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Prädiktive Prozessüberwachung in der Batterieproduktion

URN to cite this document: urn:nbn:de:bvb:703-epub-7519-4

Title data

Röglinger, Maximilian ; Fehrer, Tobias ; Meyer-Hollatz, Tim ; Luippold, Carl:
Prädiktive Prozessüberwachung in der Batterieproduktion.
Bayreuth , 2024 . - 30 P.

[thumbnail of Leitfaden KI ProBatt v1.1.pdf]
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Name: Leitfaden KI ProBatt v1.1.pdf
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Project information

Project title:
Project's official title
Project's id
KIproBatt - Intelligente Batteriezellfertigung mit KI-gestütztem Prozessmonitoring auf Basis einer generischen Systemarchitektur
03XP0309B

Project financing: Bundesministerium für Bildung und Forschung

Further data

Item Type: Project report, research report, survey
Keywords: Process Mining; Battery Cell Production; Smart Manufacturing
DDC Subjects: 000 Computer Science, information, general works > 004 Computer science
600 Technology, medicine, applied sciences > 670 Manufacturing
Institutions of the University: Faculties > Faculty of Law, Business and Economics > Department of Business Administration > Chair Business Administration XVII - Information Systems and Value-Based Business Process Management > Chair Information Systems and Value-Based Business Process Management - Univ.-Prof. Dr. Maximilian Röglinger
Research Institutions > Affiliated Institutes > FIM Research Center for Information Management
Faculties
Faculties > Faculty of Law, Business and Economics
Faculties > Faculty of Law, Business and Economics > Department of Business Administration
Faculties > Faculty of Law, Business and Economics > Department of Business Administration > Chair Business Administration XVII - Information Systems and Value-Based Business Process Management
Research Institutions
Research Institutions > Affiliated Institutes
Language: German
Originates at UBT: Yes
URN: urn:nbn:de:bvb:703-epub-7519-4
Date Deposited: 22 Mar 2024 09:50
Last Modified: 22 Mar 2024 09:50
URI: https://epub.uni-bayreuth.de/id/eprint/7519

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