Optimizing the layout and construction of Ovun's new facility
50% Reduction in Construction Planning Time

Ovun AS, a leading manufacturer of buoyancy and plastic molding products, leveraged our digital twin platform to streamline the planning and construction of their new factory. By utilizing interactive 3D models, Ovun was able to reduce planning time significantly and achieve significant savings in operational costs.
2 Full Days
Of Crane Truck Work Avoided
$5,000
Saved on Crane Rentals
The Challenge
As Ovun AS prepared to transition from their existing location in Moelv to a new facility at Rudshøgda, they faced the complex challenge of designing a production layout that would maximize operational efficiency and adapt to future growth. They required a solution that enabled flexible, data-driven planning to refine the layout and machinery placement virtually, ensuring the new site would be optimized before physical construction began.
The Solution
Moicon created a detailed 3D digital twin of the planned facility, utilizing Autodesk Data Management API and Model Derivative API to integrate existing CAD models — allowing Ovun to visualize the factory layout within its new environment and view essential facility sensor data. Autodesk Forma was used for highly accurate 3D modeling of the factory layout, enabling precise planning of machinery placement and workflow optimization.
Results
The ability to validate configurations virtually allowed for faster, data-driven planning, reducing planning time by 50%. Using their Digital Twin, Ovun refined and finalized the optimal layout before construction commenced, avoiding potential cost overruns and project delays. By simulating the installation of a large overhead crane prior to physical setup, Ovun identified potential logistical challenges early — avoiding two days of crane truck work and saving $5,000 in rental costs. Essentially, the Digital Twin had already paid for itself before factory construction was completed, and provided a solid foundation for future training, maintenance planning, and further process optimization.
Pål Thåsåsen
Plant Manager, Ovun AS