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From BIM to Robotic Production: A Digital Workflow for Customized Components in Volumetric Modular Construction

Amirhossein Mehdipoor, Ph.D. Team Lead and Research Officer, National Research Council Canada

Amirhossein Mehdipoor, Ph.D., is the Team Lead and Research Officer for National Research Council Canada

Volumetric modular construction depends on repeatability. Factory production works best when dimensions, assemblies, sequencing, and information are controlled from one module to the next. That standardization supports productivity, quality, and predictable manufacturing.

But modular projects are not always fully repetitive.

Façades, shading systems, exterior panels, architectural features, connection details, and other components may need to respond to site conditions, energy-performance targets, client requirements, or architectural variation. The challenge for manufacturers is therefore not simply how to customize a component. It is how to introduce customization without disrupting the efficiencies of standardized factory production.

A connected digital workflow can help bridge that gap.

The proposed approach links Building Information Modelling (BIM), Building Energy Modelling (BEM), computational design, generative optimization, digital manufacturing, robotic fabrication, and factory quality control. The objective is to create a continuous digital thread from design intent to manufactured component while retaining the quality-management structure required for prefabricated and modular construction.

The underlying research demonstrated a workflow structured around BIM authoring, BEM development, energy analysis, evolutionary design, design refinement, and robotic fabrication. For volumetric modular manufacturing, that workflow can be expanded by incorporating manufacturing readiness, inspection, traceability, nonconformance management, and factory release procedures. Figure 1 shows the proposed digital workflow from BIM to robotic production for customized components in volumetric modular construction, including quality assurance and quality control gates aligned with CSA A277.

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Figure 1. Digital workflow of BIM to robotic production.

BIM as the Foundation

The process begins with a coordinated BIM model. Architectural, structural, and MEP information can be combined with module geometry, component interfaces, connection locations, materials, and project requirements. BIM therefore becomes more than a three-dimensional design environment. It provides the controlled digital information needed by downstream analysis and manufacturing activities.

This is also where applicable technical requirements need to enter the process. CSA A277 requires prefabricated buildings, modules, and panels to be designed and constructed in accordance with the codes and regulations applicable at the installation location. It also addresses design documentation and review requirements where applicable.

For a digital workflow, this creates a first quality gate: the coordinated model and associated design documentation should be reviewed before information moves into optimization and manufacturing.

Performance-Driven Customization

The next stage asks a different question: where is customization actually useful?

Instead of changing geometry for architectural effect alone, component variation can be linked to measurable performance criteria.

In the original case study, BIM information was connected to environmental analysis and computational design. Solar radiation across the façade was evaluated, and the geometry of shading components was parametrically varied according to local exposure.

Figure 2 shows the Solar radiation analysis of the façade and parametric variation of shading components according to local exposure.

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Figure 2. Solar radiation analysis, reproduced from Mehdipoor et al. (2025)

The workflow used ArchiCAD, Rhino and Grasshopper, Ladybug for environmental analysis, and Wallacei for evolutionary optimization. Design variables included component size, position, and orientation, while the optimization objectives focused on reducing solar radiation and minimizing shading area.

For a volumetric modular manufacturer, the same principle can be applied more broadly.

A standard module can remain largely unchanged while selected components are parametrically adjusted within controlled limits. Those limits might reflect energy performance, material use, allowable dimensions, production tolerances, connection locations, transportation restrictions, or other project-specific requirements.

The key idea is simple: standardize the module, parameterize the variation.

That is a more practical interpretation of mass customization for factory-based construction.

From Optimized Design to Manufacturable Design

Optimization by itself does not create a manufacturable product.

The selected geometry must be translated into fabrication-level information that respects material dimensions, machine capabilities, tolerances, tooling, assembly sequence, and production constraints.

This is the design-to-manufacturing stage.

The fabrication model can contain detailed component geometry, part segmentation, assembly information, and component identification. Manufacturing rules can then be applied before toolpaths or machine code are generated.

