A Framework for Distributed Intelligent Automation Systems Developments

  • Duncan McFarlane
  • Ajith Parlikad
  • Andy Neely
  • Alan Thorne
Part of the Studies in Computational Intelligence book series (SCI, volume 472)


This chapter proposes a simple and pragmatic framework that has been developed for classifying and analyzing developments in distributed automation and information systems – especially those that have been labelled intelligent systems for different reasons. The framework dissects the different stages in the standard feedback process and assesses distribution in terms of the level of granularity of the organization that is being considered. The framework has been found to be useful in comparing and assessing different distributed industrial control paradigms and also for examining common features of different development projects – especially those that might be sourced from different sectors or domains.


automation distributed control information system distributed information intelligent systems 


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  1. 1.
    Deene, M.: Agent-based manufacturing: advances in holonic approach. Springer (2003)Google Scholar
  2. 2.
    EPCglobal: The EPCglobal Architecture Framework (2005), (retrieved November 4, 2011)
  3. 3.
    European Commission: Directive 2000/53/EC of the European Parliament and of the Council of 18 September 2000 on end-of-life vehicles. Official Journal of the European Union L 269, 0034–0043 (October 21, 2000) Google Scholar
  4. 4.
    Fleish, E.: What is the Internet of Things? Auto-ID Labs White Paper WP-BIZAPP-05, University of St. Gallen (2010) Google Scholar
  5. 5.
    Främling, K., Nyman, J.: Information architecture for intelligent products in the Internet of Things. In: Autere, V., Bask, A., et al. (eds.) Beyond Business Logistics; Proceedings of 20th NOFOMA Logistic Conference, Helsinki, Finland, pp. 221–232 (2008)Google Scholar
  6. 6.
    Ferber, J.: Multi-Agent Systems. An Introduction to Distributed Artificial Intelligence. Addison Wesley, London (1999)Google Scholar
  7. 7.
    Kiritsis, D.: Closed-loop PLM for intelligent products in the era of the Internet of things. Computer-Aided Design 43(5), 479–501 (2011)CrossRefGoogle Scholar
  8. 8.
    Kärkkäinen, M., Holmström, J., Främling, K., Artto, K.: Intelligent products–a step towards a more effective project delivery chain. Computers in Industry 50(2), 141–151 (2003)CrossRefGoogle Scholar
  9. 9.
    López, T., Ranasinghe, D., Patkai, B., McFarlane, D.: Taxonomy, technology and applications of smart objects. Information Systems Frontiers 13(2), 1–20 (2009)Google Scholar
  10. 10.
    McFarlane, D., Sarma, S., Chirn, J.L., Wong, C.Y., Ashton, K.: Auto ID systems and intelligent manufacturing control. Engineering Applications of Artificial Intelligence 16(4), 365–376 (2003)CrossRefGoogle Scholar
  11. 11.
    McFarlane, D.C.: Distributed Intelligence in Manufacturing & Service Environments. Keynote Presentation 1st International SOHOMA Workshop, Paris, June 2-21 (2011)Google Scholar
  12. 12.
    McFarlane, D., Parlikad, A., Neely, A., Thorne, A.: A Framework for Analysing Industrial Distributed Information and Automation Developments. Journal Paper in Preparation (2012) Google Scholar
  13. 13.
    McFarlane, M., Kollingbaum, J., Matson, P., Valckanaers, P.: Development of Algorithms for Agent-based Control of Manufacturing Flow Shops. Studies in Informatics and Control 11(1), 41–52 (2002)Google Scholar
  14. 14.
    Meyer, G.G., Främling, K., Holmström, J.: Intelligent Products: A Survey. Computers in Industry 60(3), 137–148 (2009)CrossRefGoogle Scholar
  15. 15.
    Sohrabi, et al.: Wireless Sensor Networks: Technology, Protocols and Applications. Wiley (2007)Google Scholar
  16. 16.
    Tanenbaum, A.S., Van Steen, M.: Distributed systems: principles and paradigms, 2nd edn. Prentice Hall, NJ (2006)Google Scholar
  17. 17.
    Van Brussel, H., Wyns, J., Valckenaers, P., Peeters, P.: Reference Architecture for Holonic Manufacturing Systems: PROSA. Computers in Industry, Special Issue on Intelligent Manufacturing Systems 37(3), 255–276 (1998)Google Scholar
  18. 18.
    Wong, C., McFarlane, D., Zaharudin, A., Agarwal, V.: The intelligent product driven supply chain. In: 2002 IEEE International Conference on Systems, Man and Cybernetics, vol. 4, p. 6 (2002)Google Scholar
  19. 19.
    Zweben, M., Fox, M.: Intelligent Scheduling. Morgan Kaufmann (1994)Google Scholar
  20. 20.
    Zurawski, R.: The industrial information technology handbook. CRC Press (2004)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Duncan McFarlane
    • 1
  • Ajith Parlikad
    • 1
  • Andy Neely
    • 1
  • Alan Thorne
    • 1
  1. 1.Distributed Information and Automation LabCambridge University Engineering DepartmentCambridgeUK

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