Basic System Industrie 4.0

Basic System Industrie 4.0

  • Duration:

The aim of the Federal Ministry of Education and Research (BMBF) funded project “Basissystem Industrie 4.0 (BaSys4.0)” is to develop a comprehensive software architecture, which efficiently supports this transformation in the production processes via extensive integration of the IT components in the production plant. An integrated process map with all data provided via a common interface is required to enable highly versatile process planning in real time. All service and production process data must be available in a standard format, expandable at any time. BaSys4.0 is creating the basic structured software architecture and generic IT components to connect the engineering controls of the separate components in a production plant, enabling the integration of complex production processes into one, comprehensive production system. This effort guarantees the IT-Basis for flexible, dynamic, and adaptable production. The users will benefit in a variety of ways from BaSys4.0. The machinery and equipment in the manufacturing processes as well as the supply chain for new products can be quickly adapted. The declining costs make it economical to produce small series products while providing greater opportunity to small, innovative enterprises. The significantly simplified management of complex production processes helps to maintain and expand the competitiveness of the manufacturing sector. DFKI's research department for Intelligent User Interfaces is involved in BaSys4.0. The findings from the recently completed SmartF-IT project, which focused on the design of adaptive cyber-physical IT systems at all production levels, now form the starting point for DFKI's work on this new collaborative project. The team at DFKI Saarbrücken performs the information and service modeling for the integrated tool chain and a services-oriented communications middleware that, taken together, represent the basis for the planning and assistance services for production lines.


  • ABB Ltd.
  • Bosch Rexroth AG
  • DFKI
  • Eclipse Foundation
  • Festo AG & Co. KG
  • Fraunhofer Institute for Experimental Software Engineering – IESE
  • ITQ GmbH
  • KUKA Roboter GmbH
  • PSI Automotive & Industry GmbH
  • RWTH Aachen University
  • Robert Bosch GmbH
  • SMS Group GmbH
  • ZF Friedrichshafen AG


BMBF - Federal Ministry of Education and Research

BMBF - Federal Ministry of Education and Research

Share project:

Contact Person

Publications about the project

Sönke Knoch; Nico Herbig; Shreeraman Ponpathirkoottam; Felix Kosmalla; Philipp Staudt; Daniel Porta; Peter Fettke; Peter Loos

In: Journal on Data Semantics (JoDS), Vol. 9, No. 1, Pages 21-37, Springer, Berlin Heidelberg, 12/2019.

To the publication

Sönke Knoch; Nico Herbig; Shreeraman Ponpathirkoottam; Felix Kosmalla; Philipp Staudt; Peter Fettke; Peter Loos

In: Florian Daniel; Quan Z. Sheng; Hamid Motahari (Hrsg.). Business Process Management Workshops. BPM 2018. International Workshop on Artificial Intelligence for Business Process Management (AI4BPM-2018), located at 16th, September 9-14, Sydney, NSW, Australia, Pages 269-280, Lecture Notes in Business Information Processing (LNBIP), Vol. 342, ISBN 978-3-030-11641-5, Springer, Cham, 1/2019.

To the publication

Philipp Staudt; Sönke Knoch; Daniel Porta

In: Wil van der Aalst; Fabio Casati; Raffaele Conforti; Massimiliano de Leoni; Marlon Dumas; Akhil Kumar; Jan Mendling; Surya Nepal; Brian Pentland; Barbara Weber (Hrsg.). BPM 2018 Dissertation Award, Demonstration, and Industrial TrackProceedings of the Dissertation Award, Demonstration, and Industrial Track at BPM 2018. BPM Demo Track (BPMTracks-2018), located at 16th International Conference on Business Process Management, September 9-14, Sydney, NSW, Australia, Pages 106-110, Online Proceedings for Scientific Conferences and Workshops (CEUR-WS), Vol. 2196, CEUR-WS, 9/2018.

To the publication

German Research Center for Artificial Intelligence
Deutsches Forschungszentrum für Künstliche Intelligenz