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champI4.0ns

The champI4.0ns project promotes the use of production-related data in the fields of traceability, planning and control, and quality assurance in the timber industry.

The champI4.0ns project promotes the use of production-related data in the fields of traceability, planning and control, and quality assurance in the timber industry. Examples from the timber industry are used to show how data can be used intelligently and confidently in a federated ecosystem. The aim is to implement and document demonstrators, further develop and apply big data technologies, help shape and apply guidelines and standards, build skills and capacities, and promote exchange between stakeholders.

Project goals & contents:

The champI4.0ns project brings together data-driven innovations with practical applications along the value chain originating from wood as a raw material. Partners from Austria and Germany are pooling their expertise to actively advance the manufacturing industry. Through close cooperation with representatives of the value chain, champI4.0ns aims to make a significant contribution in this area.

The wood industry is an important economic sector in both Austria and Germany. Wood is a sustainable and future-oriented material, but at the same time, processing this raw material is very machine- and energy-intensive, which is why increasing efficiency and conserving resources are essential. The variability of this renewable raw material poses a challenge in numerous production processes, but one that can be overcome with the help of data. Companies in the wood industry vary greatly in their level of digitalisation. Small and medium-sized enterprises in particular run the risk of falling behind the competition. This is where ‘champI4.0ns’ aims to make a contribution by using the wood industry as a basis for defining cross-sector best practices for intelligent and confident data use.

Antragsgrafik - Steigerung der Wettbewerbsfähigkeit von produzierenden Unternehmen durch Verbesserungen bei der Erfassung von Daten, der Analyse von Daten sowie bei der Datensouveränität
Antragsgrafik - Steigerung der Wettbewerbsfähigkeit von produzierenden Unternehmen durch Verbesserungen bei der Erfassung von Daten, der Analyse von Daten sowie bei der Datensouveränität

Project management:

Dr. Martin Riegler
DIin Sarah Ritter

Project partners:

Austria: Fraunhofer Austria, Joanneum Research, Donau Universität Krems, Data Intelligence Offensive, Business Upper Austria, Semantic Web Company, nexyo, IoT40, NET-Automation, ADH Mölltal Möbel, Weitzer Woodsolutions und Hasslacher
Germany: Karlsruher Institut für Technologie, RWTH Aachen, Pfleiderer, Siempelkamp und Siemens (assoziiert)

Project periode:

May 2022 – April 2026

Project budget:

EUR 8.600.000,00

Research programme / Project ID:

FFG funding number 883417

Funding:

The project is funded by the Federal Ministry for Innovation, Mobility and Infrastructure (BMIMI) in Austria and the Federal Ministry for Economic Affairs and Energy (BMWE) in Germany.

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