IDEAS home Printed from https://ideas.repec.org/a/ids/ijatma/v25y2025i3p274-296.html

Digitalisation from logistics to assembly lines: applications in the Portuguese automotive sector

Author

Listed:
  • António B. Moniz
  • Marta Candeias
  • Nuno Boavida

Abstract

The digitalisation of logistics and assembly lines in the Portuguese automotive sector is reshaping manufacturing processes, work organisation and competence requirements. The research aims to assess the challenges and opportunities associated with these technological changes and their impact on workforce skills and organisational structures. Findings suggest that digitalisation is progressing unevenly across logistics and production, with logistics leading in automation while production struggles with legacy systems and high costs. The shift to alternative engines supports digitalisation, but significant workforce skill gaps in AI and digital systems remain a challenge. Companies are implementing internal training, yet outdated vocational programs fail to address Industry 4.0 needs. Rather than full automation, digitalisation is fostering new human-machine collaboration, requiring cooperation between AI specialists, managers, and workers. To ensure success, policymakers and industry leaders must prioritise workforce reskilling and align digital strategies with labour market realities.

Suggested Citation

  • António B. Moniz & Marta Candeias & Nuno Boavida, 2025. "Digitalisation from logistics to assembly lines: applications in the Portuguese automotive sector," International Journal of Automotive Technology and Management, Inderscience Enterprises Ltd, vol. 25(3), pages 274-296.
  • Handle: RePEc:ids:ijatma:v:25:y:2025:i:3:p:274-296
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=148817
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    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:ids:ijatma:v:25:y:2025:i:3:p:274-296. 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: Sarah Parker (email available below). General contact details of provider: http://www.inderscience.com/browse/index.php?journalID=2 .

    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.