journal article·2022-03-13Open access

Options for and Challenges of Employing Digital Twins in Construction Management

Tareq Salem, Mihai Dragomir

Applied Sciences· Volume 12· Issue 6

Abstract

The notions of smart construction and smart or digital cities include many modern concepts that are advocated today, especially in countries with advanced economies, and depend on using information technology and the Internet of Things as a basis to automate processes and activate digital systems to manage activities and services related to the operation of buildings and urban structures. In light of the spread of digital technology and modern managerial approaches, the concept of a digital twin is being used on a large scale with the current trend and direction to digitalize activities providing many economic, social and technical advantages. A digital twin is a system in which a virtual representation of a real entity or physical system is used continuously by being fed with data and deriving outputs in the form of decisions and actions that are generated through the processes of machine learning, simulation, development and lifecycle management. This study aims to review the literature on construction project management through the lens of digital twins and ways to use them in the field to improve operational results. The authors propose a framework for analyzing and supervising the development of digital twins that uses three main stages: the commonly encountered Building Information Modeling (BIM); the existing monitoring and actuation digital twins; and an envisioned third stage that makes use of artificial intelligence, complex visualization instruments and advanced controls with the capability to exact change within a construction project on the building site.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Digital Transformation in Industry · BIM and Construction Integration · Manufacturing Process and Optimization

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Department of Design Engineering and Robotics, Technical University of Cluj-Napoca, 400114 Cluj-Napoca, Romania

References (40)

