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Digital twin framework to enhance facility management for relocatable modular buildingsopen access

Authors
Nguyen, Truong Dang Hoang NhatLy, Dang HuyJang, HanbyeolDinh, Han Nguyen NgocAhn, Yonghan
Issue Date
Aug-2025
Publisher
Elsevier B.V.
Keywords
BIM-IoT-GIS integration; Digital twin; Facility management; Modular construction; Relocatable modular school
Citation
Automation in Construction, v.176, pp 1 - 23
Pages
23
Indexed
SCIE
SCOPUS
Journal Title
Automation in Construction
Volume
176
Start Page
1
End Page
23
URI
https://scholarworks.bwise.kr/erica/handle/2021.sw.erica/125316
DOI
10.1016/j.autcon.2025.106249
ISSN
0926-5805
1872-7891
Abstract
Relocatable modular buildings (RMBs) are gaining recognition for their innovation, efficiency, and sustainability, especially in addressing urgent needs during natural disasters or pandemics. Their inherent flexibility, mobility, and scalability enable rapid deployment and adaptation to changing needs. However, managing multiple modular units and their relocation and reconfiguration over time presents significant challenges. This paper proposes a digital twin framework that integrates building information modeling (BIM), the internet of things (IoT), and geographic information systems (GIS) to enhance facility management for RMBs. Through a detailed case study of a relocatable modular school system, the framework's application is illustrated, showcasing its ability to streamline lifecycle management of modular construction, from initial design and fabrication to deployment, operation, and reconfiguration. The results highlight the potential of digital twin technology in fostering more sustainable, efficient, and resilient modular building environments, contributing to the evolution of smart construction practices and adaptive architecture © 2025
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ERICA 공학대학 (MAJOR IN ARCHITECTURAL ENGINEERING)
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