posted on 2016-02-25, 14:52authored byClaire PalmerClaire Palmer, Esmond Urwin, Jose M. Pinazo-Sanchez, Francisco S. Cid, Ester P. Rodriguez, Sonja Pajkovska-Goceva, Robert I.M. Young
In competitive and time sensitive market places, organisations are tasked with providing product lifecycle management (PLM) approaches to achieve and maintain competitive advantage, react to change and understand the balance of possible options when making decisions on complex multi-faceted problems, global production networks (GPN) is one such domain in which this applies. When designing and configuring GPN to develop, manufacture and deliver product–service provision, information requirements that affect decision making become more complex. The application of reference ontologies to a domain and its related information requirements can enhance and accelerate the development of new product-service systems with a view towards the seamless interchange of information or interoperability between systems and domains.
This paper presents (i) preliminary results for the capture and modelling of end-user information, (ii) an initial higher level reference core ontology for the development of reference ontologies and (iii) the formal logical modelling of Level 1 of the FLEXINET reference ontology using a Common Logic based approach.
Funding
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.
History
School
Mechanical, Electrical and Manufacturing Engineering
Published in
Computers in Industry
Citation
PALMER, C. ... et al, 2016. Reference ontologies to support the development of global production network systems. Computers in Industry, 77, pp. 48-60.
This work is made available according to the conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/
Publication date
2016
Notes
This paper was accepted for publication in the journal Computers in Industry and the definitive published version is available at http://dx.doi.org/10.1016/j.compind.2015.11.002