IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-3-658-40232-7_28.html
   My bibliography  Save this book chapter

Industrial AI—Smart Factories and Team Robotics

In: Work and AI 2030

Author

Listed:
  • Wolfgang H. Schulz

    (Zeppelin Universität Friedrichshafen)

  • Vincent Geilenberg

    (Zeppelin Universität Friedrichshafen)

  • Oliver Franck

    (Zeppelin Universität Friedrichshafen)

  • Stanley Smolka

    (Zeppelin Universität Friedrichshafen)

Abstract

The increasing complexity in industrial production requires new solutions and approaches to ensure the competitiveness of the European industry. This article therefore focuses on the question of how artificial intelligence can be used in industry to cope with the increasing cost pressure and what consequences this has for the world of work. In particular, smart factories and team robotics are examined in detail to look at the opportunities and risks of AI applications in a neutral way. The theoretical classification is enriched by practical examples to establish the connection to the current and future developments. Finally, an outlook is formulated, which system dynamics methodology can be applied to develop promising solutions for the competitiveness of the European industry, which have positive effects on both the working worlds and the overall economic welfare.

Suggested Citation

  • Wolfgang H. Schulz & Vincent Geilenberg & Oliver Franck & Stanley Smolka, 2023. "Industrial AI—Smart Factories and Team Robotics," Springer Books, in: Inka Knappertsbusch & Kai Gondlach (ed.), Work and AI 2030, pages 249-256, Springer.
    • Handle: RePEc:spr:sprchp:978-3-658-40232-7_28
    DOI: 10.1007/978-3-658-40232-7_28
    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 search 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:978-3-658-40232-7_28. 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.