Visual Exploration and Analysis of Simulation and Testing Data in Motor Engineering.

End-of-line tests and defect detection are vital for ensuring the reliability of electric motors. However, automated defect detection methods (e.g.

COMPO*SED: Composite Parallel Coordinates for Co-Dependent Multi-Attribute Choices.

We propose Composite Parallel Coordinates, a novel parallel coordinates technique to effectively represent the interplay of component alternatives in a system. It builds upon a dedicated data model that formally describes the interaction of components. Parallel coordinates can help decision-makers identify the most preferred solution among a number of alternatives.

Reflections on Visualization Research Projects in the Manufacturing Industry.

The rise of Industry 4.0 and cyber-physical systems has led to an abundance of large amounts of data, particularly in the manufacturing industry. Visualization and visual analytics play essential roles in harnessing this data.