IMPROVE Brochure

Creating the Factory of the Future with Innovative 4.0 Solutions

IMPROVE Flyers Manufacturers

Factory 4.0

IMPROVE MANUFACTURING WITH VIRTUAL ALL-ROUND SOLUTIONS

IMPROVE Flyers Engineers

New Data-based Technologies

IMPROVE: PROVIDING ENGINEERS WITH 4.0 SOLUTIONS

IMPROVE Flyers Producers

Boosting Industrial Production

IMPROVE PRODUCTION THROUGH INNOVATIVE 4.0 TECHNOLOGIES

IMPROVE Flyer IT

Industry 4.0

IT SOFTWARE FOR THE VIRTUAL FACTORY OF THE FUTURE

IMPROVE Flyers Scientists

Innovation through Research

BUILDING THE VIRTUAL FACTORY OF THE FUTURE ON RESEARCH

IMPROVE - Innovative Modelling Approaches for Production Systems to Raise Validatable Efficiency

Intelligent Methods for the Factory of the Future

Oliver NiggemannPeter Schüller

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This open access work presents selected results from the European research and innovation project IMPROVE which yielded novel data-based solutions to enhance machine reliability and efficiency in the fields of simulation and optimization, condition monitoring, alarm management, and quality prediction.

The Editors

Prof. Dr. Oliver Niggemann is Professor for Artificial Intelligence in Automation. His research interests are in the fields of machine learning and data analysis for Cyber-Physical Systems and in the fields of planning and diagnosis of distributed systems. He is a board member of the research institute inIT and deputy director at the Fraunhofer Application Center Industrial Automation INA located in Lemgo.

Dr. Peter Schüller is postdoctoral researcher at Technische Universität Wien. His research interests are hybrid reasoning systems that combine Knowledge Representation and Machine Learning and applications in the fields of Cyber-Physical systems and Natural Language Processing.

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Factsheet

IMPROVE

Full Title

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Innovative Modeling Approaches for Production Systems to raise validatable efficiency

Programme

H2020- FoF-08-2015: ICT-enabled modelling, simulation, analytics and forecasting technologies

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