IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-3-540-85869-0_4.html
   My bibliography  Save this book chapter

Complex Numerical Simulations in Production Techniques

In: High Performance Computing on Vector Systems 2008

Author

Listed:
  • A. Scheibe

    (Institute of Industrial Manufacturing and Management (IFF))

  • E. Westkämper

    (Institute of Industrial Manufacturing and Management (IFF))

Abstract

The modelling of manufacturing processes is approached in the professional communities as one of the essential, long-term demand, which requires the collaboration between large spectrums of research areas. This paper presents our innovative approach for a comprehensive and holistic factory simulation model. “Multi-scale” in this context not only signifies the spatial and temporal scales within separate manufacturing processes, but also the different scales of all running processes in the whole manufacturing enterprise, called factory, as well as the different scales in the model itself. Therefore, for the purposes of the virtual and dynamic representation of the factory as a whole, at different scales or levels of abstraction, several heterogeneous modelling approaches have to be coupled with each other. In order to illustrate the usability of this methodology we gave at the end of the paper a complex scenario in the field of the automotive coating industry.

Suggested Citation

  • A. Scheibe & E. Westkämper, 2009. "Complex Numerical Simulations in Production Techniques," Springer Books, in: Michael Resch & Sabine Roller & Katharina Benkert & Martin Galle & Wolfgang Bez & Hiroaki Kobayashi (ed.), High Performance Computing on Vector Systems 2008, pages 35-44, Springer.
  • Handle: RePEc:spr:sprchp:978-3-540-85869-0_4
    DOI: 10.1007/978-3-540-85869-0_4
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a
    for a similarly titled item that would be available.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:sprchp:978-3-540-85869-0_4. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.