Categorization of Data Analytics Projects in Smart Manufacturing
The emergence of the Internet of Things and Industry 4.0 has transformed production processes, with data analytics and AI playing key roles. Smart Manufacturing projects often appear ambiguous due to interconnected terms. Data analytics is foundational, involving specific goals, evaluation of current infrastructure, and small-scale pilot projects. Having a structured map tailored to Smart Manufacturing is invaluable for identifying an optimal starting point for data analytics projects. The primary objective is to provide a comprehensive overview of data analytics in the context of Smart Manufacturing and to answer the research question regarding identified categories and data analytics projects.
Authors
- Daniel Staegemann (ORCID: https://orcid.org/0000-0001-9957-1003)
- Matthias Pohl (ORCID: https://orcid.org/0000-0002-6241-7675)
- Christian Haertel (ORCID: https://orcid.org/0009-0001-4904-5643)
- Klaus Turowski (ORCID: https://orcid.org/0000-0002-4388-8914)
Institutions
- Deutsches Zentrum für Luft- und Raumfahrt e. V. (DLR) (DE)
- Otto-von-Guericke-Universität Magdeburg (DE)
Publication Details
- Published
- 2024-12-15
- DOI
- https://doi.org/10.1109/bigdata62323.2024.10825954
- Citations
- 2
- Primary Topic
- Digital Transformation in Industry
- Type
- article
- Field-Weighted Citation Impact
- 0.70