Abstract
Reconfigurable Manufacturing Systems (RMSs) offer the ability to change organizations to fit changing contexts. Modularity, both physical and logical, is an essential feature of RMS. Not only because it allows a wide variety of use of the system, but also because it allows to determine the other characteristics of RMS. We propose in this article a new way of defining a configuration for RMS, based on modularity. The module-based view includes four aspects: physical, control, performance and simulation, taken at different levels: system, machines or component. The introduction of the virtual view of the module aim to align the proposition with the requirement of industry 4.0 (The RAMI 4.0 architecture). Simulation and performance concern the technical, ecological or even economical aspect of the system. The module-based view of the system allows a decomposition, a description and an accurate analysis of the system, that leads to a better knowledge of the system, its components and allows a better approach to the reconfiguration process: an industrial case study is presented for illustration. A reference data model emerged from module-based view of the system. The purpose of this reference model is to create a configuration database that can be used as input to a reconfiguration decision process.
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References
Koren, Y., et al.: Reconfigurable manufacturing systems: introduction. CIRP Ann. 48(2) (1999)
Lateef-Ur-rehman, A.: Manufacturing configuration selection using multicriteria decision tool. Int. J. Adv. Manuf. Technol. 65(5–8), 625–639 (2013)
Tang, L., Koren, Y., Yip-Hoi, D.M., Wang, W.: Computer-aided reconfiguration planning: an artificial intelligence-based approach. J. Comput. Inf. Sci. Eng. 3(6) (2016)
Wang, W., Koren, Y.: Design principles of scalable reconfigurable manufacturing systems. IFAC 46(9), 1411–1416 (2013)
El Maraghy, H.: Flexible and reconfigurable manufacturing systems paradigms. Flex. Serv. Manuf. J. 17(4 Special issue), 261–276 (2006)
Kanso, M., Berruet, P., Philippe, J.L.: A framework based on a high conception level to generate configurations in production systems. In: ICINCO 2010 - Proceedings of the 7th International Conference on Informatics Control, Automation Robotics, vol. 1, pp. 244–248 (2010)
Bhargav, A., Sridhar, C.N.V., Deva Kumar, M.L.S.: Study of production scheduling problem for Reconfigurable Manufacturing System (RMS). Mater. Today Proc. 4(8), 7406–7412 (2017)
Azab, A., ElMaraghy, H., Nyhuis, P., Pachow-Frauenhofer, J., Schmidt, M.: Mechanics of change: a framework to reconfigure manufacturing systems. CIRP J. Manuf. Sci. Technol. 6(2), 110–119 (2013)
Alsafi, Y., Vyatkin, V.: Ontology-based reconfiguration agent for intelligent mechatronic systems in flexible manufacturing. Robot. Comput. Integr. Manuf. 26(4), 381–391 (2010)
Michalos, G., Sipsas, P., Makris, S., Chryssolouris, G.: Decision making logic for flexible assembly lines reconfiguration. Robot. Comput. Integr. Manuf. 37, 233–250 (2016)
Mabkhot, M.M., Al-Samhan, A.M., Darmoul, S.: An information model to support reconfiguration of manufacturing systems. IFAC-PapersOnLine 49(5), 37–42 (2016)
Adolphs, P., et al.: Reference architecture model industrie 4.0 (rami4.0) (2015)
De Lamotte, F.F., Berruet, P., Philippe, J.L.: Using model engineering for the criticality analysis of reconfigurable manufacturing systems architectures. Int. J. Manuf. Technol. Manag. 11(3–4), 315–337 (2007)
Toguyeni, A.K.A., Berruet, P., Craye, E.: Models and algorithms for failure diagnosis and recovery in FMSs. Int. J. Flex. Manuf. Syst. 15(1), 57–85 (2003)
Capawa Fotsoh, E., Mebarki, N., Castagna, P., Berruet, P.: A classification for reconfigurable manufacturing systems. In: Benyoucef, L. (ed.) Reconfigurable Manufacturing Systems: From Design to Implementation. SSAM, pp. 11–28. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-28782-5_2
Chacón, E., Cardillo, J., Chacón, R., Zapata, G.: Planification en ligne pour les systèmes de production distribués: une approche par les systèmes holoniques (2012)
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)
Acknowledgments
This research work is supported by funding of the PhD program PERFORM (Fundamental research and development program resourcing on manufacturing) from the IRT Jules Verne (https://www.irt-jules-verne.fr/).
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Capawa Fotsoh, E., Mebarki, N., Castagna, P., Berruet, P., Gamboa, F. (2020). Towards a Reference Model for Configuration of Reconfigurable Manufacturing System (RMS). In: Lalic, B., Majstorovic, V., Marjanovic, U., von Cieminski, G., Romero, D. (eds) Advances in Production Management Systems. The Path to Digital Transformation and Innovation of Production Management Systems. APMS 2020. IFIP Advances in Information and Communication Technology, vol 591. Springer, Cham. https://doi.org/10.1007/978-3-030-57993-7_44
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DOI: https://doi.org/10.1007/978-3-030-57993-7_44
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