Today's mechatronic systems are becoming more and more complex as the development and design processes require collaboration across multiple engineering disciplines. The high complexity between loosely connected models results in a disconnect between these inter-disciplinary models, which may cause delays and costly rework in the long run. There is a need for an effective method to show the dependencies and risks across models for various stakeholder groups. Currently, the discussion about such methods is limited. This paper proposes and evaluates a user-friendly Decision Graph and Matrix Visualization method that combines network-based and matrix-based techniques to assist stakeholders in tracking dependencies and risks across models. The method is applied and demonstrated with a design and engineering case of a lab-scale production system, whose usability was tested formatively with experts.     «

Today's mechatronic systems are becoming more and more complex as the development and design processes require collaboration across multiple engineering disciplines. The high complexity between loosely connected models results in a disconnect between these inter-disciplinary models, which may cause delays and costly rework in the long run. There is a need for an effective method to show the dependencies and risks across models for various stakeholder groups. Currently, the discussion about such...     »