Data-driven integration framework for four-dimensional building information modeling simulation in modular construction: a case study approach

Abstract

Modular construction is becoming more popular because of its efficiency, cost-saving, and environmental benefits, but its success- ful implementation necessitates detailed planning, scheduling, and coordination. Building information modeling (BIM) and four- dimensional (4D) simulation techniques have emerged as invaluable tools for visualizing and analyzing the construction process in order to meet these r equir ements. Howev er, integrating distincti v e data sources and developing comprehensive 4D BIM simulations tailored to modular construction projects present significant challenges. Case studies are used in this paper to define precise data needs and to design a robust data inte gr ation fr amew ork for improving 4D BIM simulations in modular construction. The validation of the fr amew ork in a real-world project demonstrates its efficacy in integrating data, promoting cooperation, detecting risks, and supporting informed decision-making, ultimately enhancing modular building results through more realistic simulations. By solv- ing data inte gr ation difficulties, this resear c h pr ovides useful insights for industr y practitioners and r esear c hers, ena b ling informed decision-making and optimization of modular building projects.