IDEAS home Printed from https://ideas.repec.org/h/spr/fuobcp/978-3-030-82003-9_3.html

Unlocking the Hidden, Data-Driven Potential of the Supply Chain

In: Digital Business Models in Industrial Ecosystems

Author

Listed:
  • Stefan Asenkerschbaumer

    (Robert Bosch GmbH)

Abstract

Even though a digitalized supply chain can be a veritable driver of performance, industry is still doing far too little to unlock the potential that is hidden in a data-driven supply chain. Yet for any company that seizes this opportunity and systematically exploits the wealth of supply-chain data, an enduring competitive advantage beckons. The game-changer is an end-to-end supply chain, based on standardization and data transparency, that permits largely automated, AI-assisted, and highly efficient planning processes. In this respect, supply-chain planning and production scheduling go hand in hand as building blocks of the factory of the future, whose operations are digitalized and highly flexible. There are four fundamental elements for achieving this: Leadership and associates—empowerment The design of end-to-end processes The use of digital interfaces to manage partners Data security Combining cross-company and company-internal digitalization projects can play a major part in making processes more robust, conserving resources, enhancing flexibility, and making the supply chain future-proof.

Suggested Citation

  • Stefan Asenkerschbaumer, 2021. "Unlocking the Hidden, Data-Driven Potential of the Supply Chain," Future of Business and Finance, in: Kai-Ingo Voigt & Julian M. Müller (ed.), Digital Business Models in Industrial Ecosystems, pages 35-46, Springer.
  • Handle: RePEc:spr:fuobcp:978-3-030-82003-9_3
    DOI: 10.1007/978-3-030-82003-9_3
    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:fuobcp:978-3-030-82003-9_3. 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.