Abstract
The digital twin is not only a recent technology but also a polymorphic concept which generates a profusion of publications without real coherence because they relate to very different realities including various definitions, shapes, models and applications. If a wide variety of architectures are proposed, there is a significant lack of information on how to deploy a digital twin efficiently and how to define an appropriate architecture. We propose the first step of a complete deployment methodology consisting of a typology that defines the main criteria required to determine not only the digital twin components but also their organization. Based on different recent works that have been synthesized and completed, eleven criteria have been selected as representative of the set of usages and applications proposed in the literature. They will then allow us to propose a generic architecture that best meets the targeted application.
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References
Grieves, M.: Digital Twin: manufacturing excellence through virtual factory replication. Digital Twin White Paper (2014)
Tao, F., Zhang, M., et al.: Digital Twin driven smart manufacturing. Academic Press, Elsevier (2019)
Armendia, M., Ghassempouri, M., et al.: Twin-control—a digital twin approach to improve machine tools lifecycle. Springer, Switzerland (2019)
Gunal, M. M.: Simulation for industry 4.0—past, present, and future. Springer, Switzerland (2019)
Barbieri, C., West, S., et al.: Are practitioners and literature aligned about digital twin? In: 26th EurOMA conference operations adding value to society, Helsinki, Finland (2019)
Standard ISO/DIS 23247, Automation systems and integration—Digital Twin framework for manufacturing, Dec 2020
Boschert, S., Heinrich, C., et al.: Next generation Digital Twin. In: Proceedings of TMCE 2018, Las Palmas de Gran Canaria, Spain (2018)
Kritzinger, K., Karner, M., et al.: Digital Twin in manufacturing: a categorical literature review and classification. IFAC PapersOnLine 51–11, 1016–1022 (2018)
Lu, Y., Liu, C., et al.: Digital Twin-driven smart manufacturing: connotation, reference model, applications and research issues. Robot Comput Integr Manuf 61, 101837 (2020)
Negri, E., Fumagalli, L., et al.: A review of the roles of Digital Twin in CPS-based production systems. In: 27th International conference on flexible automation and intelligent manufacturing, FAIM2017, 27–30 June 2017, Modena, Italy (2017)
Uhlenkamp, J.F., Hribernik, K., et al.: Digital Twin applications—first systemization of their dimensions. In: IEEE international conference on engineering, technology and innovation ICE/ITMC19 (2019)
Julien, N., Martin, E., How to characterize a Digital Twin: a usage-driven classification. In: Proceedings of the 17th IFAC symposium on information control problems in manufacturing, Budapest, Hungary, June 2021
Lee, J., Bagheri, B.: A cyber-physical systems architecture for industry4.0-based manufacturing systems. Manuf Lett Elsevier 3, 18–23 (2015)
Grieves, M., Vickers, J.: Digital Twin: mitigating unpredictable, undesirable emergent behavior in complex systems. In: Kahlen, F.J., Flumerfelt, S., Alves, A. (eds.) Transdisciplinary perspectives on complex systems. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-38756-7_4
Schroeder, G., Steinmetz, C., et al.: Digital Twin connectivity topologies. In: Proceedings of the 17th IFAC symposium on information control problems in manufacturing, Budapest, Hungary, June 2021
Traoré, M. K.: Unifying Digital Twin framework: simulation-based proof-of-concept. In: Proceedings of the 17th IFAC symposium on information control problems in manufacturing, Budapest, Hungary, June 2021
Lu, Y., Morris, K.C. et al.: Current standards landscape for smart manufacturing systems. NIST Report, NISTIR 8107 (2016)
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Julien, N., Martin, E. (2022). Typology of Manufacturing Digital Twins: A First Step Towards a Deployment Methodology. In: Borangiu, T., Trentesaux, D., Leitão, P., Cardin, O., Joblot, L. (eds) Service Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future. SOHOMA 2021. Studies in Computational Intelligence, vol 1034. Springer, Cham. https://doi.org/10.1007/978-3-030-99108-1_12
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DOI: https://doi.org/10.1007/978-3-030-99108-1_12
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