Article (Scientific journals)
An Analysis of Functional Modelling Approaches Across Disicplines
EISENBART, Boris; GERICKE, Kilian; BLESSING, Lucienne
2013In AI EDAM: Artificial Intelligence for Engineering Design Analysis and Manufacturing, 27 (3)
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Keywords :
Cross-disciplinary; Functional Modelling; Functional modelling approaches
Abstract :
[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.
Disciplines :
Engineering, computing & technology: Multidisciplinary, general & others
Mechanical engineering
Identifiers :
UNILU:UL-ARTICLE-2013-049
Author, co-author :
EISENBART, Boris ;  University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Engineering Research Unit
GERICKE, Kilian ;  University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Engineering Research Unit
BLESSING, Lucienne ;  University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Engineering Research Unit
Language :
English
Title :
An Analysis of Functional Modelling Approaches Across Disicplines
Publication date :
2013
Journal title :
AI EDAM: Artificial Intelligence for Engineering Design Analysis and Manufacturing
ISSN :
0890-0604
eISSN :
1469-1760
Publisher :
Cambridge University Press, New York, United States - New York
Volume :
27
Issue :
3
Peer reviewed :
Peer Reviewed verified by ORBi
Available on ORBilu :
since 27 May 2013

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