33rd Annual Conference of the International Group for Lean Construction (IGLC 33) - Osaka and Kyoto, Japan - 2025

https://doi.org/10.24928/2025/0195

Generative AI in Lean Construction: a Scoping Review

Mohammad Hamed Ganji Rad1 & Mohammad Ilbeigi2

1Ph.D. Student, Department of Civil, Environmental, and Ocean Engineering, Stevens Institute of Technology, Hoboken, New Jersey, USA, [email protected], orcid.org/0009-0005-4502-1053
2Assistant Professor, Department of Civil, Environmental, and Ocean Engineering, Stevens Institute of Technology, Hoboken, New Jersey, USA, [email protected], orcid.org/0000-0001-6576-3808

Abstract

Generative Artificial Intelligence (AI), specifically Large Language Models (LLMs), has the potential to reshape construction management practices. These novel solutions can transform lean construction by enabling real-time data analysis, streamlined communication, and automated decision-making across project teams. They can facilitate enhanced collaboration by generating insights from vast construction data sets, improving workflow efficiency, and reducing waste. Additionally, LLMs can support predictive modeling, proactive risk management, and knowledge sharing, aligning with lean principles of maximizing value and minimizing inefficiencies. Given the recent advancements in generative AI, it is critical to systematically shape future research directions by building on the existing body of knowledge and addressing key knowledge gaps. The first step toward identifying knowledge gaps and uncovering critical areas that remain underexplored is to systematically analyze the existing body of knowledge. Therefore, this study conducts a scoping review to synthesize the extent, range, and nature of existing studies that have proposed novel solutions using generative AI and LLMs for various aspects of construction management. The outcomes of this systematic scoping review will help identify potential research directions for future studies in this domain.

Keywords

Generative AI, LLMs, Construction, Scoping Review.

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Reference in APA 7th edition format:

Rad, M. H. G. & Ilbeigi, M.. (2025). Generative AI in Lean Construction: a Scoping Review. In Seppänen, O., Koskela, L., & Murata , K. (Eds.), Proceedings of the 33rd Annual Conference of the International Group for Lean Construction (IGLC 33) (pp. 953–964). https://doi.org/10.24928/2025/0195

Shortened reference for use in IGLC papers:

Rad, M. H. G. & Ilbeigi, M.. (2025). Generative AI in Lean Construction: a Scoping Review. IGLC33. https://doi.org/10.24928/2025/0195

 

Founded in 1993, the IGLC is an international network of researchers from practice and academia in architecture, engineering, and construction (AEC) who feel that the practice, education, and research of the AEC industry have to be radically renewed in order to respond to the global challenges ahead.

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