CyberFactory#1 is now listed as a project on the European Factories of the Future Research Association (EFFRA) innovation portal. It is for now the only ITEA project that is part of the portal.
You can find more information here: https://portal.effra.eu/projects.
We are delighted to be in the company among these others ambitious and innovative projects!
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.
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.
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.
Paper Submission deadline: Jun 25th, 2020
Notification of acceptance/rejection: Aug 25th, 2020
Camera ready paper: Sep 30th, 2020
Workshop: Oct 21th-23th, 2020*
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.)
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
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
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 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
One of the main objectives of CyberFactory#1 is to devise innovative ways of delivering value to the several industry sectors involved in the project through the enhancement of optimization and resilience of the production environments. The project has recently delivered a set of new business models featuring value proposition that go beyond traditional approaches, based on the intelligent product servitization (i.e. transforming product sales into services provision), the knowledge extraction from data and the focus on intellectual property (i.e. enhancing the exploitation and protection of the industrial intellectual property).
The project maps eight paradigmatic sectors and actors in the Factory of the Future (FoF) value chain, divided into two main value chain stages: users (i.e. industrial sectors which represent the end users of the new technologies and approaches developed in CyberFactory#1 – Figure 1) and suppliers (i.e. industrial sectors which provide enabling technologies to be applied in the end user activities – Figure 2).
For each one of these sectors, the CyberFactory#1 developed a business model. The work, coordinated by each leading industry partner in the project, started with a rigorous analysis of the internal and external environments (including competition and market player analysis) and consolidated into a business model canvas. The business model canvas was then extended to a full-fledged business model. During this process the Cyberfactory#1 partners provided their input.
The business models were presented at the ICTurkey event in Istanbul (July 5th 2019) by the project coordinator, further raising the interest in the project of potential external partners, in particular concerning the application and exploitation of the project technologies.
The “factory of the future” paradigm envisions a production environment in which massive amounts of data flow bottom-up from the shop floor to the highest levels of the management. This data yields a great value since it contains useful information that can be used to increase efficiency and performance as well as to enhance decision-making. However, this amount of data flow needs to be secure from unintended use and has to be trustable.
The new business models focus on the exploitation of data to extract valuable information and insights in order to make it an integral part of the transformation of products into services. Thereby they are providing increased value to industrial organizations and their customers. The exploitation of data lakes is at the core of the CyberFactory#1 business models.
Data exploitation is the key to more profitable business models based on service provision, which relies on continuous flow of value to customers instead of discrete product sale transactions (i.e. sales of distinct items). The continuous flow of value is provided through the “as-a-service” paradigm, meaning that high value services can be provided in a continuous way. Intelligence “as-a-service” can be provided through on-demand knowledge discovery from data, as well as Artificial Intelligence as-a-service (for example, provision of on-demand insight reports regarding production optimization). Management applications such as Enterprise-Resource-Planning (ERPs) and security platforms can benefit from the enhanced data value exploitation and themselves can also be provided “as-a-service” (for example, manufacturing management-as-a-service).
Servitization supports new revenue streams as it also empowers per-mile or plafond billing, flat rates or “per call” billing. This lowers the adoption costs, decreases risks both for producers and consumers and grants higher flexibility as well as scalability. This means that organizations become more capable and efficient of reacting to changes in markets.
Enhanced security also empowers service-based paradigms, as they rely on more frequent exchanges of data flows between value chain actors. Ensuring security and trust between actors makes the value chain more resilient and capable of delivering value even in the advent of internal or external cyberattacks, as well as protecting intellectual property and business-crucial information. This is especially important to enhance the protection against counterfeiting goods, to strengthen brand and to protect IP-driven competitive advantages.
Higher flexibility also opens the door for customization services (“mass customization”), allowing both industrial suppliers and users to lower production costs while being able to satisfy ever-changing customer requirements. Intelligent servitization based on data exploitation, higher flexibility, enhanced security and trust leverage the value creation in the next-generation industrial organizations, specifically in key sectors of the European industry.
By focusing on core sectors of the European Industry, the CyberFactory#1 project also aims to build a community of manufacturing companies which can partner up with the project consortium and get involved. This is an excellent way of strengthening ties, sharing knowledge and raise awareness regarding the benefits of the several developments, including being part of enhanced value chains and considering new approaches to market and value creation.
Authors: João Mourinho, Innovation Manager, Sistrade Software Consulting & Américo Nascimento, Research/Consultant, Sistrade Software Consulting
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