IDEAS home Printed from https://ideas.repec.org/a/taf/tprsxx/v62y2024i9p3398-3414.html
   My bibliography  Save this article

An ontology-guided approach to process formation and coordination of demand-driven collaborations

Author

Listed:
  • Nikolai Kazantsev
  • Michael DeBellis
  • Qudamah Quboa
  • Pedro Sampaio
  • Nikolay Mehandjiev
  • Iain Duncan Stalker

Abstract

Demand shocks and fluctuations underscore the need for new approaches to coordinate collaboration between firms to scale up production. This paper proposes an approach to formalise product and process requirements via a collaboration ontology and applies semantic reasoning techniques for process formation. Our approach contributes to production research by providing flexibility in coordinating firms engaged in demand-driven collaboration. The proposed approach has four core dimensions: (1) The Collaboration ontology builds on a set of product assembly requirements, process steps, their input/output resources and semantic rules; (2) the ontology reasoner derives resource dependencies between the steps; (3) the java tool interprets resource dependencies as possible transitions in Business Process Management Notation (BPMN); (4) a workflow engine executes the generated product assembly process. The approach and the ontology were validated in an industrial aerospace tendering scenario demonstrating its practical relevance for firms seeking demand-driven collaborations to react to production changes. Finally, we position and explain our contributions to the body of knowledge in collaborative production engineering.

Suggested Citation

  • Nikolai Kazantsev & Michael DeBellis & Qudamah Quboa & Pedro Sampaio & Nikolay Mehandjiev & Iain Duncan Stalker, 2024. "An ontology-guided approach to process formation and coordination of demand-driven collaborations," International Journal of Production Research, Taylor & Francis Journals, vol. 62(9), pages 3398-3414, May.
  • Handle: RePEc:taf:tprsxx:v:62:y:2024:i:9:p:3398-3414
    DOI: 10.1080/00207543.2023.2242508
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/00207543.2023.2242508
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/00207543.2023.2242508?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:62:y:2024:i:9:p:3398-3414. 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.