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Modelling the Dynamics of a Digital Twin

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Production Research (ICPR-Americas 2020)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1408))

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Abstract

“Digital twining” is one the main ways of establishing data channels in cyber-physical systems using both the outputs of running a virtual model and real time data collected by sensors. The purpose to this paper is to outline the digital twin of a cyber-physical production system. We apply the System Dynamics paradigm to the case of a shop-floor factory devoted to cloud manufacturing. The digital twin uses data from the real production line, providing assistance to maintenance procedures triggered by inconsistencies between the real and the virtual processes.

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Author information

Authors and Affiliations

  1. Dpto. de Ciencias de la Administración, Universidad Nacional del Sur, Bahía Blanca, Argentina

    Marisa Analía Sánchez

  2. Dpto. de Ingeniería, Universidad Nacional del Sur, INMABB-UNS-CONICET, Bahía Blanca, Argentina

    Daniel Rossit

  3. Dpto. de Economía, Universidad Nacional del Sur, INMABB-UNS-CONICET, Bahía Blanca, Argentina

    Fernando Tohmé

Authors
  1. Marisa Analía Sánchez
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  2. Daniel Rossit
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  3. Fernando Tohmé
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Corresponding author

Correspondence to Marisa Analía Sánchez .

Editor information

Editors and Affiliations

  1. Universidad Nacional del Sur and CONICET, Bahía Blanca, Argentina

    Daniel Alejandro Rossit

  2. Universidad Nacional del Sur and CONICET, Bahía Blanca, Argentina

    Fernando Tohmé

  3. University of La Sabana, Chía, Colombia

    Gonzalo Mejía Delgadillo

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Sánchez, M.A., Rossit, D., Tohmé, F. (2021). Modelling the Dynamics of a Digital Twin. In: Rossit, D.A., Tohmé, F., Mejía Delgadillo, G. (eds) Production Research. ICPR-Americas 2020. Communications in Computer and Information Science, vol 1408. Springer, Cham. https://doi.org/10.1007/978-3-030-76310-7_19

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  • DOI: https://doi.org/10.1007/978-3-030-76310-7_19

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-76309-1

  • Online ISBN: 978-3-030-76310-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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