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Data Analytics in Industry 4.0: A Survey

Author

Listed:
  • Lian Duan

    (Hofstra University)

  • Li Xu

    (Old Dominion University)

Abstract

Industry 4.0 is the fourth industrial revolution for decentralized production through shared facilities to achieve on-demand manufacturing and resource efficiency. It evolves from Industry 3.0 which focuses on routine operation. Data analytics is the set of techniques focus on gain actionable insight to make smart decisions from a massive amount of data. As the performance of routine operation can be improved by smart decisions and smart decisions need the support from routine operation to collect relevant data, there is an increasing amount of research effort in the merge between Industry 4.0 and data analytics. To better understand current research efforts, hot topics, and tending topics on this critical intersection, the basic concepts in Industry 4.0 and data analytics are introduced first. Then the merge between them is decomposed into three components: industry sectors, cyber-physical systems, and analytic methods. Joint research efforts on different intersections with different components are studied and discussed. Finally, a systematic literature review on the interaction between Industry 4.0 and data analytics is conducted to understand the existing research focus and trend.

Suggested Citation

  • Lian Duan & Li Xu, 2024. "Data Analytics in Industry 4.0: A Survey," Information Systems Frontiers, Springer, vol. 26(6), pages 2287-2303, December.
    • Handle: RePEc:spr:infosf:v:26:y:2024:i:6:d:10.1007_s10796-021-10190-0
    DOI: 10.1007/s10796-021-10190-0
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    References listed on IDEAS

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