An ontology supported risk assessment approach for the intelligent configuration of supply networks

C. Palmer, E. N. Urwin, Ali Niknejad, Dobrila Petrovic, Keith Popplewell, R. I. M. Young

    Research output: Contribution to journalArticlepeer-review

    29 Citations (Scopus)
    54 Downloads (Pure)

    Abstract

    As progress towards globalisation continues, organisations seek ever better ways with which to configure and reconfigure their global production networks so as to better understand and be able to deal with risk. Such networks are complex arrangements of different organisations from potentially diverse and divergent domains and geographical locations. Moreover, greater focus is being put upon global production network systems and how these can be better coordinated, controlled and assessed for risk, so that they are flexible and competitive advantage can be gained from them within the market place. This paper puts forward a reference ontology to support risk assessment for product-service systems applied to the domain of global production networks. The aim behind this is to help accelerate the development of information systems by way of developing a common foundation to improve interoperability and the seamless exchange of information between systems and organisations. A formal common logic based approach has been used to develop the reference ontology, utilising end user information and knowledge from three separate industrial domains. Results are presented which illustrate the ability of the approach, together with areas for further work.
    Original languageEnglish
    Pages (from-to)1005
    Number of pages1030
    JournalJournal of Intelligent Manufacturing
    Volume29
    Issue number5
    Early online date2 Aug 2016
    DOIs
    Publication statusPublished - Jun 2018

    Bibliographical note

    This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

    Keywords

    • Ontology
    • Product-service
    • Knowledge
    • Global production network
    • Risk

    Fingerprint

    Dive into the research topics of 'An ontology supported risk assessment approach for the intelligent configuration of supply networks'. Together they form a unique fingerprint.

    Cite this