Multiobjective optimization-based decision support for building digital twin maturity measurement

Basit Öğe Kaydı
dc.authoridChen, Zhen-Song/0000-0003-4360-5459
dc.authorwosidChen, Zhen-Song/K-3436-2019
dc.contributor.authorChen, Zhen-Song
dc.contributor.authorChen, Kou-Dan
dc.contributor.authorXu, Ya-Qiang
dc.contributor.authorPedrycz, Witold
dc.contributor.authorSkibniewski, Miroslaw J.
dc.date.accessioned2024-05-19T14:39:41Z
dc.date.available2024-05-19T14:39:41Z
dc.date.issued2024
dc.departmentİstinye Üniversitesien_US
dc.description.abstractThe digital twin (DT) represents a powerful tool for advancing construction industry to provide a cyber- physical integration that enables real-time monitoring of assets and activities and facilitates decision-making. Due to the inherent characteristics of the construction industry and the diverse possibilities with DT, proliferation of building digital twin (BDT) necessitates a comprehensive comprehension of its evolution and the creation of roadmaps. This paper aims to contribute to the formalization and standardization of BDT. It designs a novel assessment framework for the overall maturity measurement of existing BDT projects. The developed BDT maturity model incorporates a collective opinion generation paradigm based on a fairness aware multiobjective optimization model to provide an expert-based evaluation system for evaluating the maturity of BDT projects. The effectiveness and feasibility of the proposed framework have been validated through a case study of an experimental BDT initiative. This paper establishes a generalizable framework for BDT maturity assessment that can offer insights into BDT maturity standards to construction practitioners to create effective strategies for the diffusion, development, and maturation of BDT.en_US
dc.description.sponsorshipNational Natural Science Founda-tion of China [72171182, 72031009]en_US
dc.description.sponsorshipAcknowledgments This work was supported by the National Natural Science Founda-tion of China under Grants 72171182 and 72031009.en_US
dc.identifier.doi10.1016/j.aei.2023.102245
dc.identifier.issn1474-0346
dc.identifier.issn1873-5320
dc.identifier.urihttps://doi.org10.1016/j.aei.2023.102245
dc.identifier.urihttps://hdl.handle.net/20.500.12713/4828
dc.identifier.volume59en_US
dc.identifier.wosWOS:001112333600001en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.language.isoenen_US
dc.publisherElsevier Sci Ltden_US
dc.relation.ispartofAdvanced Engineering Informaticsen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.snmz20240519_kaen_US
dc.subjectBuilding Digital Twinen_US
dc.subjectMaturity Modelen_US
dc.subjectFairness Concernen_US
dc.subjectMultiobjective Optimizationen_US
dc.subjectProbability Distribution Functionen_US
dc.titleMultiobjective optimization-based decision support for building digital twin maturity measurementen_US
dc.typeArticleen_US

Dosyalar

Koleksiyon

WoS İndeksli Yayınlar Koleksiyonu