The Challenge: Why Scaling 3D Construction Printing Is So Complex
To begin with, at ANV, the main issue for us is the scale of production and its uniqueness. Each order requires a large amount of work from the moment of receive the customer’s inquiry through the process of quotation, production, and delivery. However, each requires human labor and continuous contact with the material supplier and shipping company because the volume of production affects the price of the material and the time and method of delivery of the material to us and the finished product to the customer.
The UniMaaS Solution: Intelligent Manufacturing Through AI
3D construction printing can greatly benefit from the MaaS business model. As a digital manufacturing technology, it enables the production of parts from a CAD file and its workflow is data-driven. It also allows for greater flexibility and economy in on-demand manufacturing of small batches and single components.
Accordingly, this leads to the following objectives and highlights the specific added value that UniMaaS contributes to addressing these challenges:
- Facilitate the simultaneous production of both unit and batch production, enabling easy and efficent personalization of the manufactured products
- Enable cost-effective production and enable communication and collaboration among suppliers and manufacturing facilities located in different geographical regions
- Aggregation of service inquiries to show to customers the best possible production method
- Customer online order submission for a customised goods production and decision-making for the construction supply chain based on workload, material inventory, labour availability, location and scale to dynamically route the order to a given service provider.
- Data tracking and analysis throughout the product’s lifecycle.
- Data-driven recommendations for recycling/reusability/refurbishment of components
Inside the Use Case: Connecting Digital Manufacturing Technologies
Moreover, in 3DCP, the manufacturing supply chain involves a complex interplay of various variables that affect the efficiency, cost, quality and scalability of the construction process. These variables span across: used materials, manufacturing process, equipment and maintenance, logistics and transport, labour technology, regulations and environmental factors.
This use case explores how 3D printing can be offered as a service, combining different technologies such as concrete printing, metal manufacturing, and machining. Supporting both one-off and batch production, the approach enables easy customization based on specific needs. In addition, it integrates quality control, material reuse, and lifecycle tracking, ensuring production remains efficient and aligned with circular economy principles.
Project Partners Driving Innovation
ANV Production is a Polish company specializing in research and prototyping in the context of implementing production processes. We utilize advanced machinery and a processes focused on using the latest additive (FDM, SLA, SLS, DMLS) and subtractive (CNC) technologies.
Łukasiewicz Research Network – Industrial Research Institute for Automation and Measurements PIAP. As Poland’s largest Research and Development Centre for Automation and Robotization, PIAP develops advanced technologies that support intelligent manufacturing and industrial automation.
The Impact: AI Is Rewriting the Rules of Construction Supply Chains
From reactive chaos to predictive harmony—inside the revolution transforming how we build tomorrow.
The Supply Chain Paradox
Here’s the uncomfortable truth: 3D concrete printing promised to simplify construction, yet its supply chain has become exponentially more complex.
Unlike conventional construction, 3DCP operates as a living ecosystem where material rheology meets robotic precision, ambient temperature dictates print viability, and a single batch inconsistency can cascade into costly failures.
Stakeholders span from cement manufacturers to software engineers, from logistics coordinators to AI specialists. Materials must be tracked from molecular composition to cubic meter placement. Technologies must synchronize across printers, sensors, and digital twins. Logistics must dance with weather forecasts and curing windows.
It’s utterly unsustainable without intelligence.
AI as the Central Nervous System
What if your supply chain could think?
Not just react to delays, but predict them. Not just track materials, but optimize them. Not just schedule prints, but orchestrate them with the precision of a symphony conductor.
This is the promise of our UniMaaS AI-Enhanced Decision Framework—a blueprint that transforms 3DCP from a craft-dependent art into a data-driven science.
Blog Writers:
Jan Piwiński | Łukasiewicz -PIAP – senior specialist and Witold Rządkowski – ANV owner
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