Advertisement

Proposition of an Implementation Framework Enabling Benchmarking of Holonic Manufacturing Systems

  • Olivier Cardin
  • Anne L’Anton
Chapter
Part of the Studies in Computational Intelligence book series (SCI, volume 762)

Abstract

Performing an overview of the benchmarking initiatives oriented towards the performance evaluation of Holonic Manufacturing Systems shows that there are very few of them. However, a comparison between all the isolated emulation developments for benchmarking in literature was made, and showed that many common features could be extracted. Several deadlocks for a generic approach of these developments are also exhibited. A global architecture dedicated to generic performance evaluation platform design is suggested. This architecture integrates a scenario manager, whose main specificities are detailed and justified. These features serve to both integrate the best practices encountered in literature and fulfil the missing aspects to respond to the problematic.

Keywords

Virtual commissioning Emulation Performance evaluation Benchmarking Simulation 

References

  1. 1.
    Cardin, O., Ounnar, F., Thomas, A., Trentesaux, D.: Future industrial systems: best practices of the intelligent manufacturing and services systems (IMS2) French Research Group. IEEE Trans. Ind. Inform. 13, 704–713 (2017)CrossRefGoogle Scholar
  2. 2.
    Indriago, C., Cardin, O., Bellenguez-Morineau, O., Rakoto, N., Castagna, P., Chacòn, E.: Performance evaluation of holonic control of a switch arrival system. Concurr. Eng. https://doi.org/10.1177/1063293X16643568
  3. 3.
    Taillard, E.: Benchmarks for basic scheduling problems, European. J. Oper. Res. 64, 278–285 (1993)CrossRefzbMATHGoogle Scholar
  4. 4.
    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 Eng. Practice 21, 1204–1225 (2013)CrossRefGoogle Scholar
  5. 5.
    Berger, T., Deneux, D., Bonte, T., Cocquebert, E., Trentesaux, D.: Arezzo-flexible manufacturing system: a generic flexible manufacturing system shop floor emulator approach for high-level control virtual commissioning. Concurr. Eng. 23, 333–342 (2015)CrossRefGoogle Scholar
  6. 6.
    Cavalieri, S., Terzi, S., Macchi, M.: A Benchmarking Service for the evaluation and comparison of scheduling techniques. Comput. Ind. 58, 656–666 (2007)CrossRefGoogle Scholar
  7. 7.
    Jovanović, M., Zupan, S., Starbek, M., Prebil, I.: Virtual approach to holonic control of the tyre-manufacturing system. J. Manuf. Syst. 33, 116–128 (2014)CrossRefGoogle Scholar
  8. 8.
    Bal, M., Hashemipour, M.: Virtual factory approach for implementation of holonic control in industrial applications: A case study in die-casting industry. Robot. Comput. Integr. Manuf. 25, 570–581 (2009)CrossRefGoogle Scholar
  9. 9.
    Pannequin, R., Morel, G., Thomas, A.: The performance of product-driven manufacturing control: an emulation-based benchmarking study. Comput. Ind. 60, 195–203 (2009)CrossRefGoogle Scholar
  10. 10.
    Mönch, L.: Simulation-based benchmarking of production control schemes for complex manufacturing systems. Control Eng. Practice 15, 1381–1393 (2007)CrossRefGoogle Scholar
  11. 11.
    Gamboa, Q.F., Cardin, O., L’Anton, A., Castagna, P.: Virtual commissioning-based development and implementation of a service-oriented holonic control for retrofit manufacturing systems. In: Borangiu, T., Trentesaux, D., Thomas, A., McFarlane, D. (eds.) Service Orientation in Holonic Multi-Agent Manufacturing, pp. 233–242. Springer International Publishing (2016)Google Scholar
  12. 12.
    Kruger, K., Basson, A.: Validation of a holonic controller for a modular conveyor system using an object-oriented simulation framework. In: Borangiu, T., Trentesaux, D., Thomas, A., Leitao, P., Barata, J. (eds.) Service Orientation in Holonic and Multi-agent Manufacturing, pp. 427–435. Springer International Publishing, (2017)CrossRefGoogle Scholar
  13. 13.
    Dobrescu, R., Merezeanu, D.: Simulation platform for virtual manufacturing systems. In: Borangiu, T., Trentesaux, D., Thomas, A., Leitao, P., Barata, J. (eds.) Service Orientation in Holonic and Multi-agent Manufacturing, pp. 395–404 (2017)Google Scholar
  14. 14.
    Rocha, A.D., Barroca, P., Maso, G.D., Oliveira, J.B.: Environment to simulate distributed agent based manufacturing systems. In: Borangiu, T., Trentesaux, D., Thomas, A., Leitao, P., Barata, J. (eds.) Service Orientation in Holonic and Multi-agent Manufacturing, pp. 405–416 (2017)Google Scholar
  15. 15.
    Gamboa Quintanilla, F., Cardin, O., L’Anton, A., Castagna, P.: A modeling framework for manufacturing services in Service-oriented Holonic Manufacturing Systems. Eng. Appl. Artif. Intell. 55, 26–36 (2016)CrossRefGoogle Scholar

Copyright information

© Springer International Publishing AG 2018

Authors and Affiliations

  1. 1.Laboratoire des Sciences du Numérique de Nantes, LS2N UMR CNRSLUNAM Université, IUT de Nantes – Université de NantesNantesFrance

Personalised recommendations