Multiagent Systems for Production Planning in Automation

  • Francis Martínez
  • Jose Aguilar
  • César Bravo
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6867)


The production planning represents a key activity in the performance of the industry, reason why the necessity of applications that offer support to this activity, that allow to reach the goals of production with the maximum benefit. The proposal of this work is to develop a Multiagent Systems (MAS) for the Production Planning in Industrial Automation (specifically, in continuous processes). In addition, we present an application of our proposal in a process of petroleum production based on the Artificial Gas Lift Method.


Planning in Automation Process of petroleum production Multiagent Systems 


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    Bravo, C., Aguilar, J., Rivas, F.: Diseño de una Arquitectura de Automatización Industrial basada en SMA. Revista Ciencia e Ingeniería 25, 75–88 (2004)Google Scholar
  2. 2.
    Aguilar, J., Zayas, W.: A Multiagents System to Create Control Agents. Applied Artificial Intelligence 24, 785–806 (2010)Google Scholar
  3. 3.
    Aguilar, J., Cerrada, M., Mousalli, G., Rivas, F., Hidrobo, F.: A multiagent model for intelligent distributed control systems. In: Khosla, R., Howlett, R.J., Jain, L.C. (eds.) KES 2005. LNCS (LNAI), vol. 3681, pp. 191–197. Springer, Heidelberg (2005)CrossRefGoogle Scholar
  4. 4.
    Prato, F., Aguilar, J., Bravo, C., Rivas, F.: A Multi-agent System for the Management of Abnormal Situations in an Artificially Gas-lifted Well. Applied Artificial Intelligence 23, 406–426 (2009)Google Scholar
  5. 5.
    Cerrada, M., Aguilar, J., Cardillo, J., Faneite, R.: Agents-Based design for fault management systems in industrial processes. Computer in Industry 58, 313–328 (2007)Google Scholar
  6. 6.
    Aguilar, J., Chacal, J., Bravo, C., Hidrobo, F., Cerrada, M.: Specification of a Multiagent System for Planning and Management of the Production Factors for Automation based on the SCDIA Framework and MASINA Methodology. WSEAS Trans. on Systems and Control 3, 79–88 (2008)Google Scholar
  7. 7.
    Durfee, E.: Coordination of Distributed Problem Solvers. Kluwer Academic, Boston (1998)Google Scholar
  8. 8.
    Durfee, E.: Distributed problem solving and planning. In: Weiss, G. (ed.) Multiagent Systems: A Modern Approach to Distributed Artificial Intelligence, Cambridge, MA (1999)Google Scholar
  9. 9.
    Lemaître, C., Sánchez, V., Zamora, L., Palacios, A., González, L.: A Multiagent Network for Heterogeneous Workgroup Support. In: 7o. Simposium Internacional de Inteligencia Artificial (1995)Google Scholar
  10. 10.
    Luder, A., Peschke, J., Bratukhin, A., Treytl, A., Kalogeras, A., Gialelis, J.: The PABADIS PROMISE - Architecture. In: International Congress Methodologies for Emerging Technologies in Automation (2006)Google Scholar
  11. 11.
    Ferber, J.: Les Systemes Multi-agents: vers une intelligence collective, Inter-editions (1995)Google Scholar
  12. 12.

Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Francis Martínez
    • 1
  • Jose Aguilar
    • 2
  • César Bravo
    • 1
  1. 1.Distrito TecnológicoPDVSAMéridaVenezuela
  2. 2.CEMISID, Facultad de IngenieríaUniversidad de los AndesMéridaVenezuela

Personalised recommendations