IDEAS home Printed from https://ideas.repec.org/a/taf/tprsxx/v61y2023i19p6451-6466.html
   My bibliography  Save this article

A formal skill model to enable reconfigurable assembly systems

Author

Listed:
  • Lauren Van De Ginste
  • Alexander De Cock
  • Axl Van Alboom
  • Stijn Huysentruyt
  • El-Houssaine Aghezzaf
  • Johannes Cottyn

Abstract

As assembly systems move into the era of mass customisation, the complexity of design processes, (re)configurations and operations rises. Well-structured data are key in keeping this complexity manageable. Here to, this paper presents a multidimensional formal skill model designed to deliver generic descriptions of needs and capacities with skills as the connector between products, processes and resources. The model formalises resource structures in relation to the processes they master and products they can produce. This paper discusses the case-based evaluation in a reconfigurable assembly system and highlights the added-value of a skill-based modelling approach. The presented formal model combines concepts coming from both offline and online modelling perspectives and allows for various applications and levels of detail. The resource structures embedded in the prerequisites of a skill enable matchmaking of resources for workspace design and reconfigurations. The mapping of the model to standardised ISA-95 models couples production needs to the resources allowing for more optimal production planning, control and a structured interface between enterprise and control systems. The possibility to couple states to the assembly environment allows for optimal runtime orchestration.

Suggested Citation

  • Lauren Van De Ginste & Alexander De Cock & Axl Van Alboom & Stijn Huysentruyt & El-Houssaine Aghezzaf & Johannes Cottyn, 2023. "A formal skill model to enable reconfigurable assembly systems," International Journal of Production Research, Taylor & Francis Journals, vol. 61(19), pages 6451-6466, October.
    • Handle: RePEc:taf:tprsxx:v:61:y:2023:i:19:p:6451-6466
    DOI: 10.1080/00207543.2022.2128922
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/00207543.2022.2128922
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/00207543.2022.2128922?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    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:taf:tprsxx:v:61:y:2023:i:19:p:6451-6466. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/TPRS20 .

    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.