Beiträge

Virtuelles Panel – CyberFactory: How to make the Factory of the Future efficient and secure?

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Am 9. Dezember fand unser virtuelles Panel zum Thema “CyberFactory#1: How to make the factory of the future efficient and secure” statt. Unsere Referenten, Adrien Bécue, İrem Hilavin und Jari Partanen, stellten das Projekt, den Anwendungsfall Vestel und Aspekte der FoF- Resilienz vor. Dann folgte eine Dikussionsrunde und Fragen unter anderem zu den Beziehungen von Mensch und Maschine oder zu den Möglichkeiten die dieses Projekt Unternehmen, die nicht direkt beteiligt sind, bieten kann. Unten finden Sie die Präsentationsfolien. Wir freuen uns auf viele weitere Veranstaltungen im neuen Jahr!

 

Präsentation

 

Zusammenfassung:

As factories digitalise and adopt automation technologies, they unlock new business models, manufacturing processes and logistics methods – as well as alternative roles for the people and machines that work in the factory. At the same time, these processes result in more complex IT and OT systems, presenting novel cyber security challenges and potentially leading to dangerous new interdependencies.

Based on early results from the European research project CyberFactory#1, our panel will discuss both the opportunities and challenges represented by the digitalisation and automation of factories, including what the transition towards a new factory system of systems may look like – but also the new threats that organisations may face if security and resilience are not prioritised early in the process.

 

Sprecher:

Adrien Bécue, Project Leader CyberFactory#1, Head of Innovation, Airbus CyberSecurity, France

Jari Partanen, Task Leader CyberResilience, Head of Quality, Environment and Technology Management, Bittium, Finland

İrem Hilavin, Work Package Leader Integration & Validation, SW Design Architect, Vestel, Turkey

 

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

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Abstract

Ongoing digitalization and implementation of new techniques for the Factory of Future (FoF) brings up new opportunities as well new threats that must be concerned to conciliate optimization of the supply and manufacturing chain with the need for security, safety and resilience. The CyberFactory#1 project addresses these needs by providing a framework of possible capabilities for resilient FoF environments. To further define these capabilities an approach was used to define requirements and implementation planning based on Use-Cases and Misuse-Cases to enable the development of needed capabilities for resilient FoF.

Access to Document

https://www.researchgate.net/publication/342736698

Authors

Matthias Glawe (Airbus CyberSecurity), Linda Feeken (OFFIS e.V.-Institut für Informatik), Ching-Yu Kao (Fraunhofer AISEC), Elham Mirzaei (InSystems GmbH), Alexander Szanto (Brandenburgisches Institut für Gesellschaft und Sicherheit), Torsten Weinhold (Bombardier), Björn Wudka (HTW Berlin)

Conference

Automation 2020, 30 June – 1 July, Baden-Baden (Online)

Cite this

Glawe, M.; Feeken, L.; Kao, C.-Y.; Mirzaei, E.; Szanto, A.; Weinhold, T.; Wudka, B.: Towards resilient Factories of Future – Defining required capabilities for a resilient Factory of Future, in: Conference Paper Automation 2020, VDI-Berichte Nr. 2375, 2020.

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

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Abstract

In the context of Industry 4.0, a growing use is being made of simulation-based decision-support tools commonly named Digital Twins. Digital Twins are replicas of the physical manufacturing assets, providing means for the monitoring and control of individual assets. Although extensive research on Digital Twins and their applications has been carried out, the majority of existing approaches are asset specific. Little consideration is made of human factors and interdependencies between different production assets are commonly ignored. In this paper, we address those limitations and propose innovations for cognitive modeling and co-simulation which may unleash novel uses of Digital Twins in Factories of the Future. We introduce a holistic Digital Twin approach, in which the factory is not represented by a set of separated Digital Twins but by a comprehensive modeling and simulation capacity embracing the full manufacturing process including external network dependencies. Furthermore, we introduce novel approaches for integrating models of human behavior and capacities for security testing with Digital Twins and show how the holistic Digital Twin can enable new services for the optimization and resilience of Factories of the Future. To illustrate this approach, we introduce a specific use-case implemented in field of Aerospace System Manufacturing.

Access to Document

https://doi.org/10.3390/app10134482 

Authors
Adrien Bécue (AIRBUS CyberSecurity), Eva Maia (School of Engineering, Polytechnic of Porto (ISEP/IPP)/GECAD)), Linda Feeken (OFFIS e.V.-Institut für Informatik), Philipp Borchers (OFFIS e.V.-Institut für Informatik), Isabel Praça (School of Engineering, Polytechnic of Porto (ISEP/IPP)/GECAD))
Cite this

Bécue, A.; Maia, E.; Feeken, L.; Borchers, P.; Praça, I. A New Concept of Digital Twin Supporting Optimization and Resilience of Factories of the Future. Appl. Sci. 2020, 10, 4482.

https://pixabay.com/photos/writing-write-person-paperwork-828911/

Call for Papers: Workshop on Cyber-Physical System Modeling

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Workshop on Cyber-Physical System Modeling: Applications for Industry 4.0 Optimization and Resilience – Call for Papers

In conjunction with ESM 2020, October 21 – October 23, 2020, Toulouse, France

This workshop focuses on the development and application of methods for modeling and simulation of CPS for the factory of the future (FoF).

