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Cyber-Physical Systems in the Context of Industry 4.0: A Review, Categorization and Outlook

Author

Listed:
  • Sascha Julian Oks

    (Friedrich-Alexander-Universität Erlangen-Nürnberg)

  • Max Jalowski

    (Friedrich-Alexander-Universität Erlangen-Nürnberg)

  • Michael Lechner

    (Friedrich-Alexander-Universität Erlangen-Nürnberg)

  • Stefan Mirschberger

    (Deloitte)

  • Marion Merklein

    (Friedrich-Alexander-Universität Erlangen-Nürnberg)

  • Birgit Vogel-Heuser

    (Technische Universität München)

  • Kathrin M. Möslein

    (Friedrich-Alexander-Universität Erlangen-Nürnberg)

Abstract

Cyber-physical systems (CPS) offer great potential for the digital transformation of industrial value creation in the context of Industry 4.0. They unify and integrate several technological approaches, including big data analysis and artificial intelligence, enhancing real-time monitoring and control of manufacturing processes. An extensive knowledge base formed by various disciplines, including information systems, engineering, and computer science, already exists for CPS. However, this knowledge has not been holistically captured and structured to date. To address this research gap, this study conducts a large-scale literature review of 2365 papers representing the current state of the research and then develops a novel categorization on industrial CPS with 10 sections, 32 areas, and 246 fields. The categorization is presented in hierarchical graphical form and can also be utilized as a web tool. To conclude, a perspective on future research needs and potentials to enhance Industry 4.0 in both research and practice are offered.

Suggested Citation

  • Sascha Julian Oks & Max Jalowski & Michael Lechner & Stefan Mirschberger & Marion Merklein & Birgit Vogel-Heuser & Kathrin M. Möslein, 2024. "Cyber-Physical Systems in the Context of Industry 4.0: A Review, Categorization and Outlook," Information Systems Frontiers, Springer, vol. 26(5), pages 1731-1772, October.
    • Handle: RePEc:spr:infosf:v:26:y:2024:i:5:d:10.1007_s10796-022-10252-x
    DOI: 10.1007/s10796-022-10252-x
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    References listed on IDEAS

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    1. Liao, Hailin & Wang, Bin & Li, Baibing & Weyman-Jones, Tom, 2016. "ICT as a general-purpose technology: The productivity of ICT in the United States revisited," Information Economics and Policy, Elsevier, vol. 36(C), pages 10-25.
    2. Stephan Berger & Björn Häckel & Lukas Häfner, 2021. "Organizing Self-Organizing Systems: A Terminology, Taxonomy, and Reference Model for Entities in Cyber-Physical Production Systems," Information Systems Frontiers, Springer, vol. 23(2), pages 391-414, April.
    3. Chaoyang Zhang & Zhengxu Wang & Kai Ding & Felix T.S. Chan & Weixi Ji, 2020. "An energy-aware cyber physical system for energy Big data analysis and recessive production anomalies detection in discrete manufacturing workshops," International Journal of Production Research, Taylor & Francis Journals, vol. 58(23), pages 7059-7077, December.
    4. Guodong Huang & Jie Chen & Yacob Khojasteh, 2021. "A cyber-physical system deployment based on pull strategies for one-of-a-kind production with limited resources," Journal of Intelligent Manufacturing, Springer, vol. 32(2), pages 579-596, February.
    5. Robert C Nickerson & Upkar Varshney & Jan Muntermann, 2013. "A method for taxonomy development and its application in information systems," European Journal of Information Systems, Taylor & Francis Journals, vol. 22(3), pages 336-359, May.
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    Cited by:

    1. Ling Li, 2024. "Industry 4.0 and Beyond," Information Systems Frontiers, Springer, vol. 26(5), pages 1581-1583, October.

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