Scan-to-BIM approach for enhanced semi-automated cost management in modular off-site construction

Purpose This research integrates lean construction principles with scan-to–building information modeling (BIM) to enhance cost management in modular off-site construction. It proposes a scan-to-BIM approach within a semi-automated 5D-BIM framework to improve cost estimation accuracy and efficiency. By leveraging 3D laser scanning, it enhances quantity takeoff and cost reporting, reducing manual errors and improving decision-making during manufacturing and in-factory assembly. Design/methodology/approach A design science research methodology is used to compare the proposed lean-driven 5D-BIM framework with traditional cost management practices. The integration of 3D laser scanning and scan-to-BIM improves measurement accuracy and automates data extraction and analysis. Lean construction reduces waste and maximizes value through collaboration, while modular off-site construction benefits from prefabrication in controlled environments. The 5D-BIM model embeds cost data, enabling more precise quantity takeoffs. In contrast, traditional cost management remains heavily manual and less efficient. Findings The proposed approach reduces the time required for progress cost reporting by 18% and improves cost estimation accuracy by 12%, highlighting the value of combining lean principles with advanced BIM technologies. Research limitations/implications The study is limited to the manufacturing and assembly phases of modular off-site construction in Canada. Results may vary when applied to other phases or regions. Practical implications The framework offers actionable guidance for industry professionals aiming to improve cost control, data accuracy and resource planning in modular off-site projects, while advancing the human-centered transformation of the architecture, engineering, construction and operation industry by automating repetitive tasks, enhancing collaboration and enabling professionals to focus on higher-value decision-making. Originality/value This study uniquely combines lean construction, scan-to-BIM and 5D-BIM to tackle cost management challenges, promoting efficiency, accuracy and digital innovation in off-site construction.

Authors

Institutions

Publication Details

Journal
Engineering Construction & Architectural Management
Published
2025-12-03
DOI
https://doi.org/10.1108/ecam-04-2025-0645
Citations
1
Primary Topic
BIM and Construction Integration
Type
article
Field-Weighted Citation Impact
1.01
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Scan-to-BIM approach for enhanced semi-automated cost management in modular off-site construction

Amirhossein Mehdipoor, Ivanka Iordanova, Mohamed Al‐Hussein
1 citations
Engineering Construction & Architectural Management
BIM and Construction Integration
1.01
article

Scan-to-BIM approach for enhanced semi-automated cost management in modular off-site construction

Amirhossein Mehdipoor, Ivanka Iordanova, Mohamed Al‐Hussein
article en
1 citations

Abstract

Purpose This research integrates lean construction principles with scan-to–building information modeling (BIM) to enhance cost management in modular off-site construction. It proposes a scan-to-BIM approach within a semi-automated 5D-BIM framework to improve cost estimation accuracy and efficiency. By leveraging 3D laser scanning, it enhances quantity takeoff and cost reporting, reducing manual errors and improving decision-making during manufacturing and in-factory assembly. Design/methodology/approach A design science research methodology is used to compare the proposed lean-driven 5D-BIM framework with traditional cost management practices. The integration of 3D laser scanning and scan-to-BIM improves measurement accuracy and automates data extraction and analysis. Lean construction reduces waste and maximizes value through collaboration, while modular off-site construction benefits from prefabrication in controlled environments. The 5D-BIM model embeds cost data, enabling more precise quantity takeoffs. In contrast, traditional cost management remains heavily manual and less efficient. Findings The proposed approach reduces the time required for progress cost reporting by 18% and improves cost estimation accuracy by 12%, highlighting the value of combining lean principles with advanced BIM technologies. Research limitations/implications The study is limited to the manufacturing and assembly phases of modular off-site construction in Canada. Results may vary when applied to other phases or regions. Practical implications The framework offers actionable guidance for industry professionals aiming to improve cost control, data accuracy and resource planning in modular off-site projects, while advancing the human-centered transformation of the architecture, engineering, construction and operation industry by automating repetitive tasks, enhancing collaboration and enabling professionals to focus on higher-value decision-making. Originality/value This study uniquely combines lean construction, scan-to-BIM and 5D-BIM to tackle cost management challenges, promoting efficiency, accuracy and digital innovation in off-site construction.

Engineering Construction & Architectural ManagementVol. 33(2)
University of Alberta (CA), National Research Council Canada (CA), École de Technologie Supérieure (CA)
Openalex Percentile: Top 18%
BIM and Construction Integration
1.01
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.