Construction Quality Management Automation: Building Information Modeling (BIM) and Emerging Technologies (ET): A Review

Abstract

Construction productivity has been nearly stagnant for decades and traditional productivity metrics hinder progress. Addressing these challenges is critical for improving productivity. Emerging technologies like BIM present a viable solution for enhancing performance and productivity. Construction quality management processes (CQM) offer the potential for improving productivity; however, the construction industry is slow to adopt innovation. Manufacturing and other industries have seen productivity growth of 3.6% and 2.8% respectively because of the introduction of cutting edge technology for reducing human errors compared to construction’s that remains at 1% over the last two decades mostly due to conventional approach. Therefore, this paper reviews existing literature and identifies BIM integrative technologies that can enhance the CQM processes to improve productivity and reduce human errors. The study identified visualization modeling and automation systems technologies that can be integrated with BIM to guide stakeholders toward adoption and use for quality evaluation processes. Visualization modeling and automation system technologies that can be applied across various quality management categories are identified, offering insights for construction stakeholders. These technologies are positioned as key tools for improving the industry’s efficiency and guiding stakeholders toward more effective quality evaluation and management practices.