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A Core Reference Model for Applicable Reconfigurable Manufacturing Systems

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Service Oriented, Holonic and Multi-Agent Manufacturing Systems for Industry of the Future (SOHOMA 2023)

Part of the book series: Studies in Computational Intelligence ((SCI,volume 1136))

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Abstract

Reconfigurable Manufacturing Systems (RMS) have emerged as a promising approach to address the dynamic demands and uncertainties in modern manufacturing. However, the lack of a comprehensive and universally accepted definition of the notion of configuration in RMS poses challenges for researchers and practitioners. This research article aims to bridge this gap by suggesting a core reference model for RMS, allowing to exhibit a generic modelling of configurations. The article critically examines existing definitions and approaches to configuration, providing a comprehensive overview of the different dimensions and components of configuration in RMS. By addressing the lack of a consistent understanding of configuration in RMS, this article contributes to the development of a shared knowledge base and paves the way for further advancements in the field. It also highlights the importance of establishing a clear and holistic definition of configuration for effective implementation and utilisation of RMS in practice.

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References

  1. Alvarez, K., Reyes, J.: Reconfigurable manufacturing system based on the holonic paradigm for the die-cutting process in a sports shoes company. In: García, M.V., Fernández-Peña, F., Gordón-Gallegos, C. (eds.) Advances and Applications in Computer Science, Electronics and Industrial Engineering. AISC, vol. 1307, pp. 19–36. Springer, Singapore (2021). https://doi.org/10.1007/978-981-33-4565-2_2

    Chapter  Google Scholar 

  2. André, P., Cardin, O.: Trusted services for cyber manufacturing systems. In: Borangiu, T., Trentesaux, D., Thomas, A., Cardin, O. (eds.) Service Orientation in Holonic and Multi-Agent Manufacturing. SCI, vol. 762, pp. 359–370. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-73751-5_27

    Chapter  Google Scholar 

  3. André, P., Cardin, O.: Aggregation patterns in holonic manufacturing systems. In: Borangiu, T., Trentesaux, D., Leitão, P., Cardin, O., Joblot, L. (eds.) SOHOMA 2021. SCI, vol. 1034, pp. 3–15. Springer, Cham (2022). https://doi.org/10.1007/978-3-030-99108-1_1

    Chapter  Google Scholar 

  4. André, P., Cardin, O., Azzi, F.: Multi-protocol communication tool for virtualized cyber manufacturing systems. In: Borangiu, T., Trentesaux, D., Leitão, P., Cardin, O., Lamouri, S. (eds.) SOHOMA 2020. SCI, vol. 952, pp. 385–397. Springer, Cham (2021). https://doi.org/10.1007/978-3-030-69373-2_27

    Chapter  Google Scholar 

  5. Blanc, P., Demongodin, I., Castagna, P.: A holonic approach for manufacturing execution system design: an industrial application. Eng. Appl. Artif. Intell. 21(3), 315–330 (2008)

    Article  Google Scholar 

  6. Bortolini, M., Galizia, F.G., Mora, C.: Reconfigurable manufacturing systems: literature review and research trend. J. Manuf. Syst. 49, 93–106 (2018)

    Article  Google Scholar 

  7. Cerqueus, A., Delorme, X.: Evaluating the scalability of reconfigurable manufacturing systems at the design phase. Int. J. Prod. Res. 61(23), 8080–8093 (2023)

    Article  Google Scholar 

  8. Cerqueus, A., Gianessi, P., Lamy, D., Delorme, X.: Balancing and configuration planning of RMS to minimize energy cost. In: Lalic, B., Majstorovic, V., Marjanovic, U., von Cieminski, G., Romero, D. (eds.) APMS 2020. IAICT, vol. 592, pp. 518–526. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-57997-5_60

    Chapter  Google Scholar 

  9. El Amin Tebib, M., André, P., Cardin, O.: A model driven approach for automated generation of service-oriented holonic manufacturing systems. In: Borangiu, T., Trentesaux, D., Thomas, A., Cavalieri, S. (eds.) SOHOMA 2018. SCI, vol. 803, pp. 183–196. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-03003-2_14

