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.
Original language | English |
---|---|
Pages (from-to) | 598-609 |
Number of pages | 12 |
Journal | Annual Conference of the International Group for Lean Construction, IGLC |
Volume | 33 |
DOIs | |
State | Published - 2025 |
Event | 33rd Annual Conference of the International Group for Lean Construction, IGLC 2025 - Osaka and Kyoto, Japan Duration: 2 Jun 2025 → 8 Jun 2025 |
Keywords
- Automated Data Acquisition
- Building Information Modelling
- Digital Twin
- Digital Twin Construction
- Lean construction
- Planning and Control
All Science Journal Classification (ASJC) codes
- Civil and Structural Engineering
- Building and Construction