• DocumentCode
    3000893
  • Title

    FAS methodology (relational analysis)

  • Author

    Echevarría, Marcos ; Lloveras, Joaquím

  • Author_Institution
    Dept. of Eng. Projects, Polytech. Univ. of Catalonia, Barcelona, Spain
  • fYear
    2009
  • fDate
    26-29 Nov. 2009
  • Firstpage
    2309
  • Lastpage
    2312
  • Abstract
    FAS methodology is being developed based on different methodologies for the analysis of the relations between systems, to reach a modular design, product platform and product architecture. The base point of the FAS is a relation matrix (DSM), where different components and subsystems are involved. Through matrix algorithms, the optimal result in the selection of systems that can and must be designed from the modular design concept for platforms or products architectures, analyzing the relations between each of the individuals. Besides the use of the different developed methodologies for several authors, FAS analysis introduces a 3D representation based on the relations obtained from DSM development. This structure allows the use of different values, according to the types of relations analyzed and that are defined farther on.
  • Keywords
    computer graphics; matrix algebra; product design; production engineering computing; 3D representation; FAS methodology; assembly relation; functional relation; modular design; product architecture; product platform; relation matrix; space relation; Algorithm design and analysis; Analytical models; Birth disorders; Clustering algorithms; Design engineering; Industrial relations; Manufacturing processes; Product design; Scalability; Technological innovation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer-Aided Industrial Design & Conceptual Design, 2009. CAID & CD 2009. IEEE 10th International Conference on
  • Conference_Location
    Wenzhou
  • Print_ISBN
    978-1-4244-5266-8
  • Electronic_ISBN
    978-1-4244-5268-2
  • Type

    conf

  • DOI
    10.1109/CAIDCD.2009.5375273
  • Filename
    5375273