Integrated framework of computer vision and fuzzy systems for lean workspace management in construction

Efficient workspace management is essential in construction due to its direct impact on safety, productivity, and workflow continuity. However, current practices lack standardized evaluation metrics and a structured approach to workspace control. This paper introduces an integrated framework for Lean Construction workspace management using computer vision (CV) and a fuzzy inference system (FIS) to develop an automated decision support system (DSS). The CV model tracks workers and calculates five new spatial performance metrics related to space utilization, labor density, workspace occupancy, foot traffic, and storage efficiency. These metrics feed into the FIS to generate a Spatio-Temporal Index (STI), which quantifies workspace efficiency. The framework aligns with Lean Construction principles, particularly those emphasized by the Last Planner® System (LPS). An interactive Power BI dashboard visualizes trends and provides recommended strategies to assist in informed decision-making. A real-world case study demonstrates its potential for improving spatial efficiency. • Framework integrating computer vision and fuzzy system for lean workspace control. • Five spatial metrics quantify utilization, density, traffic, occupancy, storage. • Metrics translated via fuzzy system into Spatio-Temporal Index for efficiency tracking. • Metrics and Index embedded in Power BI dashboard for lean-aligned decision support. • Framework validated through renovation case study demonstrating applicability.