IGLC.net EXPORT DATE: 2 June 2025 @CONFERENCE{Martinez2025, author={Martinez, Jhonattan G. and Giménez, Zulay and Salazar, Luis and Alva, Luis and Alarcón, Luis F. and Yeung, Timson and Sacks, Rafael }, editor={Seppänen, Olli and Koskela, Lauri and Murata , Koichi }, title={Practices and Barriers to the Adoption of Digital Twin Construction in Latin America}, journal={Proceedings of the 33rd Annual Conference of the International Group for Lean Construction (IGLC 33)}, booktitle={Proceedings of the 33rd Annual Conference of the International Group for Lean Construction (IGLC 33)}, year={2025}, pages={598-609}, url={http://www.iglc.net/papers/details/2398}, doi={10.24928/2025/0238}, affiliation={Assistant Professor, Department of Civil and Architectural Engineering, Aarhus University, Denmark, jgmartinez@cae.au.dk, https://orcid.org/0000-0001-6715-4440 ; Professor, School of Civil Construction, Pontificia Universidad Católica de Chile, Santiago, Chile, zmgimenez@ing.puc.cl, https://orcid.org/0000-0001-9051-1434 ; Academic, Departamento de Obras Civiles, Universidad Técnica Federico Santa María, Valparaíso, Chile, luis.salazarf@usm.cl, https://orcid.org/0000-0001-7339-8935 ; Master Student, Department of Civil and Architectural Engineering, Aarhus University, Denmark, 202310903@post.au.dk ; Ph.D. Professor, Production Management Centre, Pontificia Universidad Católica de Chile, lalarcon@ing.puc.cl, https://orcid.org/0000-0002-9277-2272 ; Doctoral Candidate, Seskin Virtual Construction Laboratory, Technion – IIT, Haifa, Israel, timsonyeung@campus.technion.ac.il, https://orcid.org/0000-0002-2195-0801 ; 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 }, abstract={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. }, author_keywords={Lean construction, Digital Twin, Digital Twin Construction, Planning and Control, Automated Data Acquisition, and Building Information Modelling. }, address={Osaka and Kyoto, Japan }, issn={2789-0015 }, publisher={ }, language={English}, document_type={Conference Paper}, source={IGLC}, }