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Summary

Résumé de la présentation

This presentation showcases a breakthrough in residential modular construction: an automated space layout planning application that unifies architectural design, manufacturing constraints, and regulatory compliance within a single intelligent workflow. By integrating functional requirements, spatial adjacencies, module dimensional limits, transportation restrictions, and production capacity data, the system generates factory-ready layouts that are both buildable and optimized from the outset. A novel fusion of graph-based and cell-based planning methodologies enables simultaneous optimization of spatial relationships and geometric precision, overcoming long-standing limitations in modular design processes.

The innovation transforms layout planning from a fragmented, revision-heavy task into a data-driven, scalable solution aligned with real-world manufacturing and assembly conditions. By embedding building code requirements and factory specifications directly into early-stage design, the application virtually eliminates infeasible layouts, reduces coordination errors, and significantly shortens project timelines. The result is a repeatable, standards-based approach that enhances speed, consistency, and cost efficiency, positioning modular construction as a more reliable and scalable response to growing housing demands.

Who's Presenting

Qui présente

Leila Rafati Sokhangoo

(Moderator)

PhD Candidate / Modular - Concordia University

PhD Candidate / Modular - Concordia University

Biographie

This presentation showcases a breakthrough in residential modular construction: an automated space layout planning application that unifies architectural design, manufacturing constraints, and regulatory compliance within a single intelligent workflow. By integrating functional requirements, spatial adjacencies, module dimensional limits, transportation restrictions, and production capacity data, the system generates factory-ready layouts that are both buildable and optimized from the outset. A novel fusion of graph-based and cell-based planning methodologies enables simultaneous optimization of spatial relationships and geometric precision, overcoming long-standing limitations in modular design processes.

The innovation transforms layout planning from a fragmented, revision-heavy task into a data-driven, scalable solution aligned with real-world manufacturing and assembly conditions. By embedding building code requirements and factory specifications directly into early-stage design, the application virtually eliminates infeasible layouts, reduces coordination errors, and significantly shortens project timelines. The result is a repeatable, standards-based approach that enhances speed, consistency, and cost efficiency, positioning modular construction as a more reliable and scalable response to growing housing demands.

Amirhossein Mehdipoor

Team Lead and Research Officer - National Research Council Canada (NRC)

Team Lead and Research Officer at the National Research Council Canada (NRC), Construction Research Centre, Industrialized and Digitalized Construction (IDC), specializing in BIM/VDC, MMC and industrialized construction, automation, and digital transformation in the built environment.

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