APPLICATION OF DFS-BASED BIM FOR SAFE FACILITY MANAGEMENT OF BUILDINGS

Abstract

This research explores the integration of Design for Safety (DfS) principles with Building Information Modeling (BIM) to enhance safety in facility management (FM) throughout the lifecycle of buildings. The purpose of the study is to develop a framework that enables early detection and mitigation of risks associated with poor design and construction practices, particularly during maintenance and operations. The significance of this work lies in its focus on minimizing FM-related hazards, which are often underrepresented in conventional safety management systems. A comprehensive methodology was employed, including a PRISMA-guided literature review, development of a DfS knowledge library, semantic enrichment of BIM, and the creation of a BIM-integrated risk register. In addition, machine learning and Dynamo scripts were used to analyze historical accident data and facilitate real-time safety monitoring. Key findings include the successful integration of DfS rules into BIM, enabling the automated identification of maintenance hazards and the visualization of high-risk zones within 3D models. The study also demonstrates that combining BIM with technologies such as 4D simulation and machine learning improves decision-making, risk mitigation, and project efficiency. This research is novel in its emphasis on FM-specific risks and its application of semantic enrichment to enhance BIM-based safety management. Practically, it offers a scalable framework that facility managers and designers can implement to reduce injuries, ensure regulatory compliance, and enhance safety culture across building operations. The approach is particularly relevant for emerging markets like Kazakhstan, where digital transformation in the construction sector is ongoing.