PRIME as a Generic Agent Based Framework to Support Pluggability and Reconfigurability Using Different Technologies

  • André Dionísio RochaEmail author
  • Diogo Barata
  • Giovanni Di Orio
  • Tiago Santos
  • José Barata
Conference paper
Part of the IFIP Advances in Information and Communication Technology book series (IFIPAICT, volume 450)


Presently the manufacturers are facing a challenging and important period. The markets are very different comparatively to the past, with constant changes and facing a big crisis. Hence, with these new characteristics is very important for the companies quick adaptations in order to take advantage of new business opportunities. However on the shop floor is not easy reconfigure the production lines to perform new tasks. The PRIME framework presents an agent based solution capable to rapidly reconfigure and readapt the production line using standard technology. In this paper is demonstrated the usability of this framework with three completely different technologies. With this flexibility, using PRIME it is possible perform plug and produce, reconfigurability and monitoring for all kind of technologies, not obligating the companies to reform all components in the line, avoiding external costs and stoppages.


Multiagent systems Standard technology Plug and Produce Reconfigurability Distributed systems Evolvable production systems 


  1. 1.
    Antzoulatos, N., Castro, E., Scrimieri, D., Ratchev, S.: A multi-agent architecture for plug and produce on an industrial assembly platform. Prod. Eng. 8(6), 773–781 (2014)CrossRefGoogle Scholar
  2. 2.
    Rocha, A., Di Orio, G., Barata, J., Ribeiro, L., Antzoulatos, N., Castro, E., Scrimieri, D., Ratchev, S.: An Agent Based Framework to Support Plug and Produce (2014)Google Scholar
  3. 3.
    Yusuf, Y.Y., Sarhadi, M., Gunasekaran, A.: Agile manufacturing: The drivers, concepts and attributes. Int. J. Prod. Econ. 62(1–2), 33–43 (1999)CrossRefGoogle Scholar
  4. 4.
    Gunasekaran, A.: Agile manufacturing: A framework for research and development. Int. J. Prod. Econ. 62(1–2), 87–105 (1999)CrossRefGoogle Scholar
  5. 5.
    Leitão, P., Restivo, F.: A holonic approach to dynamic manufacturing scheduling. Robot. Comput.-Integr. Manuf. 24(5), 625–634 (2008)CrossRefGoogle Scholar
  6. 6.
    Leitão, P., Restivo, F.: ADACOR: A holonic architecture for agile and adaptive manufacturing control. Comput. Ind. 57(2), 121–130 (2006)CrossRefGoogle Scholar
  7. 7.
    Koren, Y., Heisel, U., Jovane, F., Moriwaki, T., Pritschow, G., Ulsoy, G., Van Brussel, H.: Reconfigurable Manufacturing Systems. CIRP Ann. - Manuf. Technol. 48(2), 527–540 (1999)CrossRefGoogle Scholar
  8. 8.
    Koren, Y., Shpitalni, M.: Design of reconfigurable manufacturing systems. J. Manuf. Syst. 29(4), 130–141 (2010)CrossRefGoogle Scholar
  9. 9.
    Frei, R., Di Marzo Serugendo, G., Barata, J.: Designing self-organization for evolvable assembly systems. In: Second IEEE International Conference on Self-Adaptive and Self-Organizing Systems, SASO 2008, pp. 97–106 (2008)Google Scholar
  10. 10.
    Onori, M., Barata, J., Frei, R.: Evolvable assembly systems basic principles. In: Information Technology for Balanced Manufacturing Systems. IFIP, vol. 220, pp. 317–328. Springer, Boston (2006)Google Scholar
  11. 11.
    Neves, P., Barata, J.: Evolvable production systems. In: IEEE International Symposium on Assembly and Manufacturing, ISAM 2009, pp. 189–195 (2009)Google Scholar
  12. 12.
    Ribeiro, L., Barata, J.: Re-thinking diagnosis for future automation systems: An analysis of current diagnostic practices and their applicability in emerging IT based production paradigms. Comput. Ind. 62(7), 639–659 (2011)CrossRefGoogle Scholar
  13. 13.
    Onori, M., Alsterman, H., Barata, J.: An architecture development approach for evolvable assembly systems. In: The 6th IEEE Int. Symposium on Assembly and Task Planning: From Nano to Macro Assembly and Manufacturing, ISATP 2005, pp. 19–24 (2005)Google Scholar
  14. 14.
    de Oliveira, J.A.B.: Coalition based approach for shop floor agility – a multiagent approach (2003)Google Scholar
  15. 15.
    Ribeiro, L., Barata, J., Onori, M., Hanisch, C., Hoos, J., Rosa, R.: Self-organization in automation - the IDEAS pre-demonstrator. In: IECON 2011 - 37th Annual Conference on IEEE Industrial Electronics Society, pp. 2752–2757 (2011)Google Scholar
  16. 16.
    Bellifemine, F.L., Caire, G., Greenwood, D.: Developing Multi-Agent Systems with JADE. John Wiley & Sons (2007)Google Scholar
  17. 17.
    Bellifemine, F., Poggi, A., Rimassa, G.: JADE–A FIPA-compliant agent framework. In: Proceedings of PAAM, vol. 99, p. 33 (1999)Google Scholar

Copyright information

© IFIP International Federation for Information Processing 2015

Authors and Affiliations

  • André Dionísio Rocha
    • 1
    Email author
  • Diogo Barata
    • 1
  • Giovanni Di Orio
    • 1
  • Tiago Santos
    • 1
  • José Barata
    • 1
  1. 1.CTS - Uninova, Departamento de Engenharia ElectrotécnicaFaculdade de Ciências e Tecnologia, Universidade Nova de LisboaCaparicaPortugal

Personalised recommendations