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Social Dimensions in CPS & IoT Based Automated Production Systems

Author

Listed:
  • Hind Bril El-Haouzi

    (CRAN CNRS UMR 7039, Université de Lorraine, F-88000 Epinal, France)

  • Etienne Valette

    (CRAN CNRS UMR 7039, Université de Lorraine, F-88000 Epinal, France)

  • Bettina-Johanna Krings

    (Institute of Technology Assessment and Systems Analysis, Karlsruhe Institute of Technology, D-76021 Karlsruhe, Germany)

  • António Brandão Moniz

    (Nova School of Sciences and Technology, CICS.NOVA University Nova Lisbon, P-2829-516 Caparica, Portugal)

Abstract

Since the 1970s, the application of microprocessor in industrial machinery and the development of computer systems have transformed the manufacturing landscape. The rapid integration and automation of production systems have outpaced the development of suitable human design criteria, creating a deepening gap between humans and systems in which human was seen as an important source of errors and disruptions. Today, the situation seems different: the scientific and public debate about the concept of Industry 4.0 has raised awareness about the central role humans have to play in manufacturing systems, the design of which must be considered from the very beginning. The future of industrial systems, as represented by Industry 4.0, will rely on the convergence of several research fields such as Intelligent Manufacturing Systems (IMS), Cyber-Physical Systems (CPS), Internet of Things (IoT), but also socio-technical fields such as social approaches within technical systems. This article deals with different human social dimensions associated with CPS and IoT and focuses on their conceptual evolution regarding automated production systems’ sociability, notably by bringing humans back in the loop. Hereby, this paper aims to take stock of current research trends to show the importance of integrating human operators as a part of a socio-technical system based autonomous and intelligent products or resources. Consequently, different models of sociability as a way to integrate humans in the broad sense and/or the develop future automated production systems have been identified from the literature and analysed.

Suggested Citation

  • Hind Bril El-Haouzi & Etienne Valette & Bettina-Johanna Krings & António Brandão Moniz, 2021. "Social Dimensions in CPS & IoT Based Automated Production Systems," Societies, MDPI, vol. 11(3), pages 1-15, August.
    • Handle: RePEc:gam:jsoctx:v:11:y:2021:i:3:p:98-:d:613269
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    References listed on IDEAS

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    1. António B. Moniz & Bettina-Johanna Krings, 2016. "Robots Working with Humans or Humans Working with Robots? Searching for Social Dimensions in New Human-Robot Interaction in Industry," Societies, MDPI, vol. 6(3), pages 1-21, August.
    2. David H. Autor & Frank Levy & Richard J. Murnane, 2003. "The skill content of recent technological change: an empirical exploration," Proceedings, Federal Reserve Bank of San Francisco, issue Nov.
    3. Daron Acemoglu & Pascual Restrepo, 2018. "The Race between Man and Machine: Implications of Technology for Growth, Factor Shares, and Employment," American Economic Review, American Economic Association, vol. 108(6), pages 1488-1542, June.
    4. Dimitris Mourtzis, 2020. "Simulation in the design and operation of manufacturing systems: state of the art and new trends," International Journal of Production Research, Taylor & Francis Journals, vol. 58(7), pages 1927-1949, April.
    5. Gries, Thomas & Naudé, Wim, 2021. "The Race of Man and Machine: Implications of Technology When Abilities and Demand Constraints Matter," IZA Discussion Papers 14341, Institute of Labor Economics (IZA).
    6. Arntz, Melanie & Gregory, Terry & Zierahn, Ulrich, 2017. "Revisiting the risk of automation," Economics Letters, Elsevier, vol. 159(C), pages 157-160.
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    Cited by:

    1. Sarah Maggioli & Liliana Cunha, 2023. "A Systematic Review Discussing the Sustainability of Men and Women’s Work in Industry 4.0: Are Technologies Gender-Neutral?," Sustainability, MDPI, vol. 15(7), pages 1-17, March.

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