Skip to main content
SpringerLink
Log in

Capacity reconfiguration management in reconfigurable manufacturing systems

  • ORIGINAL ARTICLE
  • Published:
The International Journal of Advanced Manufacturing Technology Aims and scope Submit manuscript

Abstract

During a manufacturing operation, exceptions may occur dynamically and unpredictably. Their occurrence may lead to the degradation of system performance or, in the worst case scenario, may interrupt the production process. The research proposes a multi-agent architecture for the capacity reconfiguration problem in a reconfigurable manufacturing system (RMS). A policy to manage capacity exchange among manufacturing lines based on due date performance is proposed. The Multi-Agent architecture was built in a simulation environment developed in ARENA® package and it is compared with a dedicated manufacturing and flexible manufacturing systems. The simulations are conducted in several demand scenarios to test the approach in a static and dynamic context. The simulation environment developed can support the planner to decide among the different manufacturing systems by the evaluation of the manufacturing performance. The simulation results, in dynamic environment, showed that the proposed approach leads to similar performance to flexible manufacturing system.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

References

  1. Amico M, Bruccoleri M, Noto La Diega S, Perrone G, Renna P (2001), “An Intelligent Controller for Error Handling Decisions in Reconfigurable Manufacturing Systems”, in Proceedings of V AITEM, September 2001, Bari (Italy), Vol. 1, 355-364

  2. Bruccoleri M, Renna P, Perrone G (2005) Reconfiguration: a key to handle exceptions and performance deteriorations in manufacturing operations. Int J Prod Res 43(19):4125–4145. doi:10.1080/00207540500140773

    Article  Google Scholar 

  3. Bruccoleri M, Amico M, Perrone G, Pasek Z (2002), “A distributed control approach for error handling in reconfigurable manufacturing system based on multi agent system technologies”, in Proceedings of JUSFA Japan–USA Symposium on Flexible Automation, 15–17 July 2002, Hiroshima, Vol. 3, Japan, pp. 1067–1074

  4. Bruccoleri M, Amico M, Perrone G (2003) Distributed intelligent control of exceptions in reconfigurable manufacturing systems. Int J Prod Res 41:1393–1412. doi:10.1080/1352816031000075170

    Article  Google Scholar 

  5. Asl R., Ulsoy A., 2002, “Capacity management via feedback control in reconfigurable manufacturing systems”, Proceeding of Japan-USA symposium on flexible manufacturing automation, Hiroshima, Japan

  6. Asl R., Ulsoy A., 2003, “Capacity management in reconfigurable manufacturing systems with stochastic market demand ”, Proceeding of ASME international mechanical engineering congress and exposition

  7. Deif A, ElMaraghy H (2006) Investigating optimal capacity scalability scheduling in a reconfigurable manufacturing system. Int J Adv Manuf Technol 32:557–562

    Article  Google Scholar 

  8. Deif A, ElMaraghy H (2007) Integrating static and dynamic analysis in studying capacity scalability in RMS. Int J Manuf Res 2(4):414–427

    Article  Google Scholar 

  9. Deif A, ElMaraghy H (2007) Assessing capacity scalability policies in RMS using system dynamics. Int J Flex Manuf Syst 19:128–150

    Article  MATH  Google Scholar 

  10. Duffie N, Falu I (2002) Control-theoretic analysis of a closed loop PPC system. Annals of CIRP 52(1):379–382

    Article  Google Scholar 

  11. ElMaraghy H (2006) Flexible and reconfigurable manufacturing systems paradigms. Int J Flex Manuf Syst 17(4):261–276 Special issue on reconfigurable manufacturing systems

    Article  MATH  Google Scholar 

  12. Mehrabi M, Ulsoy G, Koren Y (2000) Reconfigurable manufacturing systems: key to fuure manufacturing. J Intell Manuf 11:403–419

    Article  Google Scholar 

  13. Kelton WD, Sadowsky RP, Sadowsky DA (1998) “Simulation with Arena”, Avenue of Americas. Mc Graw Hill, New York

    Google Scholar 

  14. Kim JH, Duffie N (2004) “Backlog control design for a closed loop PPC system”. Annals of CIRP 54(1):456–459

    Google Scholar 

  15. Kim JH, Duffie N (2005) Design and analysis for a closed loop capacity control of a multi workstation production system. Annals of CIRP 55(1):470–474

    Google Scholar 

  16. Koren, Y. U., Heisel, Jovane, F., Moriwaki, T., Pritschow, G., Ulsoy, G., and Van Brussel, H., 1999, “Reconfigurable Manufacturing Systems”, Annals of the CIRP, 48/2, Keynote Paper

  17. Koren Y, Ulsoy G (2002) Reconfigurable manufacturing system having a method for changing its production capacity. US patent # 6,349,237; issue date

  18. Renna, P., Perrone, G., Amico, M., Bruccoleri, M., and Noto La Diega, S., 2001, “A performance comparison between market like and efficiency based approaches in agent based manufacturing environment”, Proceedings of the CIRP 34th International Seminar for Manufacturing Systems, 16–18 May, 2001, Athens, Greece.

  19. Shen W, Norrie DH (1999) Agent-based systems for intelligent manufacturing: a state-of-the-art survey. Knowledge and Information System, an International Journal 1:129–156

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. University of Basilicata, Via dell’ Ateneo Lucano, 10, Potenza, 58100, Italy

    Paolo Renna

Authors
  1. Paolo Renna
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Paolo Renna.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Renna, P. Capacity reconfiguration management in reconfigurable manufacturing systems. Int J Adv Manuf Technol 46, 395–404 (2010). https://doi.org/10.1007/s00170-009-2071-2

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00170-009-2071-2

Keywords

Search

Navigation