Show source-provided references
1. El Jazzar, M., Piskernik, M., and Nassereddine, H. (2020, January 1–4). Digital twin in construction: An empirical analysis. Proceedings of the EG-ICE 2020 Workshop on Intelligent Computing in Engineering, Online.
2. Digital Twin Applications: A Review
3. Construction with digital twin information systems10.1017/dce.2020.16 ↗
4. Schöberl, M., Kalla, T., Sauermann, T., Rimböck, F., Kessler, S., and Fottner, J. (2020). The Process-Oriented Digital Twin of Construction Machinery. 8. Fachtagung Baumaschinentechnik, Technische Universität München. Available online: https://mediatum.ub.tum.de/doc/1577913/file.pdf.
5. Digital Twins
6. Pushkar, P., and Costa, S. (2022, January 11). The Digital Twin Opportunity. MIT Sloan Management Review, 11 August 2021. Available online: https://sloanreview.mit.edu/article/the-digital-twin-opportunity/.
7. Parris, C. (2022, January 13). Four Ways Digital Twins Can Drive Industrial Innovation. Forbes, 11 December 2020. Available online: https://www.forbes.com/sites/forbestechcouncil/2020/12/11/four-ways-digital-twins-can-drive-industrial-innovation/.
8. Madni, A.M., Madni, C.C., and Lucero, S.D. (2019). Leveraging digital twin technology in model-based systems engineering. Systems, 7.10.3390/systems7010007 ↗
9. Expanding Stakeholder Participation in Upfront System Engineering Through Storytelling in Virtual Worlds10.1002/sys.21284 ↗
10. Madni, A.M., Spraragen, M., and Madni, C.C. (2014, January 5–8). Exploring and Assessing Complex System Behavior through Model-Driven Storytelling. Proceedings of the IEEE Systems, Man and Cybernetics International Conference, Invited Special Session “Frontiers of Model Based Systems Engineering”, San Diego, CA, USA.10.1109/SMC.2014.6974045 ↗
11. Artificial intelligence in the AEC industry: Scientometric analysis and visualization of research activities10.1016/j.autcon.2020.103081 ↗
12. Van Eck, N.J., and Waltman, L. (2013). VOSviewer Manual, Univeristeit Leiden. Available online: https://www.vosviewer.com/documentation/Manual_VOSviewer_1.5.4.pdf.
13. Development of the simulation model for Digital Twin applications in historical masonry buildings: The integration between numerical and experimental reality10.1016/j.compstruc.2020.106282 ↗
14. The place and role of digital twin in supply chain management
15. Artificial intelligence in supply chain management: A systematic literature review10.1016/j.jbusres.2020.09.009 ↗
16. How Smart, Connected Products Are Transforming Companies
17. Schweigert-Recksiek, S., Trauer, J., Engel, C., Spreitzer, K., and Zimmermann, M. (2020, January 16–19). Conception of a Digital Twin in Mechanical Engineering—A Case Study in Technical Product Development. Proceedings of the Design Society: DESIGN Conference, San Francisco, CA, USA.10.1017/dsd.2020.23 ↗
18. Wilberg, J., Kalla, T., Fetscher, M., Rimbock, F., Hollauer, C., and Omer, M. (2018, January 19–23). Development of a Use Phase Data Strategy for Connected Products: A Case Study in Industry. Proceedings of the 2018 Portland International Conference on Management of Engineering and Technology (PICMET), Honolulu, HI, USA.10.23919/PICMET.2018.8481828 ↗
19. Digital twin technology as a modern approach to quality management10.1051/e3sconf/202128404013 ↗
20. BIM-based integrated delivery technologies for intelligent MEP management in the operation and maintenance phase10.1016/j.advengsoft.2017.08.007 ↗
21. Makarov, V.V., Frolov, E.B., Parshina, I.S., and Ushakova, M.V. (2022, January 15). The Concept of Developing a Digital Twin. Available online: https://mlsd2019.ipu.ru/proceedings_1/section_15/1252-1254.pdf.
22. Digital Twin in manufacturing: A categorical literature review and classification
23. Recent tools and techniques of BIM-Based Augmented Reality: A systematic review10.1016/j.jobe.2021.102500 ↗
24. Digital Twin: Vision, Benefits, Boundaries, and Creation for Buildings10.1109/ACCESS.2019.2946515 ↗
25. Nassereddine, H., Veeramani, D., and Hanna, A. (2019, January 21–24). Augmented Reality-Enabled Production Strategy Process. Proceedings of the 36th International Symposium on Automation and Robotics in Construction, Banff, AB, Canada.10.22260/ISARC2019/0040 ↗
26. Longitudinal study of BIM adoption by public construction clients10.1061/(ASCE)ME.1943-5479.0000797 ↗
27. Becue, A., Maia, E., Feeken, L., Borchers, P., and Praca, I. (2020). A new concept of digital twin supporting optimization and resilience of factories of the future. Appl. Sci., 10.10.3390/app10134482 ↗
28. Lin, W.D., and Low, M.Y.H. (2020, January 14–17). Concept design of a system architecture for a manufacturing cyber-physical digital twin system. Proceedings of the 2020 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM), Singapore.10.1109/IEEM45057.2020.9309795 ↗
29. A digital twin based industrial automation and control system security architecture10.1109/TII.2019.2938885 ↗
30. Digital twins-based remote semi-physical commissioning of flow-type smart manufacturing systems10.1016/j.jclepro.2021.127278 ↗
31. Hasan, S.M., Lee, K., Moon, D., Kwon, S., Jinwoo, S., and Lee, S. (2021). Augmented reality and digital twin system for interaction with construction machinery. J. Asian Archit. Build. Eng., 1–12. Ahead-of-print.
32. Mêda, P., Calvetti, D., Hjelseth, E., and Sousa, H. (2021). Incremental Digital Twin Conceptualisations Targeting Data-Driven Circular Construction. Buildings, 11.10.3390/buildings11110554 ↗
33. Digital twin–driven aero-engine intelligent predictive maintenance10.1007/s00170-021-06976-w ↗
34. Zambal, S., Eitzinger, C., Clarke, M., Klintworth, J., and Mechin, P.Y. (2018, January 18–20). A digital twin for composite parts manufacturing: Effects of defects analysis based on manufacturing data. Proceedings of the 2018 IEEE 16th International conference on industrial informatics (INDIN), Porto, Portugal.10.1109/INDIN.2018.8472014 ↗
35. Cityzenith (2022, January 15). What Are Digital Twins?. What the Building and Real Estate Industries Need to Know. Cityzenith, 9 October 2018., Available online: https://cityzenith.com/post/what-are-digital-twins-building-real-estate-industries.
36. Shirowzhan, S., Tan, W., and Sepasgozar, S.M. (2020). Digital twin and CyberGIS for improving connectivity and measuring the impact of infrastructure construction planning in smart cities. ISPRS Int. J. Geo-Inf., 9.10.3390/ijgi9040240 ↗
37. Is Digital Thread/Digital Twin Affordable? A Systemic Assessment of the Cost of DoD’s Latest Manhattan Project10.1016/j.procs.2017.09.003 ↗
38. The Digital Twin: Realizing the Cyber-Physical Production System for Industry 4.010.1016/j.procir.2016.11.152 ↗
39. A novel digital twin-centric approach for driver intention prediction and traffic congestion avoidance10.1007/s40860-018-0069-y ↗
40. A Review of the Roles of Digital Twin in CPS-based Production Systems10.1016/j.promfg.2017.07.198 ↗