IDEAS home Printed from https://ideas.repec.org/a/ids/ijatma/v12y2012i3p273-294.html
   My bibliography  Save this article

Ontologies for interoperating sustainable manufacturing: new opportunities for the automotive sector

Author

Listed:
  • Michele Dassisti
  • Antonio Giovannini

Abstract

Sustainability is a key issue in every production activity. At the same time, interoperability of the production processes is almost crucial to the most advanced manufacturing processes, particularly for the automotive sector because of its incidence on overall impact on environment. A new question then arise, quite new indeed: how and to which extent the sustainability of processes can be assured in a more complex scenario of interoperating enterprises? The reason is the variety of regions and thus rules, habits and praxes that might be involved along the product life-cycle. In the paper, a possible solution to achieve sustainability of interoperating manufacturing processes is presented. The solution is based on the most advanced artificial intelligence tools: ontologies. The problem here faced is how to structure and design an ontology-based system for supporting decisions assuring sustainable solutions within an interoperability framework. The system devised as well as the consequent structure adopted are discussed by the grace of an example of a simple automotive component.

Suggested Citation

  • Michele Dassisti & Antonio Giovannini, 2012. "Ontologies for interoperating sustainable manufacturing: new opportunities for the automotive sector," International Journal of Automotive Technology and Management, Inderscience Enterprises Ltd, vol. 12(3), pages 273-294.
    • Handle: RePEc:ids:ijatma:v:12:y:2012:i:3:p:273-294
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=50359
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

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

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Loureiro, Sandra Maria Correia & Guerreiro, João & Tussyadiah, Iis, 2021. "Artificial intelligence in business: State of the art and future research agenda," Journal of Business Research, Elsevier, vol. 129(C), pages 911-926.

    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:12:y:2012:i:3:p:273-294. 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.