Reference : An Analysis of Functional Modelling Approaches Across Disicplines
Scientific journals : Article
Engineering, computing & technology : Mechanical engineering
Engineering, computing & technology : Multidisciplinary, general & others
http://hdl.handle.net/10993/2230
An Analysis of Functional Modelling Approaches Across Disicplines
English
Eisenbart, Boris mailto [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Engineering Research Unit >]
Gericke, Kilian mailto [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Engineering Research Unit >]
Blessing, Lucienne mailto [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Engineering Research Unit >]
2013
AI EDAM: Artificial Intelligence for Engineering Design Analysis and Manufacturing
Cambridge University Press
27
3
Yes (verified by ORBilu)
International
0890-0604
1469-1760
New York
NY
[en] Cross-disciplinary ; Functional Modelling ; Functional modelling approaches
[en] Authors across disciplines propose functional modeling as part of systematic design approaches, in order to support and guide designers during conceptual design. The presented research aims at contributing to a better understanding of the diverse functional modeling approaches proposed across disciplines. The article presents a literature review of 41 modeling
approaches from a variety of disciplines. The analysis focuses on what is addressed by functional modeling at which point in the proposed conceptual design process (i.e., in which sequence). The gained insights lead to the identification of specific needs and opportunities, which could support the development of an integrated functional modeling approach. The findings suggest that there is no such shared sequence for functional modeling across disciplines. However, a shared functional modeling perspective has been identified across all reviewed disciplines, which could serve as a common basis for the development of an integrated functional modeling approach.
Researchers ; Professionals ; Students
http://hdl.handle.net/10993/2230

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