CF1 CyberFactory#1


Increasing automation of factory plants through, for example, transport or assembly robots and networked machines promises increased efficiency in production. The networking of different factory components allows the entire system flow to be optimized instead of being limited to optimizing the behavior of individual components. New architectures, technologies and methods are needed for the development of such FoF, which not only increase the efficiency of the factory but also ensure the security properties of the FoF.


In the ITEA3 project CyberFactory#1, the Factory of the Future (FoF) will be enabled to continuously adapt to changing conditions and optimize itself, as well as to increase its resistance to physical and IT-technical threats.

The CyberFactory#1 project complements and expands other projects in the context of Industry 4.0 in terms of developing the following key capabilities:

  • The factory of the future is seen in CyberFactory#1 not only as a single plant or as a set of isolated plants, but as a network of interacting plants, as a System of Systems (SoS). The factory of the future, its environment as well as the people operating in the factory are to be captured in realistic digital models in order to be able to investigate simulation-supported design, test and validation of optimization and resilience components.
  • Methods will be developed that enable the FoF to automatically carry out continuous optimization of production. Real-time data about material, people and machines in the factory will be analyzed and the results will be used to optimize human-machine interaction and autonomous reconfiguration of production processes.
  • In addition, CyberFactory#1 develops methods to increase the resilience of the factory of the future. The project focuses on the development of methods for monitoring the behaviour of humans and machines for the automated detection of deviations, robust approaches for machine learning and mechanisms for assisted or autonomous reaction to detected anomalies.

These key capabilities are demonstrated in CyberFactory#1 in realistic use cases designed to reflect the diversity of possible new factories of the future (such as user-centric factories and learning factories). New business models such as the transition from product to service offerings and the development of data services to complement product manufacturing will also be considered.


  • distributed simulation
  • Development and use of digital twins

External Leader

Adrien Philippe Bécue (Airbus CyberSecurity SAS, France)

Scientific Director

A New Concept of Digital Twin Supporting Optimization and Resilience of Factories of the Future

Bécue, Adrien and Maia, Eva and Feeken, Linda and Borchers, Philipp and Praça, Isabel; Applied Sciences; 2020

Towards resilient Factories of Future: Defining required capabilities for a resilient Factory of Future

Glawe, Matthias and Feeken, Linda and Wudka, Björn and Kao, Ching-Yu and Mirzaei, Elham and Weinhold, Torsten and Szanto, Alexander; AUTOMATION 2020; 0June / 2020

Towards Digital Twins for Optimizing the Factory of the Future

Patrick Eschemann, Philipp Borchers, Linda Feeken, Ingo Stierand, Jan Stefan Zernickel, Martin Neumann; Modelling and Simulation 2020; 10 / 2020

Comparison of Production Dynamics Prediction Methods to Increase Context Awareness for Industrial Transport Systems

Philipp Borchers, Dennis Lisiecki, Patrick Eschemann, Linda Feeken, Mehrnoush Hajnorouzi, Ingo Stierand; Modelling and Simulation 2021; 10 / 2021

Metric Based Dynamic Control Charts for Edge Anomaly Detection in Factory Logistics

Patrick Eschemann and Philipp Borchers and Dennis Lisiecki and Jan Elmar Krauskopf; Journal of Physics: Conference Series; 0oct / 2022

Bluewrist Inc.
Bittium Wireless Ltd.
High Metal Oy
Houston Analytics Oy
Netox Oy
Rugged Tooling
VTT Technical Research Centre of Finland Ltd.
Airbus S.A.S.
Airbus CyberSecurity SAS
LAAS CNRS - Laboratoire d'analyse et d'architecture des systèmes
Airbus Cybersecurity GmbH
Aviawerks International GmbH
Brandenburgisches Institut für Gesellschaft und Sicherheit gGmbH (BIGS)
Bombardier Transportation
Fraunhofer-Institut für Angewandte und Integrierte Sicherheit AISEC
Hochschule für Technik und Wirtschaft Berlin
InSystems Automation GmbH
isep Instituto Superior de Engenharia do Porto
SISTRADE Software Consulting, S.A.
Airbus Defence and Space (Spain)
Innovalia Association
Nextel S.A.
PAL Robotics
GOHM Electronics and Computing Systems Ltd
Lostar Information Security


Start: 01.06.2019
End: 31.05.2022

Website of project

Source of funding