TY  - CONF
TI  - Practices and Barriers to the Adoption of Digital Twin Construction in Latin America
C1  - Osaka and Kyoto, Japan
C3  - Proceedings of the 33rd Annual Conference of the International Group for Lean Construction (IGLC 33)
SP  - 598
EP  - 609
PY  - 2025
DO  - 10.24928/2025/0238
AU  - Martinez, Jhonattan G.
AU  - Giménez, Zulay
AU  - Salazar, Luis
AU  - Alva, Luis
AU  - Alarcón, Luis F.
AU  - Yeung, Timson
AU  - Sacks, Rafael
AD  - Assistant Professor, Department of Civil and Architectural Engineering, Aarhus University, Denmark, jgmartinez@cae.au.dk, https://orcid.org/0000-0001-6715-4440
AD  - Professor, School of Civil Construction, Pontificia Universidad Católica de Chile, Santiago, Chile, zmgimenez@ing.puc.cl, https://orcid.org/0000-0001-9051-1434
AD  - Academic, Departamento de Obras Civiles, Universidad Técnica Federico Santa María, Valparaíso, Chile, luis.salazarf@usm.cl, https://orcid.org/0000-0001-7339-8935
AD  - Master Student, Department of Civil and Architectural Engineering, Aarhus University, Denmark, 202310903@post.au.dk
AD  - Ph.D. Professor, Production Management Centre, Pontificia Universidad Católica de Chile, lalarcon@ing.puc.cl, https://orcid.org/0000-0002-9277-2272
AD  - Doctoral Candidate, Seskin Virtual Construction Laboratory, Technion – IIT, Haifa, Israel, timsonyeung@campus.technion.ac.il, https://orcid.org/0000-0002-2195-0801
AD  - Professor, Head of National Building Research Institute, Seskin Virtual Construction Laboratory, Technion – IIT, Haifa, Israel, cvsacks@technion.ac.il, https://orcid.org/0000-0001-9427-5053
ED  - Seppänen, Olli 
ED  - Koskela, Lauri 
ED  - Murata , Koichi 
AB  - The Digital Twin Construction paradigm, built on existing concepts of Lean project production systems, Building Information Modelling, Artificial Intelligence, and Automated data acquisition, proposes a new mode of construction management that leverages real-time insights and predictive analytics to optimise production flow and mitigate risks proactively. Its potential adoption in Latin America has yet to be explored. This study examines current practices and barriers to implementing Digital Twin Construction-based production planning and control systems. A survey was developed and validated through the Delphi method, involving an expert panel to ensure reliability and relevance. According to the survey’s results and experts' opinions, technological, organisational, cultural, and economic factors have impacted the adoption of Digital Twin Construction, including lack of robust digital infrastructure, gaps in knowledge, and resistance to innovation. The research findings provide practical recommendations to support future research and industry efforts.
KW  - Lean construction
KW  - Digital Twin
KW  - Digital Twin Construction
KW  - Planning and Control
KW  - Automated Data Acquisition
KW  - and Building Information Modelling.
PB  - 
T2  - Proceedings of the 33rd Annual Conference of the International Group for Lean Construction (IGLC 33)
DA  - 2025/06/02
CY  - Osaka and Kyoto, Japan
L1  - http://iglc.net/Papers/Details/2398/pdf
L2  - http://iglc.net/Papers/Details/2398
N1  - Export Date: 02 June 2025
DB  - IGLC.net
DP  - IGLC
LA  - English
ER  -