AIM4M: MLOps strukturiert im Produktionsumfeld/AIM4M: Structured MLOps for Manufacturing AI
Table of contents
Bibliographic information

Open Access Full access
wt Werkstattstechnik online
Volume 115 (2025), Issue 09
- Authors:
- | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
- Publisher
- VDI fachmedien, Düsseldorf
- Copyright Year
- 2025
- ISSN-Online
- 1436-4980
- ISSN-Print
- 1436-4980
Chapter information
Open Access Full access
Volume 115 (2025), Issue 09
AIM4M: MLOps strukturiert im Produktionsumfeld/AIM4M: Structured MLOps for Manufacturing AI
- Authors:
- | |
- ISSN-Print
- 1436-4980
- ISSN-Online
- 1436-4980
- Preview:
Implementing AI in manufacturing does not necessarily fail because of model creation but is often due to a lack of reliable operation within production environments. AI Asset Management for Manufacturing (AIM4M) is a process model for the AI lifecycle in cyber-physical production systems (CPPS) with a focus on operationalization. It supplements the Machine Learning Operations (MLOps) approach from IT with CPPS-specific characteristics – as a practical orientation framework.
Bibliography
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