Year: 2026
Type: article
Abstract: The construction industry confronts persistent challenges related to inefficiencies, rework, and cost overruns, driving the need for advanced digital solutions like Building Information Modelling (BIM). This research appraises BIM clash detection's financial and operational benefits, emphasizing its pivotal role in improving project performance. Centered on case study projects, the research employs a comprehensive cost-benefit analysis framework, integrating quantitative data from BIM clash reports, project rework logs, and qualitative insights from stakeholder interviews. The analysis evaluates financial indicators such as Net Present Value (NPV), Benefit-Cost Ratio (BCR), and Return on Investment (ROI) to determine the viability of BIM clash detection. Findings reveal that implementing this technology lessens rework frequency, enhances project timelines, and fosters stakeholder communication and coordination. A significant reduction in errors and rework also ensures higher cost savings and more efficient resource utilization. The study utilizes advanced techniques like federated BIM modelling, sensitivity analyses, and scenario-based evaluations to simulate real-world conditions and quantify outcomes. Results confirm a positive NPV, a BCR greater than 1, and a high ROI, underscoring BIM clash detection's economic feasibility and long-term value. The research illustrates how this technology mitigates construction risks, improves stakeholder satisfaction, and ensures superior project delivery quality. Through its rigorous methodological approach and robust analysis, this research demonstrates the transformative potential of BIM in modern construction. It offers actionable insights for stakeholders seeking to enhance efficiency, reduce costs, and adopt innovative technologies to revolutionize project delivery and management processes.
Source: ARCHive-SR
Institution: British University in Egypt
Language: English
Subfield: Building and Construction
Field: Engineering
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W7127042959
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