IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-3-642-33389-7_51.html
   My bibliography  Save this book chapter

A Conceptual Agent-Based Planning Algorithm for the Production of Carbon Fibre Reinforced Plastic Aircrafts by using Mobile Production Units

In: Automation, Communication and Cybernetics in Science and Engineering 2011/2012

Author

Listed:
  • Hamido Hourani

    (RWTH Aachen University, IMA/ZLW)

  • Philipp Wolters
  • Eckart Hauck
  • Annika Raatz
  • Sabina Jeschke

Abstract

In order to adapt to new modifications of a product, a new production line and competences should be developed. Enhancing this adaptability feature is the target of the presented conceptual approach. This target is achieved by constructing a product, which is fixed at its place, by heterogeneous mobile production units. In this paper, the product is an aircraft which is made of carbon fiber reinforced plastic. Having two types of agents (i.e. planning agents and representative agents), the conceptual approach supports flexibility and parallelism too. The planning agents depend on their general knowledge on the construction progress to provide an abstract plan. The representative agents, which represent the physical production units, depend on their local surrounding environment to draw a concrete plan from the provided abstract plan. Defining the roles of both types of agents are also within the scope of this paper.

Suggested Citation

  • Hamido Hourani & Philipp Wolters & Eckart Hauck & Annika Raatz & Sabina Jeschke, 2013. "A Conceptual Agent-Based Planning Algorithm for the Production of Carbon Fibre Reinforced Plastic Aircrafts by using Mobile Production Units," Springer Books, in: Sabina Jeschke & Ingrid Isenhardt & Frank Hees & Klaus Henning (ed.), Automation, Communication and Cybernetics in Science and Engineering 2011/2012, edition 127, pages 655-665, Springer.
  • Handle: RePEc:spr:sprchp:978-3-642-33389-7_51
    DOI: 10.1007/978-3-642-33389-7_51
    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

    Keywords

    ;
    ;
    ;
    ;
    ;

    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:978-3-642-33389-7_51. 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.