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An Approach for Characterizing the Operating Modes in Dynamic Hybrid Control Architectures

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Industrial Applications of Holonic and Multi-Agent Systems (HoloMAS 2015)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 9266))

Abstract

Nowadays, manufacturing control system faces the challenge of featuring optimal and reactive mechanisms to respond to volatile environments. In automation domain, hybrid control architectures solve these requirements as it allows coupling predictive/proactive and reactive techniques in manufacturing operations. However, to include dynamic coupling features, it is necessary to characterize the possible new operating modes and visualize its potential when a switching is needed. This paper presents an approach to characterize the operating modes of dynamic hybrid control architectures to support the dynamic switching process. The results, obtained through a simulation in a multi agent platform of flexible manufacturing systems, showed the interest of our approach in terms of including the characterization of operating modes as decisional criteria towards a system switching.

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References

  1. Gunasekaran, A., Ngai, E.W.: The future of operations management: an outlook and analysis. International Journal of Production Economics 135(2), 687–701 (2012)

    Google Scholar 

  2. Trentesaux, D.: Distributed control of production systems. Engineering Applications of Artificial Intelligence 22(7), 971–978 (2009)

    Article  Google Scholar 

  3. Thomas, A., El Haouzi, H., Klein, T., Belmokhtar, S., Herrera, C.: Architecture de systèmes contrôlés par le produit pour un environnement de juste à temps. Journal Européen Des Systèmes Automatisés 43, 513–535 (2009)

    Article  Google Scholar 

  4. Van Brussel, H., Wyns, J., Valckenaers, P., Bongaerts, L., Peeters, P.: Reference architecture for holonic manufacturing systems: PROSA. Computers in Industry 37(3), 255–274 (1998)

    Article  Google Scholar 

  5. Leitão, P., Restivo, F.: ADACOR: A holonic architecture for agile and adaptive manufacturing control. Computers in Industry 57(2), 121–130 (2006)

    Article  Google Scholar 

  6. Holvoet, T., Weyns, D., Valckenaers, P.: Patterns of delegate MAS. In: Third IEEE International Conference on Self-Adaptive and Self-Organizing Systems, SASO 2009, pp. 1–9. IEEE, September 2009

    Google Scholar 

  7. Pach, C., Berger, T., Bonte, T., Trentesaux, D.: ORCA-FMS: a dynamic architecture for the optimized and reactive control of flexible manufacturing scheduling. Computers in Industry 65(4), 706–720 (2014)

    Article  Google Scholar 

  8. Raileanu, S., Parlea, M., Borangiu, T., Stocklosa, O.: A JADE environment for product driven automation of holonic manufacturing. In: Borangiu, T., Thomas, A., Trentesaux, D. (eds.) Service Orientation in Holonic and Multi-Agent Manufacturing Control. SCI, vol. 402, pp. 265–277. Springer, Heidelberg (2012)

    Chapter  Google Scholar 

  9. Barbosa, J.: Self-organized and evolvable holonic architecture for manufacturing control, Ph.D dissertation. Univ. of Valenciennes (UVHC), France (2015)

    Google Scholar 

  10. Jimenez, J.F., Bekrar, A., Trentesaux, D., Zambrano-Rey G., Leitão, P.: Governance mechanism in control architectures for flexible manufacturing systems. In: 15th Symposium Information Control Problems in Manufacturing INCOM. (2015) (accepted)

    Google Scholar 

  11. Trentesaux, D., Pach, C., Bekrar, A., Sallez, Y., Berger, T., Bonte, T., Leitão, P., Barbosa, J.: Benchmarking flexible job-shop scheduling and control systems. Control Engineering Practice 21(9), 1204–1225 (2013)

    Article  Google Scholar 

  12. Tisue, S., Wilensky, U.: Netlogo: A simple environment for modeling complexity. In: International Conference on Complex Systems, pp. 16–21, May 2004

    Google Scholar 

  13. Zbib, N., Pach, C., Sallez, Y., Trentesaux, D.: Heterarchical production control in manufacturing systems using the potential fields concept. Journal of Intelligent Manufacturing 23(5), 1649–1670 (2012)

    Article  Google Scholar 

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Author information

Authors and Affiliations

  1. LAMIH UMR CNRS 8201, University of Valenciennes and Hainaut Cambrésis UVHC, 59313, Le Mont Houy, France

    Jose Fernando Jimenez, Abdelghani Bekrar & Damien Trentesaux

  2. Pontificia Universidad Javeriana, Bogotá, Colombia

    Jose Fernando Jimenez

  3. Polytechnic Institute of Bragança, Bragança, Portugal

    Paulo Leitão

  4. LIACC - Artificial Intelligence and Computer Science Laboratory, Porto, Portugal

    Paulo Leitão

Authors
  1. Jose Fernando Jimenez
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  2. Abdelghani Bekrar
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  3. Damien Trentesaux
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  4. Paulo Leitão
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Corresponding author

Correspondence to Jose Fernando Jimenez .

Editor information

Editors and Affiliations

  1. Czech Technical University in Prague, Prague, Czech Republic

    Vladimír Mařík

  2. Airbus Group Innovations, Hamburg, Germany

    Arnd Schirrmann

  3. University of Valenciennes and Hainaut-Cambresis, Valenciennes, France

    Damien Trentesaux

  4. Czech Technical University in Prague, Prague, Czech Republic

    Pavel Vrba

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© 2015 Springer International Publishing Switzerland

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Jimenez, J.F., Bekrar, A., Trentesaux, D., Leitão, P. (2015). An Approach for Characterizing the Operating Modes in Dynamic Hybrid Control Architectures. In: Mařík, V., Schirrmann, A., Trentesaux, D., Vrba, P. (eds) Industrial Applications of Holonic and Multi-Agent Systems. HoloMAS 2015. Lecture Notes in Computer Science(), vol 9266. Springer, Cham. https://doi.org/10.1007/978-3-319-22867-9_10

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  • DOI: https://doi.org/10.1007/978-3-319-22867-9_10

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-22866-2

  • Online ISBN: 978-3-319-22867-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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