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Digital twin applications for overcoming construction supply chain challenges.

Authors :
Bakhshi, Sajjad
Ghaffarianhoseini, Ali
Ghaffarianhoseini, Amirhosein
Najafi, Mina
Rahimian, Farzad
Park, Chansik
Lee, Doyeop
Source :
Automation in Construction. Nov2024, Vol. 167, pN.PAG-N.PAG. 1p.
Publication Year :
2024

Abstract

Despite Digital Twins' (DTs) growing popularity in the Architecture, Engineering, Construction and Operations sector, currently, only a limited number of studies have focused on the applicability and potential offered by DT to deal with the whole Construction Supply Chain (CSC) challenges, justifying the significance of the present study. As a response to provide a holistic insight into DT's contribution to overcoming CSC challenges, this paper follows an extensive literature review approach. This review aims explicitly to identify the existing applications of DT in dealing with current CSC challenges and explore its possible contributions by investigating examples of other industries that adopted DT to tackle similar challenges. Firstly, it utilises Scopus as a database to collect CSC-related data. Subsequently, it employs VOSviewer to extract and visualise CSC hotspots. Finally, this review conducts extensive discussions to identify the CSC challenges around the identified hotspots and the DT-provided solutions. [Display omitted] • Comprehensive investigation of DT applications over the whole CSC rather than single CSC stages. • Identifying current CSC hotspots and interpreting them into overarching themes. • Finding challenges within each overarching CSC theme by investigating deficiencies specific to their included hotspots. • Conducting an interdisciplinary review to find DT-provided solutions that can address the CSC challenges. • Dissecting the DT frameworks and developed workflows to illuminate how this technology has dealt with the challenges. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
09265805
Volume :
167
Database :
Academic Search Index
Journal :
Automation in Construction
Publication Type :
Academic Journal
Accession number :
179791920
Full Text :
https://doi.org/10.1016/j.autcon.2024.105679