A Two-Stage MEP Installation Constructability Optimization System Integrating DSM-Based Module Division and 4D Simulation

Abstract: While modularization techniques for MEP project can reduce on-site work and improve efficiency, existing installation optimization approaches focus on static constraints and lack robust consideration of dynamic interactions in the on-site assembly process. Addressing these challenges, this paper develops an MEP installation optimization framework integrating DSM-based module division and feedback-driven 4D simulation, which extracts IFC data for dynamic modeling, clusters elements into transportable modules, and employs a closed-loop algorithm to optimize installation sequences. Validated on a real-world project, the system successfully generates collision-free kinematic paths and significantly reduces installation costs, thereby enhancing both the efficiency and constructability of MEP.