Vertical data continuity with lean edge analytics for Industry 4.0 production
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Nine of these papers (i.e., [2,15,21,29,34,40,[49][50][51]) propose a data analytic solution as part of a CPS or IoT system.
“Nine of these papers (i.e., [2,15,21,29,34,40,[49][50][51]) propose a data analytic solution as part of a CPS or IoT system.”
From A Systematic Review of Data Quality in CPS and IoT for Industry 4.0 (2023) · cites this paper as [21]
Six primary studies [5,7,11,13,21,41] focus on data quality management in edge-based architecture levels (L2 and L3).
“Six primary studies [5,7,11,13,21,41] focus on data quality management in edge-based architecture levels (L2 and L3).”
From A Systematic Review of Data Quality in CPS and IoT for Industry 4.0 (2023) · cites this paper as [21]
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A Systematic Review of Data Quality in CPS and IoT for Industry 4.0
Goknil, A., Nguyen, P., Sen, S., Politaki, D., Niavis, H., Pedersen, K. J., Suyuthi, A., Anand, A., & Ziegenbein, A. (2023) · ACM Computing Surveys · doi:10.1145/3593043 · Cited by 68 · see citing works
- Authors
- Küfner, T., Schönig, S., Jasinski, R., & Ermer, A.
- Affiliations
- Fraunhofer Institute for Manufacturing Engineering and Automation (DE)
- University of Regensburg (DE)
- Corresponding author
- Schönig, Stefan
- ORCID
- Schönig, Stefan
- Venue
- Computers in Industry
- Publisher
- Elsevier BV
- Published
- 2021-02
- Volume
- 125
- Pages
- 103389
- ISSN
- 0166-3615 (ISSN-L)
- OpenAlex
- W3119378170
- Cited by
- 21
- References
- 33
- Citations by year
- 2026: 1 · 2025: 2 · 2024: 2 · 2023: 5 · 2022: 4 · 2021: 7
- FWCI
- 2.33
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Computers in Industry (publishedVersion)
- University of Regensburg Publication Server (University of Regensburg) (submittedVersion)
- ERef Bayreuth (University of Bayreuth) (submittedVersion)
- Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft) (submittedVersion)
- Fraunhofer-Publica (Fraunhofer-Gesellschaft) (submittedVersion)
- Topics
- Physical Sciences › Engineering › Industrial and Manufacturing Engineering › Digital Transformation in Industry
- Physical Sciences › Computer Science › Computer Networks and Communications › IoT and Edge/Fog Computing
- Social Sciences › Decision Sciences › Management Science and Operations Research › Impact of AI and Big Data on Business and Society
- Keywords
- Industry 4.0, production data, real-time data processing, decentralized systems, signal acquisition, data evaluation, industrial monitoring and control
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