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Manufacturing Process Monitoring and Control in Industry 4.0

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Proceedings of 5th International Conference on the Industry 4.0 Model for Advanced Manufacturing

Part of the book series: Lecture Notes in Mechanical Engineering ((LNME))

Abstract

The use of advanced process planning methodologies has enabled manufacturers to predict and optimize manufacturing processes in the planning stage. However, process faults and non-optimal conditions are always inherent to the manufacturing environment. The advent of Industry 4.0 has given rise to cyber-physical systems wherein online process monitoring and control can be performed autonomously. This paper discusses process monitoring and control in the context of Industry 4.0. With the focus on digital connectivity driving Industry 4.0, the advantages of cloud-based computing and knowledge inferred from a plethora of manufacturing processes can be leveraged for process monitoring and control to improve production speed, quality, and reliability. This paper presents a holistic framework for process monitoring and control in the context of Industry 4.0, where macro-level process control is conducted in the cloud and device-level process control occurs at the edge. A case study of tool life enhancement using such a framework is presented. Limitations of process monitoring and control in the context of Industry 4.0 are discussed along with proposals for new avenues of research.

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Author information

Authors and Affiliations

  1. George W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology, 813 Ferst Drive NW, Atlanta, GA, 30332, USA

    Shreyes N. Melkote

Authors
  1. Vinh Nguyen
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  2. Shreyes N. Melkote
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Correspondence to Shreyes N. Melkote .

Editor information

Editors and Affiliations

  1. Department of Production Engineering, Royal Institute of Technology, Stockholm, Sweden

    Lihui Wang

  2. Faculty of Mechanical Engineering, University of Belgrade, Belgrade, Serbia

    Vidosav D. Majstorovic

  3. Department of Mechanical Engineering and Aeronautics, University of Patras, Patras, Greece

    Dimitris Mourtzis

  4. Department of Innovative Technologies, University of Applied Sciences and Arts, Manno, Switzerland

    Emanuele Carpanzano

  5. Department of Mechanical Engineering, Politecnico di Milano, Milan, Italy

    Govanni Moroni

  6. DMMM, Politecnico di Bari, Bari, Italy

    Luigi Maria Galantucci

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Nguyen, V., Melkote, S.N. (2020). Manufacturing Process Monitoring and Control in Industry 4.0. In: Wang, L., Majstorovic, V., Mourtzis, D., Carpanzano, E., Moroni, G., Galantucci, L. (eds) Proceedings of 5th International Conference on the Industry 4.0 Model for Advanced Manufacturing. Lecture Notes in Mechanical Engineering. Springer, Cham. https://doi.org/10.1007/978-3-030-46212-3_10

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  • DOI: https://doi.org/10.1007/978-3-030-46212-3_10

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-46211-6

  • Online ISBN: 978-3-030-46212-3

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