Industrial Build Preparation Automation: The Concrete Plan to Reduce Errors and Times

Industrial Build Preparation Automation: The Concrete Plan to Reduce Errors and Times

The automation of build preparation is redefining operational efficiency in the industrial additive manufacturing sector, enabling continuous workflows free of manual interventions. Manufacturing companies that adopt automated solutions for the build preparation phase are experiencing significant reductions in human errors, higher build density, and optimized operational times, transforming a traditional production bottleneck into a concrete competitive advantage.

What is Build Preparation Automation

Build preparation automation eliminates the repetitive manual activities that precede printing, transforming import, slicing, and nesting into configurable and replicable processes on an industrial scale.

In industrial additive manufacturing, the phase between CAD design and the actual start of printing represents a critical point for quality, repeatability, and cost per part. This phase, known as build preparation, includes importing geometries, configuring process parameters, slicing models, and optimized nesting of parts within the build volume.

Traditionally, these steps require manual intervention by specialized operators, introducing variability between shifts, potential configuration errors, and downtime that directly impacts plant productivity. Automating this critical phase allows standardizing procedures, ensuring operational consistency, and freeing up human resources for higher-value activities such as machine management, quality inspection, and process optimization.

AMIS Runtime: End-to-End Automation for Critical Processes

AMIS Runtime automates the entire workflow from part management to intelligent nesting, ensuring repeatability across SLS, MJF, Binder Jetting, and Material Jetting technologies.

Introduced in February 2026, AMIS Runtime represents the first software platform designed to offer fully autonomous and continuously re-optimized build preparation for industrial additive manufacturing. The system automates the entire workflow: from part import to slicing, from intelligent placement to exporting jobs ready for production.

A distinctive feature of the platform is the ability to define nesting behaviors specific to component type. Users can configure rules based on dimensional class, geometry, shell density, metadata, or business constraints, allowing different part families to follow differentiated optimization strategies. This level of granular control enables the creation of highly efficient builds that dynamically adapt to the mix of components in production.

The system also supports continuous re-nesting: as long as a build is not in the printing phase, the platform automatically regenerates the optimal configuration when new parts arrive or production priorities change. Parts and batches behave like a “virtual inventory”, enabling flexible scheduling, greater machine utilization, and just-in-time preparation without manual intervention.

The declared compatibility covers the main industrial additive production technologies: Selective Laser Sintering (SLS), Multi Jet Fusion (MJF), Binder Jetting and Material Jetting, allowing the same automation logic to be applied across different plants and reducing operational variability between different production lines.

Practical Implementation: Two Real Cases of Integration

Before the public launch, AMIS Runtime was implemented in two industrial production sites, which helped to refine the functionalities based on real operational constraints.

Platform validation occurred through deployment at two industrial additive production facilities, where initial users tested the system under real operating conditions, tackling the typical bottlenecks of high-volume production. This approach allowed for the refinement of the functional set based on concrete needs rather than theoretical specifications.

One of the sites involved in the validation phase subsequently selected AMIS Runtime as the definitive solution after comparatively evaluating multiple automation platforms available on the market. The decisive criteria were end-to-end control of the entire process, the predictable behavior of the system, and native integration with AMIS Pro, the build preparation environment already in use.

According to Kris Binon, Managing Director of AMIS, early adopters have already experienced tangible differences in daily operations: "Build preparation determines both quality and economics in additive manufacturing. By automating this step, AMIS Runtime helps users achieve better density, fewer errors, and smoother workflows — and this directly translates into lower cost per part and more predictable production."

Operational Benefits and Impact on Productivity

Build preparation automation generates measurable benefits: reduction of human errors, increase in build density, greater machine utilization, and freeing up operator time.

The operational benefits of automation manifest at various levels of the production chain. Firstly, the elimination of repetitive manual interventions drastically reduces configuration errors that can compromise entire production batches. Process standardization also guarantees consistency across work shifts, eliminating the dependence on the “tribal knowledge” of specific operators.

On the material efficiency front, intelligent nesting optimization allows for increasing build density, maximizing the number of parts produced per print cycle and reducing material consumption per component. This directly translates into an improvement in cost per part and a more efficient use of installed production capacity.

The ability for continuous re-nesting also enables more flexible production management, allowing for dynamic responses to priority changes or new orders without having to manually restart the entire preparation process. This just-in-time approach reduces downtime and increases the overall throughput of the plant.

Finally, by freeing operators from repetitive and low-value-added tasks, automation allows for the reallocation of human resources towards strategic activities such as quality monitoring, process parameter optimization, and proactive machine management, increasing the overall value generated by technical staff.

Getting Started: Adoption Checklist

The implementation of automation requires a structured assessment of production needs, technological compatibility, and integration with existing systems.

To successfully launch a build preparation automation project, it is essential to follow a methodical approach. The first step consists of accurately mapping the current workflow, identifying critical points where manual interventions generate bottlenecks, variability, or recurring errors.

Next, it is necessary to evaluate technological compatibility: verify which additive production technologies are currently in use (SLS, MJF, Binder Jetting, Material Jetting) and which automation software solutions natively support these processes. Compatibility with already used build preparation tools is a critical factor for minimizing operational discontinuities.

An often-underestimated aspect concerns integration with existing production management systems. The most effective automation solutions offer APIs and connectors for MES (Manufacturing Execution Systems) and “hot-folder” type workflows, allowing for the insertion of automated build generation into already consolidated production pipelines.

Before large-scale implementation, it is advisable to conduct a pilot phase on a controlled subset of production, defining clear metrics to evaluate the impact: percentage reduction of errors, increase in average build density, time saved per build, improvement in machine utilization. These quantitative data will provide the basis for calculating the actual ROI and planning the extension of automation to the entire production capacity.

Finally, do not neglect staff training: even the most automated systems require operators capable of correctly configuring nesting rules, interpreting results, and intervening when necessary. Investing in team preparation ensures that automation becomes a multiplier of skills, not a replacement.

Conclusion

The adoption of automation in build preparation represents a competitive turning point for manufacturing companies operating in industrial additive manufacturing. Evidence collected from early implementers shows

article written with the help of artificial intelligence systems