Abstract
In order to solve a problem resulting from structural complexity, the scope and implied aspects of the system model in question must be clearly defined. This means that system domains, the level of detail of the elements, and the meaning of the dependencies considered must be determined. Based on this, the requirements for the subsequent step of information acquisition can then be derived. A clear system definition is necessary for the visual and computational model representation and is indispensable for the application of analysis methods.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Literature
Bongulielmi, L.; Henseler, P., Puls, C.; Meier, M. (2001): The K- & V-Matrix Method – An Approach in Analysis and Description of Variant Products. In: Proceedings of the 13th International Conference on Engineering Design (ICED 01), Glasgow. Bury St. Edmunds: IMechE 2001, pp 571-578.
Lindemann, U. (2007a): Methodische Entwicklung technischer Produkte. 2nd Ed., Berlin: Springer 2007.
Yassine, A.; Whitney, D.; Daleiden, S.; Lavine, J. (2003): Connectivity Maps: Modeling and Analysing Relationships in Product Development Processes. Journal of Engineering Design 14 (2003) 3, pp 377-394.
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
Copyright information
© 2009 Springer-Verlag Berlin Heidelberg
About this chapter
Cite this chapter
Lindemann, U., Maurer, M., Braun, T. (2009). Modeling the Multiple-Domain Matrix. In: Structural Complexity Management. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-87889-6_5
Download citation
DOI: https://doi.org/10.1007/978-3-540-87889-6_5
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-87888-9
Online ISBN: 978-3-540-87889-6
eBook Packages: EngineeringEngineering (R0)