Visualizing Dependencies and Inconsistencies across Models during Interdisciplinary Engineering Collaboration
Background & Research Problem Addressed CollapseIncreasing 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 ExpandIn 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
Professor, Mechanical Engineering
University of Toronto, Canada
Assistant Professor, Mechanical Engineering
University of Toronto, Canada
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)
