A number of scientific results have been transferred into commercial software functionality, today used in daily operation by a large number of engineers in international companies.

The main scientific challenges within geometry assurance and robust design are found within three fields:

1. Accuracy in simulation and visualization results: Decisions, based on digital models, require better simulation models with higher accuracy and better representation of reality, better quality in input data and better ways to present and use results.
   
   
2. New product and process knowledge: Consistent use of simulation in different stages of the geometry assurance loop generates new knowledge and better understanding of specific product and production system behaviour, interaction and error propagation and perception and interpretation of digital models and visual quality.
   
   
3. Design rules and working procedures: New knowledge of specific system behaviour, perception and visual quality are used to establish rules and decision support for robust geometry design and working procedures for use of simulation and visualization.