TY - JOUR
T1 - The convergence of BIM, AI and IoT
T2 - Reshaping the future of prefabricated construction
AU - Rangasamy, Veerakumar
AU - Yang, Jyh Bin
N1 - Publisher Copyright:
© 2024 Elsevier Ltd
PY - 2024/5/1
Y1 - 2024/5/1
N2 - Prefabricated Construction (PC) is one of the modern construction techniques where some components of a structure or an entire structure are manufactured in a controlled environment and then installed on the construction site. The Architectural Engineering and Construction (AEC) industry is gradually implementing PC by integrating with Building Information Modeling (BIM), Artificial Intelligence (AI), and Internet of Things (IoT) applications. A three-step procedure adopted in this study comprises a bibliometric search, followed by quantitative analysis and qualitative analysis, to figure out the recent research trends in PC aided with BIM, AI and IoT applications and to draw the research trends and knowledge gap. The quantitative analysis pinpoints key research patterns, influential authors, and notable articles; the qualitative assessment spotlights five central themes, including the integration of BIM, AI, and IoT with PC design, quality improvement, performance and productivity enhancement, information and knowledge management, and the barriers to PC adoption. Crucially, future research directions such as automated design developments, robotic fabrication, applications' compatibility, strategic decision-making, and PC operation and maintenance are highlighted, underscoring the potential for refining PC adoption in the industry. This review provides a roadmap for future research to aid researchers and practitioners in optimizing PC's potential in the AEC sector.
AB - Prefabricated Construction (PC) is one of the modern construction techniques where some components of a structure or an entire structure are manufactured in a controlled environment and then installed on the construction site. The Architectural Engineering and Construction (AEC) industry is gradually implementing PC by integrating with Building Information Modeling (BIM), Artificial Intelligence (AI), and Internet of Things (IoT) applications. A three-step procedure adopted in this study comprises a bibliometric search, followed by quantitative analysis and qualitative analysis, to figure out the recent research trends in PC aided with BIM, AI and IoT applications and to draw the research trends and knowledge gap. The quantitative analysis pinpoints key research patterns, influential authors, and notable articles; the qualitative assessment spotlights five central themes, including the integration of BIM, AI, and IoT with PC design, quality improvement, performance and productivity enhancement, information and knowledge management, and the barriers to PC adoption. Crucially, future research directions such as automated design developments, robotic fabrication, applications' compatibility, strategic decision-making, and PC operation and maintenance are highlighted, underscoring the potential for refining PC adoption in the industry. This review provides a roadmap for future research to aid researchers and practitioners in optimizing PC's potential in the AEC sector.
KW - Artificial Intelligence (AI)
KW - Building Information Modeling (BIM)
KW - Internet of Things (IoT)
KW - Prefabricated construction
KW - Systematic review
UR - http://www.scopus.com/inward/record.url?scp=85183327343&partnerID=8YFLogxK
U2 - 10.1016/j.jobe.2024.108606
DO - 10.1016/j.jobe.2024.108606
M3 - 回顧評介論文
AN - SCOPUS:85183327343
SN - 2352-7102
VL - 84
JO - Journal of Building Engineering
JF - Journal of Building Engineering
M1 - 108606
ER -