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Digital Twin for Production Systems: A Literature Perspective

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Service Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future (SOHOMA 2021)

Part of the book series: Studies in Computational Intelligence ((SCI,volume 1034))

Abstract

Digital Twin is one of the keys enabling technologies of the fourth industrial revolution. Alongside with the cyber-physical systems it is expected to widen the perspectives of smart manufacturing development and for production systems in particular. For these systems on-going state monitoring, simulation and prediction of manufacturing operations are crucial to improve the production efficiency and flexibility. Moreover, through the principles of system engineering, Digital Twin establishes interconnection and interoperability between cyber and physical environments allowing humans to act confidently based on accurately analysed data and verified simulation models. In order to design and implement Digital Twin the architecture and main components must be identified.

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Author information

Authors and Affiliations

  1. Institut National des Sciences Appliquées de Lyon, Université de Lyon, E4570, Lyon, France

    Ksenia Pystina, Aicha Sekhari, Lilia Gzara & Vincent Cheutet

Authors
  1. Ksenia Pystina
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  2. Aicha Sekhari
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  3. Lilia Gzara
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  4. Vincent Cheutet
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Corresponding author

Correspondence to Ksenia Pystina .

Editor information

Editors and Affiliations

  1. Faculty of Automatic Control and Computer Science, University Politehnica of Bucharest, Bucharest, Romania

    Theodor Borangiu

  2. LAMIH UMR CNRS 8201, Polytechnic University Hauts de France, Valenciennes, France

    Damien Trentesaux

  3. Research Centre in Digitalization and Intelligent Robotics, Polytechnic Institute of Bragança, Bragança, Portugal

    Paulo Leitão

  4. LS2N, UMR CNRS 6004, IUT de Nantes, University of Nantes, Carquefou, France

    Olivier Cardin

  5. Arts et Métiers Institute of Technology LISPEN, HESAM Université UBFC, Cluny, France

    Laurent Joblot

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Pystina, K., Sekhari, A., Gzara, L., Cheutet, V. (2022). Digital Twin for Production Systems: A Literature Perspective. 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_8

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