TY - JOUR
T1 - Advanced information technologies for high-precision quality control in building engineering
AU - Li, Clyde Zhengdao
AU - Zeng, Jia
AU - Tam, Vivian WY
AU - Wu, Hengqin
PY - 2025/5/1
Y1 - 2025/5/1
N2 - Quality problems emerge in various stages of the building lifecycle. Traditional quality control methods are often inefficient and costly, which are misaligned with building goals due to their manual, time-intensive, labor-intensive, and error-prone processes. Advanced information technologies (AIT) have attracted significant attention for enabling high-precision quality control (HPQC) by providing accurate, real-time data. AIT shows promise for implementing automated HPQC in building engineering, yet a comprehensive overview of AIT applications in building quality control remains lacking, limiting the advancement of quality control methods and technologies. This study aims to provide a systematic review of AIT applications in HPQC for the building sector from 2012 to 2023, employing both bibliometric and qualitative analysis. A total of 172 papers were analyzed for bibliometric and qualitative discussion to identify research trends and challenges. Bibliometric analysis revealed three main clusters: "HPQC equipment", "specific technologies", and "quality problems". These clusters were further examined through qualitative analysis, yielding insights into research gaps and areas for improvement. Finally, five future research directions are proposed to guide the development of automated HPQC methods. The findings provide actionable insights for stakeholders to enhance early-stage quality control, reduce quality rework, and improve overall efficiency.
AB - Quality problems emerge in various stages of the building lifecycle. Traditional quality control methods are often inefficient and costly, which are misaligned with building goals due to their manual, time-intensive, labor-intensive, and error-prone processes. Advanced information technologies (AIT) have attracted significant attention for enabling high-precision quality control (HPQC) by providing accurate, real-time data. AIT shows promise for implementing automated HPQC in building engineering, yet a comprehensive overview of AIT applications in building quality control remains lacking, limiting the advancement of quality control methods and technologies. This study aims to provide a systematic review of AIT applications in HPQC for the building sector from 2012 to 2023, employing both bibliometric and qualitative analysis. A total of 172 papers were analyzed for bibliometric and qualitative discussion to identify research trends and challenges. Bibliometric analysis revealed three main clusters: "HPQC equipment", "specific technologies", and "quality problems". These clusters were further examined through qualitative analysis, yielding insights into research gaps and areas for improvement. Finally, five future research directions are proposed to guide the development of automated HPQC methods. The findings provide actionable insights for stakeholders to enhance early-stage quality control, reduce quality rework, and improve overall efficiency.
KW - Advanced information technologies
KW - Building engineering
KW - Laser scanner
KW - Literature review
KW - Quality control
UR - http://www.scopus.com/inward/record.url?scp=85216190890&partnerID=8YFLogxK
UR - https://go.openathens.net/redirector/westernsydney.edu.au?url=https://doi.org/10.1016/j.jobe.2025.111918
U2 - 10.1016/j.jobe.2025.111918
DO - 10.1016/j.jobe.2025.111918
M3 - Article
AN - SCOPUS:85216190890
VL - 101
JO - Journal of Building Engineering
JF - Journal of Building Engineering
M1 - 111918
ER -