0000-0003-2331-5120
dc.authoridChen, Zhen-Song/0000-0003-4360-5459
dc.authorwosidWang, Zhuoran/GXH-3716-2022
dc.authorwosidChen, Zhen-Song/K-3436-2019
dc.contributor.authorChen, Zhen-Song
dc.contributor.authorWang, Zhuo-Ran
dc.contributor.authorDeveci, Muhammet
dc.contributor.authorDing, Weiping
dc.contributor.authorPedrycz, Witold
dc.contributor.authorSkibniewski, Miroslaw J.
dc.date.accessioned2024-05-19T14:40:53Z
dc.date.available2024-05-19T14:40:53Z
dc.date.issued2024
dc.departmentİstinye Üniversitesien_US
dc.description.abstractThe phase of operation and maintenance (O&M) is the most time-consuming and cost-intensive stage in the project life cycle. However, the potential benefits of Building Information Modeling (BIM) in this phase have not been fully explored, unlike in the design and construction phases. This is particularly evident in the absence of a comprehensive assessment of its application capabilities. In light of this setting, we develop a BIM maturity assessment model (BIM MAM) for the project's O&M phase. The proposed model comprises of an assessment indicator system that facilitates experts in providing individual assessment results, and a collective opinion aggregation method in a probabilistic context based on a multi-objective optimization model that is employed to generate the ultimate collective assessment results. The established multi-objective optimization model for BIM MAM incorporates the influence of human behavior factors on the final results by introducing the fairness concern utility level as an objective. Finally, we take Wuhan Jiangxia Sewage Treatment Plant as a practical case to illustrate the effectiveness and feasibility of the proposed BIM MAM.en_US
dc.description.sponsorshipNational Natural Science Founda-tion of China [72171182, 72031009]en_US
dc.description.sponsorshipThis work was supported by the National Natural Science Founda-tion of China under Grants 72171182 and 72031009.en_US
dc.identifier.doi10.1016/j.inffus.2023.102026
dc.identifier.issn1566-2535
dc.identifier.issn1872-6305
dc.identifier.scopus2-s2.0-85173160469en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.urihttps://doi.org10.1016/j.inffus.2023.102026
dc.identifier.urihttps://hdl.handle.net/20.500.12713/5030
dc.identifier.volume102en_US
dc.identifier.wosWOS:001087926100001en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.relation.ispartofInformation Fusionen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.snmz20240519_kaen_US
dc.subjectDigital Transformationen_US
dc.subjectMaturity Assessment Modelen_US
dc.subjectConstruction Industryen_US
dc.subjectFairness Concernen_US
dc.subjectBi-Objective Optimization Modelen_US
dc.subjectBayesian Bwmen_US
dc.titleOptimization-based probabilistic decision support for assessing building information modelling (BIM) maturity considering multiple objectivesen_US
dc.typeArticleen_US

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