RESEARCH ACTIVITIES

Industry 4.0 and Internet of Things

BigPro

Big data and event-based adjustment for the configuration

of resilient production systems

Funded by

Federal Ministry of Education and Research (BMBF)

Description

Develops a big data platform with access to real-time production process with data pattern detection. It can be used as a proactive disturbance management system to help identify production dysfunctions early or even prevent them.

Partners
  • i2solutions GmbH
  • Asseco Solutions AG 
  • Werkzeugmaschinenlabor der RWTH Aachen (WZL) 
  • Demonstrationsfabrik an der RWTH Aachen 
  • FZI Forschungszentrum Informatik am Karlsruher Institut für Technologie 
  • cognesys gmbh 
  • Robert Bosch GmbH 
  • Auto Heinen
Duration

September 2014 to November  2017

More information www.fir.rwth-aachen.de

DISRUPT

Decentralized Architectures For Optimized Operations Via

Virtualized Processes and Supply-Chain Collaboration

Funded by

European Commission

Description

Aims to spearhead the transition to the next generation manufacturing paradigm by facilitating the vision and execution of a "Smart Factory": Isolated, optimized cells will come together as a fully integrated, automated, and optimized production flow, leading to greater efficiencies and changing traditional production relationships among suppliers, producers, and customers, as well as between human and machine.

Partners
  • Centro Ricerche Fiat SCPA, Italy
  • Arcelik A.S., Turkey
  • Athens Technology Center SA, Greece
  • Boc Asset Management GmbH, Austria
  • Simplan AG, Germany
  • University of Manchester, UK
  • Consiglio Nazionale delle Ricerche, Italy
  • Athens University of Economics and Business - Research Center, Greece
Duration

September 2016 to August 2019

More information www.disrupt-project.eu/

HEADS

Heterogeneous and Distributed Services For The Future

Computing Continuum

Funded by

European Commission

Description

Aims to provide a cost-effective and integrated programming model, which allows full exploitation of the capabilities of the individual open, legacy or proprietary devices and platforms, composing the future computing continuum.

Partners
  • Athens Technology Center S.A., Greece
  • INRIA, France
  • SINTEF, Norway
  • Tellu, Norway  
Duration

October 2013 to March 2017

More information heads-project.eu/

iPRODICT

Intelligent Process Prediction Based On Big Data Analytics

Funded by

Federal Ministry of Education and Research (BMBF)

Description

Uses forecast calculations, predictive analytics and big data analysis techniques gathered from sensor networks to predict the outcome of a process in real-time. iProdict enables to proactively customize and adapt processes to suit to any particular situation.

Partners
  • DFKI
  • Blue Yonder GmbH
  • Fraunhofer-Institut für Intelligente Analyse- und Informationssysteme
  • Pattern Recognition Company GmbH
  • Saarstahl AG
Duration

September 2014 to August 2017

More information www.iprodict-projekt.de/

PrEstoCloud

Proactive Cloud Resources Management at the Edge for Efficient

Real-Time Big Data Processing

Funded

European Commission

Description

Aims to combine real-time big data, cloud computing and fog computing research in order to provide an innovative solution for addressing the very complex requirement for cloud-based, adaptive real-time big data processing.

Partners
  • Company for provision of services, research and development Nissatech innovation centre DOO, Serbia
  • ActiveEon, France
  • Institute of Communication and Computer Systems (National Technical University of Athens), Greece
  • Centre National de la Recherche Scientifique, France
  • GIOUMPITEK Meleti Schediasmos Ylopoiisi kai Ergon Pliroforikis EPE (UBITECH), Greece
  • Advanced Integrated Technology Solutions and Services Ltd, Cyprus
  • LiveU Ltd., Israel
  • N.AMRAM Technologies Ltd., Israel
  • Jozef Stefan Institute, Slovenia
  • CVS Mobile, IT Solutions, Inc., Slovenia  
Duration January 2017 to December 2019
Support loginSupport login