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

20 Citations (Scopus)
35 Downloads (Pure)


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
Issue number5
Early online date2 Aug 2016
Publication statusPublished - Jun 2018

Bibliographical note

This article is currently in press. Full citation details will be uploaded when available.
This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (, 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.


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


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