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Please use this identifier to cite or link to this item: https://dspace.lboro.ac.uk/2134/22253

Title: An ontology supported risk assessment approach for the intelligent configuration of supply networks
Authors: Palmer, Claire
Urwin, Esmond N.
Niknejad, Ali
Petrovic, Dobrila
Popplewell, K.
Young, R.I.M.
Keywords: Ontology
Product - service
Global production network
Issue Date: 2017
Publisher: © The Authors. Published by Springer.
Citation: PALMER, C. ...et al., 2017. An ontology supported risk assessment approach for the intelligent configuration of supply networks. Journal of Intelligent Manufacturing, In Press.
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.
Description: This is an Open Access Article. It is published by Springer under the Creative Commons Attribution 4.0 Unported Licence (CC BY). Full details of this licence are available at: http://creativecommons.org/licenses/by/4.0/
Sponsor: The research leading to these results has received funding from the European Commission’s 7th Framework Programme under grant agreement no NMP2-SL-2013-608627.
Version: Published
DOI: 10.1007/s10845-016-1252-8
URI: https://dspace.lboro.ac.uk/2134/22253
Publisher Link: http://dx.doi.org/10.1007/s10845-016-1252-8
ISSN: 0956-5515
Appears in Collections:Published Articles (Mechanical, Electrical and Manufacturing Engineering)

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