    Chapter  Google Scholar 

  10. Beauville dit Eynaud, A., Klement, N., Roucoules, L., Gibaru, O., Durville, L.: UML based reconfiguration rate analysis of assembly line depending on robot integration. IFAC-PapersOnLine 51(11), 1168–1173 (2018). iNCOM 2018

    Google Scholar 

  11. Capawa Fotsoh, E., Mebarki, N., Castagna, P., Berruet, P., Gamboa, F.: Towards a reference model for configuration of reconfigurable manufacturing system (RMS). In: Lalic, B., Majstorovic, V., Marjanovic, U., von Cieminski, G., Romero, D. (eds.) APMS 2020. IAICT, vol. 591, pp. 391–398. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-57993-7_44

    Chapter  Google Scholar 

  12. 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)

    Article  Google Scholar 

  13. Guan, X., Dai, X., Qiu, B., Li, J.: A revised electromagnetism-like mechanism for layout design of reconfigurable manufacturing system. Comput. Ind. Eng. 63(1), 98–108 (2012)

    Article  Google Scholar 

  14. ISO: ISO22400: 1-automation systems and integration-key performance indicators (KPIs) for manufacturing operations management-part 1: overview, concepts and terminology (2014)

    Google Scholar 

  15. ISO: ISO22400: 2-automation systems and integration-key performance indicators (KPIs) for manufacturing operations management-part 2: definitions and descriptions (2014)

    Google Scholar 

  16. Kaiser, J., McFarlane, D., Hawkridge, G., André, P., Leitão, P.: A review of reference architectures for digital manufacturing: classification, applicability and open issues. Comput. Ind. 149, 103923 (2023)

    Article  Google Scholar 

  17. Morgan, J., Halton, M., Qiao, Y., Breslin, J.G.: Industry 4.0 smart reconfigurable manufacturing machines. J. Manuf. Syst. 59, 481–506 (2021)

    Article  Google Scholar 

  18. Muhammad, U., Ferrer, B.R., Mohammed, W.M., Lastra, J.L.M.: An approach for implementing key performance indicators of a discrete manufacturing simulator based on the ISO 22400 standard. In: 2018 IEEE Industrial Cyber-Physical Systems (ICPS), pp. 629–636 (2018)

    Google Scholar 

  19. Petroodi, S.E.H., Eynaud, A.B.D., Klement, N., Tavakkoli-Moghaddam, R.: Simulation-based optimization approach with scenario-based product sequence in a reconfigurable manufacturing system (RMS): a case study. IFAC-PapersOnLine 52(13), 2638–2643 (2019). 9th IFAC Conference on Manufacturing Modelling, Management and Control MIM 2019

    Article  Google Scholar 

  20. Rösiö, C., Aslam, T., Srikanth, K.B., Shetty, S.: Towards an assessment criterion of reconfigurable manufacturing systems within the automotive industry. Procedia Manuf. 28, 76–82 (2019). 7th International conference CARV 2018

    Article  Google Scholar 

  21. Sabioni, R.C., Daaboul, J., Le Duigou, J.: An integrated approach to optimize the configuration of mass-customized products and reconfigurable manufacturing systems. Int. J. Adv. Manuf. Technol. 115(1), 141–163 (2021). https://doi.org/10.1007/s00170-021-06984-w

    Article  Google Scholar 

  22. Singh, P.P., Madan, J., Singh, H.: Composite performance metric for product flow configuration selection of reconfigurable manufacturing system (RMS). Int. J. Prod. Res. 59(13), 3996–4016 (2021)

    Article  Google Scholar 

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Acknowledgments

Authors thank the financial support from the French National Research Agency (ANR) under the RODIC project, grant number ANR-21-CE10-0017.

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Correspondence to Pascal André .

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André, P., Cardin, O. (2024). A Core Reference Model for Applicable Reconfigurable Manufacturing Systems. In: Borangiu, T., Trentesaux, D., Leitão, P., Berrah, L., Jimenez, JF. (eds) Service Oriented, Holonic and Multi-Agent Manufacturing Systems for Industry of the Future. SOHOMA 2023. Studies in Computational Intelligence, vol 1136. Springer, Cham. https://doi.org/10.1007/978-3-031-53445-4_42

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