Buildings (Oct 2024)

Technology Gap Analysis on the BIM-Enabled Design Process of Prefabricated Buildings: An Autoethnographic Study

  • Ding Zhou,
  • Longbao Chen,
  • Guohua Wei,
  • Jiahui Zhang,
  • Pengxiang Guo,
  • Huigang Wang,
  • Junpeng Zhao,
  • Weijia Huang

DOI
https://doi.org/10.3390/buildings14113498
Journal volume & issue
Vol. 14, no. 11
p. 3498

Abstract

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This research explores the pivotal role of Building Information Modeling (BIM) technology in revolutionizing the design and construction of prefabricated buildings. It highlights the benefits of BIM-enabled design processes, including improved coordination and efficiency, while addressing challenges in integrating BIM with prefabricated elements. The study proposes artificial intelligence (AI) solutions to enhance architectural detailing, optimize workflows, and facilitate human–robot collaboration. Using autoethnographic methods, the research refines BIM-forward design through thematic analysis and technology gap (TG) assessments. It advocates for a comprehensive technology roadmap that emphasizes BIM libraries, external data sources, and the transition to a multi-dimensional BIM environment. This research contributes valuable insights to advance BIM practices in prefabricated building construction and offers a strategic framework to bridge existing TGs, enabling seamless integration of BIM and AI in future practices.

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