Correlation of Production Parameters
IoT-supported analyses examine the relationships between machine settings and product quality. This data helps to identify faulty processes and make targeted adjustments to ensure consistently high quality.
These people have implemented this use case
Contacts from our partner companies. Open a profile to get in touch directly.
Henning Wilms
Managing Director
ENLYZE GmbH
5 projectsGet in touch
Frederic Schum
Vice President Digital Solutions
ALD Vacuum Technologies GmbH
3 projectsGet in touch
Julius Scheuber
Co-Founder
ENLYZE GmbH
3 projectsGet in touch
Christoph Schneider
Vice President Product Management
ifm-Unternehmensgruppe
2 projectsGet in touch
Dr. Florian Probst
Director IoT Portfolio Strategy
Cumulocity GmbH
2 projectsGet in touch
Florian Krcma
Presales Consultant Digital Business Solutions
A1 Digital
2 projectsGet in touch
Lukas Schattenberg
Sales Manager for the DACH region
IXON
2 projectsGet in touch
Philipp König
Product Marketing Manager
A1 Digital
2 projectsGet in touch
Rica Holzmann
Managing Director
soffico GmbH
2 projectsGet in touch
Assets where this use case was implemented
Machines, devices and plants from the projects. The number shows how often.
How have other companies implemented this use case?
Discover verified projects from our network
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Making inaccessible machine data visible – reducing rejects, increasing quality
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