Artificial Intelligence in offsite and modular construction research
The capabilities of artificial intelligence (AI) in managing complex problems are increasing in construction. Particularly for offsite and modular construction (OMC). However, the knowledge landscape of AI applications in OMC remains fragmented, hindering the understanding of current developments and critical areas for advancing AI-in-OMC. Therefore, this paper presents a comprehensive overview of AI applications in OMC using a mixed-method review approach to identify key application areas of AI-in-OMC and under-researched areas. The findings reveal that the convolutional neural network (CNN) is the most prominent AI technique adopted, followed by artificial neural network (ANN). Prominent issues regarding AI-in-OMC include productivity and site safety. Further, the findings reveal patterns of different AI techniques solving similar research problems at each stage of OMC. Research areas to improve AI-in-OMC include AI-circular economy outcomes, sound and 23 image data integration and transfer learning.
History
School
- Architecture, Building and Civil Engineering
Published in
Automation in ConstructionVolume
171Issue
2025Publisher
ElsevierVersion
- AM (Accepted Manuscript)
Rights holder
© ElsevierPublisher statement
This manuscript version is made available under the CC-BY-NC-ND 4.0 license https://creativecommons.org/licenses/by-nc-nd/4.0/Acceptance date
2025-01-18Publication date
2025-01-27Copyright date
2025ISSN
0926-5805eISSN
1872-7891Publisher version
Language
- en