Digital twin applications for overcoming construction supply chain challenges

被引:4
|
作者
Bakhshi, Sajjad [1 ]
Ghaffarianhoseini, Ali [1 ]
Ghaffarianhoseini, Amirhosein [1 ]
Najafi, Mina [2 ]
Rahimian, Farzad [2 ]
Park, Chansik [3 ]
Lee, Doyeop [3 ]
机构
[1] Auckland Univ Technol, Fac Design & Creat Technol, Sch Future Environm, Dept Built Environm Engn, Auckland, New Zealand
[2] Teesside Univ, Sch Comp Engn & Digital Technol, Middlesbrough, England
[3] Chung Ang Univ, Dept Architectural Engn, Seoul, South Korea
基金
新加坡国家研究基金会;
关键词
Digital twins; Construction industry; Construction supply chain; Integration; Collaboration; AECO; MANAGEMENT; INDUSTRY; BLOCKCHAIN; SELECTION; DYNAMICS; ELEMENTS; SYSTEMS;
D O I
10.1016/j.autcon.2024.105679
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
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.
引用
收藏
页数:20
相关论文
共 50 条
  • [31] Offsite Construction Supply Chain Challenges: An Integrated Overview
    Li, Clyde Zhengdao
    Wen, Shu
    Yi, Wen
    Wu, Hengqin
    Tam, Vivian W. Y.
    JOURNAL OF CONSTRUCTION ENGINEERING AND MANAGEMENT, 2024, 150 (07)
  • [32] Review on Digital Twin Applications in Construction by Maturity Level
    Wen, Jing
    CONSTRUCTION RESEARCH CONGRESS 2024: ADVANCED TECHNOLOGIES, AUTOMATION, AND COMPUTER APPLICATIONS IN CONSTRUCTION, 2024, : 537 - 545
  • [33] Applications and challenges of digital twins and digital twin couples in the context of digital engineering
    Miehling, Jörg
    Schleich, Benjamin
    Wartzack, Sandro
    ZWF Zeitschrift fuer Wirtschaftlichen Fabrikbetrieb, 2020, 115 : 55 - 57
  • [34] Digital twin-enabled prefabrication supply chain for smart construction and carbon emissions evaluation in building projects
    Yevu, Sitsofe Kwame
    Owusu, Emmanuel Kingsford
    Chan, Albert P. C.
    Sepasgozar, Samad M. E.
    Kamat, Vineet R.
    JOURNAL OF BUILDING ENGINEERING, 2023, 78
  • [35] Matching supply chain management challenges with blockchain applications
    Berneis, Moritz
    Winkler, Herwig
    SUPPLY CHAIN MANAGEMENT-AN INTERNATIONAL JOURNAL, 2024, 29 (06) : 1063 - 1077
  • [36] A digital twin framework for online optimization of supply chain business processes
    Perez, Hector D.
    Wassick, John M.
    Grossmann, Ignacio E.
    COMPUTERS & CHEMICAL ENGINEERING, 2022, 166
  • [37] Blockchain-Enabled Service Optimizations in Supply Chain Digital Twin
    Gai, Keke
    Zhang, Yue
    Qiu, Meikang
    Thuraisingham, Bhavani
    IEEE TRANSACTIONS ON SERVICES COMPUTING, 2023, 16 (03) : 1673 - 1685
  • [38] Digital Twin in the Agri-Food Supply Chain: A Literature Review
    Tebaldi, Letizia
    Vignali, Giuseppe
    Bottani, Eleonora
    ADVANCES IN PRODUCTION MANAGEMENT SYSTEMS: ARTIFICIAL INTELLIGENCE FOR SUSTAINABLE AND RESILIENT PRODUCTION SYSTEMS, APMS 2021, PT IV, 2021, 633 : 276 - 283
  • [39] The Application of Supply Chain Digital Twin to Measure Optimal Inventory Policy
    Maheshwari, Pratik
    Kamble, Suchet
    IFAC PAPERSONLINE, 2022, 55 (10): : 2324 - 2329
  • [40] Sustainable food supply chains: overcoming key challenges through digital technologies
    Mahroof, Kamran
    Omar, Amizan
    Kucukaltan, Berk
    INTERNATIONAL JOURNAL OF PRODUCTIVITY AND PERFORMANCE MANAGEMENT, 2022, 71 (03) : 981 - 1003