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Digitalization platform for data-driven quality management in multi-stage manufacturing systems

Author

Listed:
  • Marc-André Filz

    (Technische Universität Braunschweig)

  • Jan Philipp Bosse

    (Technische Universität Braunschweig)

  • Christoph Herrmann

    (Technische Universität Braunschweig)

Abstract

Digital transformation is driving the current technological trends in manufacturing. An integral constituent is a communication between machines, between machines and humans, or between machines and products. This extensive communication involves large volumes of data. Many manufacturers apply data analytics (e.g., for quality management or improvement purposes) to translate the data into a business value. However, isolated, rigid, and area-specific IT solutions often carry this out. Today’s complex manufacturing requires quality management approaches that constitute a holistic view of and understanding of process–product interactions along the process chain instead of focusing solely on single processes. A novel platform approach to support quality management in manufacturing systems is proposed in this paper to overcome this deficit. It integrates state-of-the-art concepts of IT with modeling approaches for planning and operation of quality management. A conceptual framework and the technical architecture for implementing a digitalization platform are presented in this regard. Moreover, the approach is validated and implemented within a web application based on a use case of data-driven quality management in electronics production.

Suggested Citation

  • Marc-André Filz & Jan Philipp Bosse & Christoph Herrmann, 2024. "Digitalization platform for data-driven quality management in multi-stage manufacturing systems," Journal of Intelligent Manufacturing, Springer, vol. 35(6), pages 2699-2718, August.
    • Handle: RePEc:spr:joinma:v:35:y:2024:i:6:d:10.1007_s10845-023-02162-9
    DOI: 10.1007/s10845-023-02162-9
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    References listed on IDEAS

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    1. Erik Brynjolfsson & Kristina McElheran, 2016. "The Rapid Adoption of Data-Driven Decision-Making," American Economic Review, American Economic Association, vol. 106(5), pages 133-139, May.
    2. Abraham, Rene & Schneider, Johannes & vom Brocke, Jan, 2019. "Data governance: A conceptual framework, structured review, and research agenda," International Journal of Information Management, Elsevier, vol. 49(C), pages 424-438.
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