Reference Ontologies for Global Production Networks

Esmond Neil Urwin, Claire Palmer, Anne-Françoise Cutting-Decelle, Francisco Sánchez Cid, José Miguel Pinazo-Sánchez, Sonja Pajkovska-Goceva, Robert Young

2014

Abstract

The development and utilisation of flexible, reconfigurable Global Production Network organisations presents issues for the sharing and reuse of information and knowledge between systems and domains. The research approach put forward in this paper posits that manufacturing reference ontologies can provide the necessary underlying flexibility in a semantic-base to support interoperability. Moreover for that to be of real value to industry it needs to be commonly applicable across the breadth of manufacturing business and therefore be offered as a standard.

References

  1. Banathy, B. H., 1992. A systems view of education: Concepts and principles for effective practice. Englewood Cliffs, New Jersey: Educational Technology Publications.
  2. Borgo, S., and Leitão, P., 2007. Foundations for a core ontology of manufacturing. Integrated Series in Information Systems, 14, pp. 751-775.
  3. Coe, N. M., Dicken, P., and Hess, M., 2008. Global production networks: realizing the potential. Journal of Economic Geography, 8(3), pp. 271-295.
  4. Chungoora, N., and Young, R.I.M., 2011. The configuration of design and manufacture knowledge models from a heavyweight ontological foundation. International Journal of Production Research, 49(15), pp. 4701 - 4725.
  5. Chungoora, N., Gunendran, G. A., Young, R. I. M., Usman, Z., Anjum, N. A., Palmer, C., Harding, J. A., Case, K., and Cutting-Decelle, A. F., 2012. Extending product lifecycle management for manufacturing knowledge sharing. Proceedings of the Institution of Mechanical Engineers Part B - Journal of Engineering Manufacture, 226 (A12), pp. 2047-2063.
  6. Chungoora, N., Cutting-Decelle, A-F., Young, R. I. M., Gunendran, G., Usman, Z., Harding, J.A., and Case, K., 2013a. Towards the ontology-based consolidation of production-centric standards, International Journal of Production Research, 51(2), pp. 327-345.
  7. Chungoora, N., Young, R. I. M., Gunendran, G., Palmer, C., Usman, Z., Anjum, N. A., Cutting-Decelle, A. F, Harding, J. A., and Case, K., 2013b. A model-driven ontology approach for manufacturing system interoperability and knowledge sharing. Computers in Industry, 64, pp. 392-401.
  8. Creswell, J.W., 2008. Research design: qualitative, quantitative, and mixed methods approaches (3rd Edition). Thousand Oaks: California, Sage Publications Inc.
  9. Fettke, P., and Loos, P., 2003. Classification of reference models - a methodology and its application. Information Systems and e-Business Management, 1(1), pp. 35-53.
  10. Fettke, P., and Loos, P., 2006. Using Reference Models for Business Engineering - State-of-the-Art and Future Developments, Proceedings of the 3rd International Conference on Innovations in Information Technology, Dubai, United Arab Emirates, November 19-21, pp.1-5.
  11. Hastilow, N., 2013. An Ontological Approach to Manufacturing Systems Interoperability in Dynamic Change Environments. PhD Thesis. School of Mechanical and Manufacturing Engineering, Loughborough University, UK.
  12. Highfleet Ontology Library Reference, 2014. Baltimore, MA, HIGHFLEET Inc.
  13. Integrated ontology development environment (IODE). http://www.highfleet.com/iode.html (accessed June 2014).
  14. ISO 11354-1:2011, Advanced automation technologies and their applications - Requirements for establishing manufacturing enterprise process interoperability - Part 1: Framework for enterprise interoperability. Genève, Switzerland.
  15. ISO 15531-44:2010, Industrial automation systems and integration - Industrial manufacturing management data - Part 44: Information modelling for shop floor data acquisition. Genève, Switzerland.
  16. ISO (1994). Information technology - Open Systems Interconnections - Basic Reference Model: The Basic Model, ISO/IEC 7498-1:1994(E), second edition, corrected and reprinted 1996-06-15. Genève, Switzerland.
  17. ISO/IEC 24707:2007. Information technology - Common Logic: a framework for a family of logic-based languages. Genève, Switzerland.
  18. Mizoguchi, R., Kozaki, K., and Kitamura, Y. (2012, September). Ontological analyses of roles. Federated Conference on Computer Science and Information Systems (FedCSIS), Wroclaw, Poland, September 9- 12, pp. 489-496.
  19. Noy, N. F., and McGuinness, D. L., 2001. Ontology Development 101: A Guide to Creating Your First Ontology, Development, 32(1), pp. 1-25.
  20. OMG, 2012 OMG unified modeling language (OMG UML), superstructure and infrastructure version 2.4.1 [online]. Available from: http://www.omg.org/spec/ UML/2.4.1/ [Accessed 26 June 2014].
  21. Panetto. H., and Molina, A., 2008. Enterprise Integration and Interoperability in Manufacturing Systems: trends and issues. Computers in Industry, 59(7), pp. 641-646.
  22. Panetto, H., Goncalves, R., and Molina, A., 2012. Enterprise Integration and Networking: theory and practice. Annual Reviews in Control, 36(2), pp. 284- 290.
  23. POP* Revised framework Work package - A1.8, 2006. Athena European integrated project no. 507849 public deliverable.
  24. PUBs, F., 1993. Integration definition for function modelling (IDEF0). Federal information processing standards publication, 183.
  25. Wieringa, R. J., de Jonge, W., and Spruit, P. A., 1995. Using dynamic classes and role classes to model object migration, Theory and Practice of Object Systems, 1(1), pp 61-83.
  26. Yin, R. K., 2009. Case study research design and methods. Thousand Oaks: California, Sage Publications Inc.
  27. Young, R. I., Gunendran, A. G., Cutting Decelle, A-F., and Gruninger, M., 2007. Manufacturing knowledge sharing in PLM: a progression towards the use of heavy weight ontologies, International Journal of Production Research, 45(7), pp.1505-1519.
  28. Young, R. I. M., Gunendran, A. G., Chungoora, N., Harding, J. A., and Case, K., 2009. Enabling interoperable manufacturing knowledge sharing in PLM. Proceedings of the Sixth International Conference on Product Life Cycle Management PLM09, University of Bath, Bath, UK, July 6-8, Switzerland, pp.130-138.
Download