With the advent of Smart Factory, digitalization and automation processes have moved into the focus of industry. The primary goal is not the optimization of a single production plant, but of the factory as a whole by augmenting physical assets with advanced digital technologies, such as the internet of things (IoT), artificial intelligence (AI) and robots. From a modeling perspective, the individual components of the factory thus become cyber-physical systems (CPS) that communicate, analyze, and act upon information, enabling more flexible and responsive production.

The organizers invite contributions with a focus towards CPS in the FoF that describe problem statements, trends, and emerging ideas in the engineering and application of CPS in industrial production.

Topics include, but are not limited to:

  • Requirements on CPS modeling for optimization and resilience of the FoF
  • Architectures for the FoF
  • Application of existing CPS models to manufacturing: benefits and gaps
  • Usage of digital twins for optimization and resilience in the FoF
  • Data lake exploitation for the FoF
  • Models & Simulations for the identification of threats on safety and security in the FoF
  • Tool support for modeling and simulation of the FoF
  • Uncertainties and predictions in the FoF models
  • Modeling of human-machine-interaction in the FoF
  • Distributed manufacturing
  • Cyber resilience modeling for the FoF

Paper format:

Participants may submit a 5-8 page full paper (single spaced, double column) in PDF format. Paper formatting guidelines can be found at https://www.eurosis.org/conf/esm/2020/submissions.html. All accepted papers will be published in the ESM’2020 Conference Proceedings.

Workshop format:

The workshop will be held as part of the European Simulation and Modelling Conference (ESM) 2020 to take place in Toulouse, France on October 20-23, 2020. It will feature peer-reviewed paper presentations organized according to the topics defined above. Papers not exceeding 8 pages must be submitted electronically via email (see: https://www.eurosis.org/conf/esm/2020/email-reply.html) in PDF format and must be conform to the submission guidelines (see: https://www.eurosis.org/conf/esm/2020/submissions.html).

The IEEE transaction templates can be used to get a suitable layout (see: https://journals.ieeeauthorcenter.ieee.org/create-your-ieee-journal-article/authoring-tools-and-templates/ieee-article-templates/templates-for-transactions/).

Each submission will be reviewed by at least three members of the Program Committee and will be evaluated on the basis of originality, importance of contribution, soundness, evaluation, quality of presentation and appropriate comparison to related work. The program committee as a whole will make final decisions about which submissions to accept for presentation at the conference.

Important Dates:

Paper Submission deadline: Jun 25th, 2020

Notification of acceptance/rejection: Aug 25th, 2020

Camera ready paper: Sep 30th, 2020

Workshop: Oct 21th-23th, 2020*

Organizers:

Linda Feeken (OFFIS e.V.), Eva Catarina Gomes Maia (Instituto Superior de Engenharia do Porto),  Frank Oppenheimer (OFFIS e.V.), Isabel Praça (Instituto Superior de Engenharia do Porto), Ingo Stierand (OFFIS e.V.)

Contact:

Linda Feeken, linda.feeken@offis.de

Conference website: https://www.eurosis.org/conf/esm/2020

 

*programme of the ESM is not yet fixed, workshop will be on one of the three conference days

 

Finnish Consortium with First Steps towards Improved FoF Security

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When developing Factories of the Future, security is also an important aspect. CyberFactory#1 will respond to this challenge by developing a set of safety and security capabilities. One of these capabilities is cyber resilience. Although the development work has not yet started, CyberFactory#1’s Finnish partners prepared and presented a Cyber Resilience Starting Point Demo in the project review at Oulu in January.

Figure 1 A part o fthe demo set-up

Resilient communications

A key resilience function in FoF systems, including IIoT, is the ability to maintain constant connectivity to industrial control systems and other systems on a continuous basis. A single network may not provide sufficient reliability in critical manufacturin  g systems. Therefore, in order to build resilient manufacturing systems, a seamless network failover is relevant. The scenario in Figure 2 demonstrates IIoT device network switching for resilient communications.

Figure 2 Demo scenario 

Continuously up-to-date IIoT devices

A common flaw in IIoT systems is the cumbersome or non-existent update management system. Administrator needs to be provided with insight on the current rate of deployment of up-to-date and outdated devices, and with capability to monitor the update progress in real-time, using the device management console dashboards. The scenario in Figure 3 demonstrates the use of standards based device management (LWM2M) and the standard mechanism for updating IIoT gateway remotely.

Figure 3 Demo scenario for standards based device management and remote updates

Dynamic reconfiguration of IIoT devices

Dynamic security policies in IIoT devices are an important enabler for resilience of IIoT systems. Based on IIoT device produced data (and changes in certain data points) the security policy of the IIoT device gets updated from the device management server. This scenario demonstrated how dynamic reconfiguration enables the recovery from incidents and disaster situations.

The demo was created in collaboration with Bittium, Netox, VTT and Rugged Tooling, using the knowledge of each partner to create a realistic environment. “It was great to able to contribute to creating the traffic needed, and test our sensor in the mutually created environment”, says Esa from Rugged Tooling. “Bittium SafeMove® Analytics was adapted to the demo in order to demonstrate the fleet of the IIoT devices, in order to detect the devices and required updates for cyber resilient operations. We were also able to connect the system seamlessly and wirelessly with the cloud connectivity provided by Netox”” clarified Björn from Bittium.

This Starting Point Demo was a great collaboration effort and a remarkable first step towards the Kick-off of Work Package 5: FoF dynamic risk management and resilience in April 2020.

Involved Partners: Bittium, Netox, Rugged Tooling, VTT Technical Research Centre of Finland