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Scalability and Convertibility Models and Approaches for Reconfigurable Manufacturing Environments

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Advances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Production Systems (APMS 2021)

Part of the book series: IFIP Advances in Information and Communication Technology ((IFIPAICT,volume 631))

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Abstract

The reconfigurable manufacturing system (RMS) is one of the newest manufacturing paradigms. In this paradigm, machine components, machine software, or handling units can be inserted, removed, modified, or interchanged as needed and, where appropriate, imposed by the need to adapt and adjust quickly and cost-effectively to changing requirements. RMS is considered to be a convenient processing paradigm for the manufacture of varieties as well as a scalable enabler for this variety. Considered as two of the six main RMS characteristics, in this paper, we review the most used models and solving approaches dedicated to scalability and convertibility in reconfigurable manufacturing environments. Moreover, we highlight the most critical research gaps.

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References

  1. Koren, Y., et al.: Reconfigurable manufacturing systems. CIRP Ann. 48(2), 527–540 (1999)

    Article  Google Scholar 

  2. Koren, Y. (2006) General RMS characteristics. comparison with dedicated and flexible systems. In: Dashchenko, A.I. (eds.) Reconfigurable Manufacturing Systems and Transformable Factories, pp. 27–45. Springer, Berlin, Heidelberg (2006). https://doi.org/10.1007/3-540-29397-3_3

  3. Koren, Y., Gu, X., Badurdeen, F., Jawahir, I.S.: Sustainable living factories for next generation manufacturing. Procedia Manuf. 21, 26–36 (2018)

    Article  Google Scholar 

  4. Koren, Y.: The emergence of reconfigurable manufacturing systems (RMSs). In: Benyoucef, L. (ed.) Reconfigurable Manufacturing Systems: From Design to Implementation. SSAM, pp. 1–9. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-28782-5_1

    Chapter  Google Scholar 

  5. Son, S., Lennon Olsen, T., Yip-Hoi, D.: An approach to scalability and line balancing for reconfigurable manufacturing systems. Integr. Manuf. Syst. 12(7), 500–511 (2001)

    Article  Google Scholar 

  6. Deif, A.M., ElMaraghy, H.A.: Assessing capacity scalability policies in RMS using system dynamics. Int. J. Flex. Manuf. Syst. 19(3), 128–150 (2007)

    Article  Google Scholar 

  7. Deif, A.M., ElMaraghy, W.H.: A control approach to explore the dynamics of capacity scalability in reconfigurable manufacturing systems. J. Manuf. Syst. 25(1), 12–24 (2006)

    Article  Google Scholar 

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

    Article  Google Scholar 

  9. Wang, W., Koren, Y.: Design principles of scalable reconfigurable manufacturing systems. IFAC Proceedings Volumes 46(9), 1411–1416 (2013)

    Article  Google Scholar 

  10. Hasan, S.M., Baqai, A.A., Butt, S.U., Ausaf, M.F., Zaman, U.: Incorporation of part complexity into system scalability for flexible/reconfigurable systems. Int. J. Adv. Manuf. Technol. 99(9), 2959–2929 (2018). https://doi.org/10.1007/s00170-018-2654-x

    Article  Google Scholar 

  11. Koren, Y., Wang, W., Gu, X.: Value creation through design for scalability of reconfigurable manufacturing systems. Int. J. Prod. Res. 55(5), 1227–1242 (2017)

    Article  Google Scholar 

  12. Asl, F.M., Galip Ulsoy, A..: Stochastic optimal capacity management in reconfigurable manufacturing systems. J. Manuf. Sci. Product. 6(1–2), 83–88 (2004)

    Google Scholar 

  13. Maler-Speredelozzi, V., Koren, Y., Hu, S.J.: Convertibility measures for manufacturing systems. CIRP Ann. 52(1), 367–370 (2003)

    Article  Google Scholar 

  14. Gumasta, K., Gupta, S.K., Benyoucef, L., Tiwari, M.K.: Developing a reconfigurability index using multi-attribute utility theory. Int. J. Prod. Res. 49(6), 1669–1683 (2011)

    Article  Google Scholar 

  15. Goyal, K.K., Jain, P K., Jain, M.: Multiple objective optimization of reconfigurable manufacturing system. In :Advances in Intelligent and Soft Computing, pp. 453–460. Springer India (2012)

    Google Scholar 

  16. Mittal, K.K., Jain, P.K., Kumar, D.: Optimal configuration selection in reconfigurable manufacturing system. In: Deep, K., Jain, M., Salhi, S. (eds.) Decision Science in Action. AA, pp. 193–202. Springer, Singapore (2019). https://doi.org/10.1007/978-981-13-0860-4_14

    Chapter  Google Scholar 

  17. Lafou, M., Mathieu, L., Pois, S., Alochet, M.: convertibility indicator for manual mixed-model assembly lines. Procedia CIRP 17, 314–319 (2014)

    Article  Google Scholar 

  18. Chinnathai, M.K., Alkan, B., Harrison, R.: Convertibility evaluation of automated assembly system designs for high variety production. Procedia CIRP 60, 74–79 (2017)

    Article  Google Scholar 

  19. Wang, W., Koren, Y.: Scalability planning for reconfigurable manufacturing systems. J. Manuf. Syst. 31(2), 83–91 (2012)

    Article  Google Scholar 

  20. Elmasry, S.S., Youssef, A.M.A., Shalaby, M.A.: Investigating best capacity scaling policies for different reconfigurable manufacturing system scenarios. Procedia CIRP 17, 410–415 (2014)

    Article  Google Scholar 

  21. Wang, W., Koren, Y.: design principles of scalable reconfigurable manufacturing systems. IFAC Proc. 46(9), 1411–1416 (2013)

    Google Scholar 

  22. Elmasry, S.S., Youssef, A.M.A., Shalaby, M.A.: A cost-based model to select best capacity scaling policy for reconfigurable manufacturing systems. Int. J. Manuf. Res. 10(2), 162–183 (2015)

    Article  Google Scholar 

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Authors and Affiliations

  1. Aix Marseille University, University of Toulon, CNRS, LIS, Marseille, France

    Abdelhak Dahmani & Lyes Benyoucef

Authors
  1. Abdelhak Dahmani
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  2. Lyes Benyoucef
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Correspondence to Abdelhak Dahmani .

Editor information

Editors and Affiliations

  1. IMT Atlantique, Nantes, France

    Alexandre Dolgui

  2. Centrale Nantes, Nantes, France

    Alain Bernard

  3. IMT Atlantique, Nantes, France

    David Lemoine

  4. ZF Friedrichshafen AG, Friedrichshafen, Germany

    Gregor von Cieminski

  5. Tecnológico de Monterrey, Mexico City, Mexico

    David Romero

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Dahmani, A., Benyoucef, L. (2021). Scalability and Convertibility Models and Approaches for Reconfigurable Manufacturing Environments. In: Dolgui, A., Bernard, A., Lemoine, D., von Cieminski, G., Romero, D. (eds) Advances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Production Systems. APMS 2021. IFIP Advances in Information and Communication Technology, vol 631. Springer, Cham. https://doi.org/10.1007/978-3-030-85902-2_47

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  • DOI: https://doi.org/10.1007/978-3-030-85902-2_47

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-85901-5

  • Online ISBN: 978-3-030-85902-2

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