A BIM-Integrated Digital Inspection Framework for Improving Construction Quality Management and Cost Control
TL;DR
A BIM-integrated Digital Inspection and Testing System to improve construction quality management through the integration of Building Information Modelling, Novade, and business intelligence platforms, which has the potential to reduce documentation redundancy, improve quality traceability, minimize rework, and strengthen construction cost control.
Abstract
The construction industry continues to encounter challenges in maintaining construction quality and controlling project costs due to fragmented inspection processes, paper-based documentation, and inefficient information management. Conventional quality inspection practices are often associated with delayed reporting, limited traceability, human error, and ineffective communication among project stakeholders, leading to rework, schedule delays, and increased project costs. This study proposes a BIM-integrated Digital Inspection and Testing System to improve construction quality management through the integration of Building Information Modelling (BIM), Novade, and business intelligence platforms (Microsoft Power BI and Google Data Studio). The study adopted the System Development Life Cycle (SDLC) methodology to analyse the existing inspection workflow, identify its limitations, and develop a conceptual digital framework that supports real-time inspection, centralized information management, BIM-based quality tracking, and analytical reporting. The proposed system establishes an end-to-end digital workflow that integrates field data collection, cloud-based information storage, BIM-enabled traceability, and interactive dashboards to enhance inspection efficiency, stakeholder collaboration, and data-driven decision-making. Unlike existing studies that examine BIM, mobile inspection, or analytics independently, this framework integrates these technologies into a unified quality management ecosystem. Although the framework has not yet been implemented or empirically validated, it provides a practical foundation for future prototype development and industry application. The proposed system has the potential to reduce documentation redundancy, improve quality traceability, minimize rework, and strengthen construction cost control, thereby supporting the digital transformation of construction quality management.