In the lead project Machine Learning for Production (ML4P), we assume that performance in modern production facilities - both in the process and piece goods manufacturing industries - can be optimized with the help of machine learning.

Under the auspices and coordination of Fraunhofer IOSB, several Fraunhofer Institutes are pooling their application experience and expertise in machine learning to develop solutions for industry. ML4P will formulate intelligent methods to meet the needs of industry and pave the way for flexible, fast-learning systems. A "learning machine" could, for example, include the installation of intelligent components or the efficient, holistic handling of very large amounts of data. 

Objectives of ML4P:

• Development of a tool-supported process model
• Realization of a software tool with which the current status is recorded and analyzed in order to identify possible optimization potentials
• Derivation and selection of suitable machine learning processes in production

Participating institutes of the Fraunhofer Group for Production:

Fraunhofer Institute for Factory Operation
and Automation IFF

Fraunhofer Institute for Machine Tools and Forming Technology IWU

Further information on the ML4P flagship project:

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