Visualizing Dependencies and Inconsistencies across Models during Interdisciplinary Engineering Collaboration

Visualizing Dependencies and Inconsistencies across Models during Interdisciplinary Engineering Collaboration

Background & Research Problem Addressed Collapse

Increasing interdisciplinarity and complexity of advanced production systems requires an efficient collaboration of stakeholders (e.g., designers, engineers, managers, operators) from different disciplines. In model-based systems engineering, stakeholders address their specific concerns by using models. Popular models include mechanical CAD drawings, Matlab/Simulink models, planning charts and diagrams, etc. The more models collaborate, the more difficult to maintain the data dependencies.  Consequently, inconsistencies can occur among models, from tiny biases of attributes, incompatible interfaces to conflicting designs that lead to expensive project failures. Therefore, an early detection and management of model dependencies and potential inconsistencies is crucial for project success.  

Impact Expand

In the collaboration with the faculty partners from University of Toronto, we aim to develop and evaluate an interactive visualization method, which can efficiently assist stakeholders in capturing, understanding and handling critical dependencies across models in an interdisciplinary and collaborative development process. 

Supervisors Expand

Greg A. Jamieson 

Professor, Mechanical Engineering

University of Toronto, Canada 

 

 

Alison Olechowski 

Assistant Professor, Mechanical Engineering 

University of Toronto, Canada 

 

 

 

Birgit Vogel-Heuser 

Prof. Dr.-Ing., Institute of Automation and Information Systems, Technical University of Munich, Germany 

Students Expand
  • Haya Elaraby, M.Eng University of Toronto
  • Xintong He, BSc Technical University of Munich (TUM)

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