Use process data sensibly with manageable effort
Project content
Get to know the possibilities of AI together with the experts from Kistler Instrumente GmbH and KIMW.
Determination and discussion of relevant machine and process data. Use of AI-supported software to identify disturbance variables and potential for improvement.
Why you should attend
- Recognize requirements for the successful use of data-based quality assurance
- Identify relevant data records and create process transparency
- Targeted detection of reasons for rejects and optimization potential
- Derive well-founded decisions for the introduction of the right technologies
- Improve process stability (e.g. in the event of material fluctuations due to the use of recyclate) using data-based methods
- Building skills for the successful implementation of AI projects in production
- Providing employees with the best possible support
- Expand network in the subject area
Project start: November 2024
Duration: 1 year