At this point, quality assurance becomes critical.

CSA A277 requires manufacturers operating under the certification procedure to maintain a factory quality program. The standard addresses organizational responsibilities, documentation, applicable codes, purchasing procedures, in-factory inspection, record retention, and procedures for dealing with nonconforming items.

In a digital workflow, these requirements can be connected directly to production information.

Before manufacturing begins, a digital quality plan can define inspection points, acceptance criteria, required records, manufacturing tolerances, and responsibilities. Toolpaths and CNC or robotic instructions can then be simulated and checked for machine compatibility and collision risks.

If manufacturing constraints are not satisfied, the design should return upstream for revision rather than forcing the factory to solve the problem after production starts.

Robotic Production with In-Process Quality Control

Once the design is released for production, robotic or CNC systems can fabricate project-specific components with repeatable machine control.

In the original research, component geometry was used to create robotic toolpaths, while nesting was used to improve material utilization. Inverse kinematics and robotic simulation supported the transition from digital geometry to machine movement.

For modular manufacturing, the robotic production stage should operate together with in-process inspection.

Dimensional checks, geometry verification, connection features, material identification, and visual or sensor-based inspection can be incorporated into the production sequence. Quality records can then be linked to a specific part or module.

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CSA A277 reinforces this factory-control logic. It includes requirements related to in-factory inspection, documentation, nonconformance, markings, and product certification.

If a component does not meet the specified requirements, the workflow should not simply continue. The nonconformance should be identified, recorded, corrected or reworked, reinspected, and closed. Repeated problems should feed back into the fabrication model or manufacturing rules.

That feedback loop is important. Automation should not only make production faster. It should make the process more controlled.

Traceability and Factory Acceptance

Customized production also increases the importance of identification.

If several similar components vary slightly in geometry or performance, the manufacturer needs to know exactly which component belongs to which module and where it should be installed.

A digital component record could connect a unique identifier with production data, inspection results, module assignment, specification information, and certification records. Technologies such as barcodes or QR codes can support that process, although CSA A277 does not prescribe those specific technologies.

The standard does require identification, marking, specification information, and records for certified prefabricated products.

This makes traceability a natural part of a BIM-to-production workflow rather than an administrative step added at the end.

Integrating Customized Components with Standardized Modules

The final factory stage brings the two sides of modular manufacturing together: standardized volumetric module + digitally customized component.

Customized façade panels or other project-specific elements can be assembled and integrated with the standard module. Interfaces, tolerances, connections, envelope continuity, and relevant building systems can then be checked before final factory release.

CSA A277 provides a useful quality framework for this in-factory portion of the process, including quality programs, inspections, documentation, nonconformance management, marking, and certification surveillance.

Transportation and site installation should be treated separately. A277 specifically limits its scope largely to factory-completed work and does not generally cover transportation or portions completed on site. Those downstream activities can be addressed through other applicable modular delivery requirements.

Toward Controlled Mass Customization

For volumetric modular manufacturers, the value of this workflow is not simply the use of robotics.

Its real value is continuity.

BIM establishes the digital product definition. Performance analysis informs customization. Computational design manages variation. Design-to-manufacturing translates geometry into production information. Robotic systems execute the work. QA/QC, traceability, and factory certification provide the control needed to make that process reliable.

That creates a practical pathway toward mass customization without abandoning the principles that make modular construction efficient.

The factory remains standardized where repetition provides value. Customization is introduced where performance or project requirements justify it, and that variation is controlled digitally from design through production and inspection.

Research basis: This article builds on the peer-reviewed research presented in Mehdipoor, A., Anane, W., Mehdipoorkaloorazi, S., & Iordanova, I. (2025), “Integration of BIM and robotic fabrication for sustainable design and manufacturing of free-form building façade panels in off-site construction,” Architecture, Structures and Construction, 5:27.

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