Paper Citation


in Harvard Style

Neil Urwin E., Palmer C., Cutting-Decelle A., Sánchez Cid F., Miguel Pinazo-Sánchez J., Pajkovska-Goceva S. and Young R. (2014). Reference Ontologies for Global Production Networks . In Proceedings of the International Conference on Knowledge Management and Information Sharing - Volume 1: KMIS, (IC3K 2014) ISBN 978-989-758-050-5, pages 133-139. DOI: 10.5220/0005026001330139


in Bibtex Style

@conference{kmis14,
author={Esmond Neil Urwin and Claire Palmer and Anne-Françoise Cutting-Decelle and Francisco Sánchez Cid and José Miguel Pinazo-Sánchez and Sonja Pajkovska-Goceva and Robert Young},
title={Reference Ontologies for Global Production Networks},
booktitle={Proceedings of the International Conference on Knowledge Management and Information Sharing - Volume 1: KMIS, (IC3K 2014)},
year={2014},
pages={133-139},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005026001330139},
isbn={978-989-758-050-5},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Knowledge Management and Information Sharing - Volume 1: KMIS, (IC3K 2014)
TI - Reference Ontologies for Global Production Networks
SN - 978-989-758-050-5
AU - Neil Urwin E.
AU - Palmer C.
AU - Cutting-Decelle A.
AU - Sánchez Cid F.
AU - Miguel Pinazo-Sánchez J.
AU - Pajkovska-Goceva S.
AU - Young R.
PY - 2014
SP - 133
EP - 139
DO - 10.5220/0005026001330139