Kuhn M, Franke J (2021)
Publication Type: Journal article, Original article
Publication year: 2021
Book Volume: 6185
Pages Range: 1-18
Journal Issue: 1
DOI: 10.1080/0951192X.2021.1901320
Modern industrial production systems are facing the challenge of interconnecting and exploiting
the increasing amount of data from smart products, software systems, and IIoT devices. One of the
main tasks in this context is the implementation of a data-continuous traceability system, which
interconnects the heterogeneous data objects over the entire production flow. While traceability
maturity is already high in regulated and process-driven industries, the established traceability
solutions cannot be successfully applied to customized and volatile industries. In this research,
a graph-based traceability modeling methodology is presented that allows the systematic development
of data continuity and integration in manufacturing. Based on the traceability methodology,
the graph data model and architecture are specified, which are aligned to the requirements of
customized and complex manufacturing systems. The model is implemented and validated based
on a Neo4j graph database for the use case of the manufacturing process of automotive electrical
systems. This research overcomes the shortcomings of state-of-the-art traceability models by
shifting the focus to the relationships between traceability-relevant data objects. The proposed
graph-based traceability model is able to capture multi-hierarchical product structures and is less
dependent on physical object identification, making it more applicable to customized and complex
manufacturing.
APA:
Kuhn, M., & Franke, J. (2021). Data continuity and traceability in complex manufacturing systems: a graph-based modeling approach. International Journal of Computer Integrated Manufacturing, 6185(1), 1-18. https://dx.doi.org/10.1080/0951192X.2021.1901320
MLA:
Kuhn, Marlene, and Jörg Franke. "Data continuity and traceability in complex manufacturing systems: a graph-based modeling approach." International Journal of Computer Integrated Manufacturing 6185.1 (2021): 1-18.
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