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Pohl, Matthias and Haertel, Christian and Staegemann, Daniel and Turowski, Klaus (2025) Categorization of Data Analytics Projects in Smart Manufacturing. In: IEEE International Conference on Big Data, BigData 2024, pp. 3153-3157. IEEE. 2024 IEEE International Conference on Big Data (Big Data), 2024-12-15 - 2024-12-18, Washington D.C., USA. doi: 10.1109/BigData62323.2024.10825954. ISBN 979-835036248-0.
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Abstract
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.
| Item URL in elib: | https://elib.dlr.de/211459/ | ||||||||||||||||||||
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| Document Type: | Conference or Workshop Item (Speech) | ||||||||||||||||||||
| Title: | Categorization of Data Analytics Projects in Smart Manufacturing | ||||||||||||||||||||
| Authors: |
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| Date: | 16 January 2025 | ||||||||||||||||||||
| Journal or Publication Title: | IEEE International Conference on Big Data, BigData 2024 | ||||||||||||||||||||
| Refereed publication: | Yes | ||||||||||||||||||||
| Open Access: | No | ||||||||||||||||||||
| Gold Open Access: | No | ||||||||||||||||||||
| In SCOPUS: | Yes | ||||||||||||||||||||
| In ISI Web of Science: | No | ||||||||||||||||||||
| DOI: | 10.1109/BigData62323.2024.10825954 | ||||||||||||||||||||
| Page Range: | pp. 3153-3157 | ||||||||||||||||||||
| Publisher: | IEEE | ||||||||||||||||||||
| ISBN: | 979-835036248-0 | ||||||||||||||||||||
| Status: | Published | ||||||||||||||||||||
| Keywords: | Smart Manufacturing, data analytics, projects, predictive maintenance, framework | ||||||||||||||||||||
| Event Title: | 2024 IEEE International Conference on Big Data (Big Data) | ||||||||||||||||||||
| Event Location: | Washington D.C., USA | ||||||||||||||||||||
| Event Type: | international Conference | ||||||||||||||||||||
| Event Start Date: | 15 December 2024 | ||||||||||||||||||||
| Event End Date: | 18 December 2024 | ||||||||||||||||||||
| Organizer: | IEEE | ||||||||||||||||||||
| HGF - Research field: | Aeronautics, Space and Transport | ||||||||||||||||||||
| HGF - Program: | Space | ||||||||||||||||||||
| HGF - Program Themes: | other | ||||||||||||||||||||
| DLR - Research area: | Raumfahrt | ||||||||||||||||||||
| DLR - Program: | R - no assignment | ||||||||||||||||||||
| DLR - Research theme (Project): | R - no assignment | ||||||||||||||||||||
| Location: | Jena | ||||||||||||||||||||
| Institutes and Institutions: | Institute of Data Science Institute of Data Science > Data Management and Enrichment | ||||||||||||||||||||
| Deposited By: | Pohl, Matthias | ||||||||||||||||||||
| Deposited On: | 06 Jan 2025 11:26 | ||||||||||||||||||||
| Last Modified: | 26 Feb 2025 11:29 |
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