Fields of Application

Industry 4.0

“Industry 4.0” describes the 4th Industrial Revolution through the introduction of modern information and communication technologies in production. The DFKI is regarded as the decisive founder of this movement. This far-reaching paradigm shift was first publicly named in 2011 by Wolfgang Wahlster, Henning Kagermann and Wolf-Dieter Lukas. The term became the name of the Federal Government's high-tech strategy and a synonym for the production of the future worldwide. Since 2005, the technology initiative SmartFactoryKL e.V., based at the DFKI in Kaiserslautern, has been researching and developing such technologies. The factory of the future is flexible, safe and produces both large series and customized individual products with the optimal use of resources. Humans work hand in hand with robots in hybrid teams and are supported in their activities by intelligent assistance systems.

News

Research in the field of quantum computing (QC) is registering rapid progress and has been raising expectations for use in industrial production…

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On 28 April 2022, the largest decentralized German-Czech testbed for distributed production in the paradigm of Industry 4.0 was inaugurated at the…

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Einen Blick in die Zukunft zu werfen. Für Unternehmen würde dies bedeuten, dass man beispielsweise im Voraus weiß, ab wann eine Maschine Ausschuss…

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Projects

Integrated Verification, Simulation and Visualization for Industrial Applications

Realizing the idea of Industrie 4.0 requires the fast and reliable changeover of cyber-physical systems (CPS). The overall goal of the INVERSIV project is the development of a system for validating…

Multiadaptive Dialogue Managementfor Cyber-physical Environments

Currently, networked cyberphysical systems are the basis for intelligent environments in a variety of settings such as smart factories, smart

transportation systems, smart shops, and smart buildings.…

AGATA: Analyse großer Datenmengen in Verarbeitungsprozessen

Partners

  • Fraunhofer-Anwendungszentrum Industrial Automation (IOSB-INA)
  • Bayer Technology Services GmbH, BTS-OSS-ALCM-OACM
  • CLAAS E-Systems KG aA mbH & Co KG
  • Hilscher Gesellschaft für Systemautomation…
Hybrid Social Teams for Long-Term Collaboration in Cyber-Physical Environments

The project HySociaTea (Hybrid Social Teams for Long-Term Collaboration in Cyber-Physical Environments), which is funded by the German Federal Ministry of Education and Research, realizes and examines…

Intelligente Wissensdienste für Smart Production

The APPsist project gives manufacturing companies the opportunity to get prepared for the challenges of industry 4.0 using CPS-integrated, intelligent assistance systems. The forms of production,…

Cloud-based Rapid Elastic Manufacturing

Flexible Industrial Production with XaaS and Cloud Computing

On the 1st of January 2015, the European research project CREMA (Cloud-based Rapid Elastic Manufacturing) started within the research…

OMAHA - Overall Management Architecture for Health Analysis

The high-level goal of the OMAHA project is to develop an overall management architecture for health analysis of civilian aircraft. The project covers several topics like diagnosis and prognosis of…

GUIDED - Autonomic Building

Partners

  • Hager Electro GmbH & Co KG (Konsortialführer)
  • FH Dortmund - Institut für Kommunikationstechnik
  • INTERACTIVE Software Solutions GmbH
  • Scheer Management GmbH
  • IS Predict GmbH
  • QBUS eNET GmbH & Co.…
OSMOsis applications for the Sensing Enterprise

The main objective of the OSMOSE project is to develop a reference architecture, a middleware and some prototypal applications for the Sensing-Liquid Enterprise, by interconnecting Real, Digital and…

Angewandte Referenzarchitektur für virtuelle Dienste und Anwendungen

ARVIDA is a project funded by the German Federal Ministry for Education and Research (BMBF) with actually 23 partners from research and industry. The main goal of the project is the creation of a…

German Research Center for Artificial Intelligence
Deutsches Forschungszentrum für Künstliche Intelligenz