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        <title type="main" level="a">Digital Twins for Smart Decision Making in Asset Management</title>
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          <persName n="1">
            <forename>Chady</forename>
            <surname>Elias</surname>
            <placeName type="affiliation">University of Florida, United States</placeName>
          </persName>
          <persName n="2" ref="https://orcid.org/0000-0001-5193-3802" type="ORCID">
            <forename>Raja</forename>
            <surname>Issa</surname>
            <placeName type="affiliation">University of Florida, United States</placeName>
          </persName>
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          <resp>This is a section of <title>CONVR 2023 - Proceedings of the 23rd International Conference on  Construction Applications of Virtual Reality </title>(DOI: <idno type="DOI">10.36253/979-12-215-0289-3</idno>) by </resp>
          <name>Pietro Capone, Vito Getuli, Farzad Pour Rahimian, Nashwan Dawood, Alessandro Bruttini, Tommaso Sorbi</name>
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        <publisher>Firenze University Press</publisher>
        <pubPlace>Florence</pubPlace>
        <date when="2023">2023</date>
        <idno type="DOI">https://doi.org/10.36253/10.36253/979-12-215-0289-3.123</idno>
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          <p>Available for academic research purposes</p>
          <p>Open Access</p>
          <p>Copyright Author(s)</p>
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      <abstract xml:lang="en">
        <p>This study discusses the classification of Digital Twins (DTs) and their use in the Architecture, Engineering, Construction, and Operations (AECO) industry, the differences between building information modeling (BIM) and DT are emphasized and platforms for implementing DTs are compared.  DTs are quickly gaining traction in the AECO industry because they create the ability to interact virtually with all physical smart devices in the built environment. The need for replicas goes all the way back to the 1960s, when NASA created physical replicas of spaceships and connected them to simulators to develop workshop solutions on the ground. DTs are simply building blocks of the metaverse that act as a real-time digital copy of a physical object. Based on data from the physical asset or system, the physical twin (PT), a DT unlocks value in supporting smart decision-making by combining artificial intelligence (AI) with the internet of things (IoT)</p>
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            <item>Digital Twins; Internet of Things; Artificial Intelligence; Asset Management</item>
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      <p>It is available online at https://doi.org/10.36253/10.36253/979-12-215-0289-3.123<ref target="https://doi.org/10.36253/10.36253/979-12-215-0289-3.123" /></p>
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          <head>References</head>
          <bibl n="136670">
            <bibl>Adamenko, D., Kunnen, S., &amp;amp; Nagarajah, A. (2020a). Comparative Analysis of Platforms for Designing a Digital Twin. In: Ivanov, V., Trojanowska, J., Pavlenko, I., Zajac, &amp;amp; J., Peraković, D. (eds.), Advances in Design, Simulation and Manufacturing III. DSMIE 2020. Lecture Notes in Mechanical Engineering. Springer, Cham.</bibl>
            <idno type="DOI">10.1007/978-3-030-50794-7_1</idno>
          </bibl>
          <bibl n="139393">American Institute of Architects (AIA) (2022). AIA Document E202TM-2022: BIM Exhibit for Sharing Models with Project Participants.</bibl>
          <bibl n="137463">
            <bibl>Asare, K.A.B., Issa, R.R.A., Rui. L. &amp;amp; Anumba, C. (2021). “BIM for Facilities Management: Potential Legal Issues and Opportunities,” Journal of Legal Affairs and Dispute Resolution in Engineering and Construction, 2021, 13(4),</bibl>
            <idno type="DOI">10.1061/(ASCE)LA.1943-4170.0000502.</idno>
          </bibl>
          <bibl n="139286">
            <bibl>Attaran, A. &amp;amp; Celik, B. G. (2023). Digital Twin: Benefits, use cases, challenges, and opportunities, Decision Analytics Journal, 6, 100165,</bibl>
            <idno type="DOI">10.1016/j.dajour.2023.100165</idno>
          </bibl>
          <bibl n="137897">
            <bibl>Becerik-Gerber, B., F. Jazizadeh, N. Li, &amp;amp; G. Calis. 2012. “Application Areas and Data Requirements for BIM-Enabled Facilities Management.” Journal of Construction Engineering and Management 138 (3): 431–42.</bibl>
            <idno type="DOI">10.1061/(ASCE)CO.1943-7862.0000433</idno>
          </bibl>
          <bibl n="136899">
            <bibl>Brilakis, I., Pan, Y., Borrmann, A., Mayer, H.-G., Rhein, F., Vos, C., Pettinato, E., &amp;amp; Wagner, S. (2019). “Built Environment Digital Twining”. International Workshop on Built Environment Digital Twinning presented by TUM Institute for Advanced Study and Siemens AG.</bibl>
            <idno type="DOI">10.17863/CAM.65445</idno>
          </bibl>
          <bibl n="138316">
            <bibl>Delgado, J. M. D. and Oyedele, L. (2021). Digital Twins for the built environment: Learning from conceptual and process models in manufacturing. Advanced Engineering Informatics, 49, 101332.</bibl>
            <idno type="DOI">10.1016/j.aei.2021.101332</idno>
          </bibl>
          <bibl n="138317">
            <bibl>Greer, C., Burns, M., Wollman, D., and Griffor, E. (2019). Cyber-physical systems and Internet of Things. National Institute of Standards and Technology (NIST) Special Publication 1900-202.</bibl>
            <idno type="DOI">10.6028/NIST.SP1900-202</idno>
          </bibl>
          <bibl n="138474">Khajavi, S.H.; Motlagh, N.H.; Jaribion, A.; Werner, L.C.; Holmstrom, J.  (2019). Digital Twin: Vision, Benefits, Boundaries, and Creation for Buildings. IEEE Access, 7, 147406-147419.</bibl>
          <bibl n="139712">KPMG (2022). Insight report: Innovation &amp;amp; R&amp;amp;D in construction.</bibl>
          <bibl n="138283">
            <bibl>Kritzinger, W., Karner, M., Traar, G., Henjes, J., and Sihn, W. (2018). Digital Twin in manufacturing: A categorical literature review and classification. IFAC-PapersOnLine, 51(11), 1016-1022.</bibl>
            <idno type="DOI">10.1016/j.ifacol.2018.08.474</idno>
          </bibl>
          <bibl n="138109">
            <bibl>Redelinghuys, A.J.H., Basson, A.H. &amp;amp; Kruger, K. (2020). A six-layer architecture for the digital twin: a manufacturing case study implementation. Journal of Intelligent Manufacturing, 31, 1383-1402.</bibl>
            <idno type="DOI">10.1007/s10845-019-01516-6</idno>
          </bibl>
          <bibl n="138631">
            <bibl>Salvador Palau, A., Dhada, M. H., &amp;amp; Parlikad, A. K. (2019). Multiagent system architectures for collaborative prognostics. Journal of Intelligent Manufacturing, 30(8), 2999–3013</bibl>
            <idno type="DOI">10.1007/s10845-019-01478-9</idno>
          </bibl>
          <bibl n="137442">
            <bibl>Tao, F., Cheng, J., Qi, Q., Zhang, M., Zhang, H., and Sui, F. (2018). Digital twin-driven product design, manufacturing and service with big data. International Journal of Advanced Manufacturing Technology, 94(9-12), 3563–3576.</bibl>
            <idno type="DOI">10.1007/s00170-017-0233-1</idno>
          </bibl>
        </listBibl>
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