Quality Assurance with Building Information Modelling in Construction Projects

Abstract

Quality assurance (QA) is a fundamental component of construction projects, ensuring compliance with design, safety, and client requirements. Traditional QA methods, such as manual inspection and two-dimensional documentation, often lead to delay, rework, and inefficient use of resources. Building Information Modelling (BIM), which integrates three-dimensional models with structured project data, offers new opportunities to enhance QA by improving collaboration, enabling early error detection, and supporting automated compliance checks. This thesis investigates how BIM contributes to QA across different construction contexts. It aims to compare traditional and BIM-based approaches, identifying how digital methods improve defect detection, resource efficiency, and overall project performance. The thesis is based on a literature review supported by practical observations from large-scale infrastructure and building projects in Lithuania. The findings indicate that BIM can reduce rework by 10-20% of project costs, accelerate delivery through improved coordination, and minimize material waste via accurate quantity take-offs and automated rule-based checking. Case examples using Autodesk Civil 3D with Dynamo, Navisworks Manage, and Tekla Structures demonstrate practical workflows that improve QA outcomes. However, challenges such as high implementation costs, inconsistent modeling standards, and limited industry training remain barriers to full adoption of BIM. The thesis concludes that BIM significantly enhances QA when supported by standardized workflows, continuous training, and strong organizational commitment. Recommendations include embedding QA protocols in BIM Execution Plans (BEPs), investing in automation tools, and extending BIM-based QA beyond the design phase to construction and facility management