Matrix-based system modelling to predict properties change propagation

DS 87-4 Proceedings of the 21st International Conference on Engineering Design (ICED 17) Vol 4: Design Methods and Tools, Vancouver, Canada, 21-25.08.2017

Year: 2017
Editor: Anja Maier, Stanko Škec, Harrison Kim, Michael Kokkolaras, Josef Oehmen, Georges Fadel, Filippo Salustri, Mike Van der Loos
Author: Luedeke, Tobias; Kaspar, Jerome; Meiser, Philip; Schneberger, Jan-Henrik; Herrmann, Hans-Georg; Vielhaber, Michael
Series: ICED
Institution: 1: csi entwicklungstechnik GmbH, Germany; 2: Saarland University, Institute of Engineering Design, Germany; 3: Saarland University, Chair of Lightweight Systems, Germany; 4: IZFP Fraunhofer Institute for Nondestructive Testing, Germany
Section: Design Methods and Tools
Page(s): 229-238
ISBN: 978-1-904670-92-6
ISSN: 2220-4342


A significant shorter pre-development time in the automotive industry without physical prototypes due to a quicker generation of concepts is key to reduce development cost and to reach a higher product maturity much faster. However, especially appropriate product property changes have to be considered and can be handled better while reducing the number of macro-iterations and, instead, fostering micro-iterations in order to support a more agile development process. Consequently, it is inevitable for the application of an agile development and change management process to apply a holistic system consideration and to widen the range of consideration along the complete development process and not to stick in the determination of details. In this contribution, an approach towards a matrix-based system model is presented which applies both a systemic and systematic process upon the modelling of a whole system. The multi-dimensional mathematical description of the system elements and the hierarchical system decomposition support the calculation in a top-down / bottom-up procedure. Special attention is given to the product property changes and their propagation throughout the system.

Keywords: Design for X (DfX), Design to X, Product modelling / models, Multi-dimensional optimization, Property change propagation


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