- Call for papers
- Important dates
- Submit a paper
- Final Paper Submission
- Program at a glance
- Keynote lectures
- Special Sessions
- Industry Forum
- Registration Fees
- Hosting organization
- Travel & Accommodation
- Technical Tours
- Visa Support
- Copyright conditions
- 4th International Summer School on Industrial Agents & Cyber-Physical Systems
November 19, 2017
December 15, 2017
Special Session proposals
December 22, 2017
February 15, 2018
February 28, 2018
March 10, 2018
Notification of acceptance
February 28, 2018
March 15, 2018
- March 10, 2018
Recommended date for visa support letter (invitation) request
- March 31, 2018
Final paper submission
- May 15, 2018
- May 15-18, 2018
|May 16, 2018|
13:30 pm - 15:30 pm
|Communications and Networking|
|MODERATOR/CHAIR||Michael Condry & Sergey Kolyubin|
|13:30-13:55||Gregory Chernobyl||General manager, Signum||Russia||Industrial Internet in Russia. Who will benefit from IIoT – producers or consumers?|
|13:55-14:20||Sergey Shcherbakov||Technical Director, Beltel||Russia||BigData in Industry: How predictive analytics add value to a business|
|14:20-14:45||Alexey Mayzel||National Instruments Russia FSE||Russia||Platform-based approach for ICPS Engineering|
|14:45-15:10||Marios Antoniou||Wholesale Product Manager, Cyprus International Institute of Management||Cyprus||Funding and financial management of organizations (start-ups, small, medium or large companies)|
|15:10-15:30||Chen-Lung Wei||Engineer in the Precision Machinery Research and development (PMC), Taichung, Taiwan||Taiwan||Application of a Cyber-Physical System in Metal Machining Processes|
|May 17, 2018|
13:30 pm - 15:30 pm
|Digitalisation and Engineering Tools|
|MODERATOR/CHAIR||Victor Huang & Stamatis Karnouskos|
|13:30-14:00||Dmitry Lopatkin||DELMIA Technical Sales Specialist, Dassault Systèmes||Russia||Digital Continuity with 3DEXPERIENCETwin|
|14:00-14:30||Andreas Oroszi||Vice-president on Digital Business, Festo||Germany||Digitization and Industry 4.0 from the perspective of leading company in industrial automation|
|14:30-15:00||Ruslan Zhavoronkov||Head of the direction of digitalization of production, 2050||Russia||About highlights of complex (E2E) digitalization of the machinery production in Russia|
|15:00-15:30||Pierre Dersin||Director, Prognostics & Health Management, Alstom||France||Cyber-physical Systems for smart Transportation|
|May 18, 2018|
13:30 pm - 15:30 pm
|MODERATOR/CHAIR||Anton Pyrkin & Eugeny Yablochnikov|
|13:30-14:00||Victor Huang||IES Standards
IES Life AdCom
IEEE Life Senior Member
|USA||Industrial standards for sensor networks harmonization with IIoT/ICPS|
|14:00-14:30||Rodion Shishkov||CEO, TRA Robotics||United Kingdom||Software defined manufacturing: how AI will shape industrial production|
|14:30-15:00||Mikhail Uvarov||Head of Analysis and Methodological Support Group, Diakont||Russia||
In this presentation there are results of the project supported by the Ministry of Education and Science of the Russian Federation, project number ПНИЭР RFMEFI57816X0195.
|15:00-15:30||Igor Volkov||General Manager, Bee Pitron||Russia||Multiscale Modeling and Simulation for ICPS|
Industrial Internet in Russia. Who will benefit from IIoT - producers or consumers?
The concept of Industrial Internet of Things (IIoT) has been gaining popularity since 2012. Russia, as part of the global economic community and global consumption market, could not leave this concept without attention.
The implementation of IIoT technologies promises significant benefits for both manufacturing companies and consumers of products, while changing both business processes in production and business models for the sale of products and services. Domestic companies are still cautiously watching the development of technology, investing mainly in the implementation of IIoT to reduce production costs, while the greatest potential lies in the possibilities of IIoT for the implementation of new business models for the marketing of products and providing new services.
The report analyzes the existing technologies of the Industrial Internet and the capabilities of the IIoT platforms in terms of both reducing costs and generating additional profits. Using the example of the Russian IIoT platform Winnum, IIoT capabilities will be demonstrated for solving various tasks for different industries.
Digital Continuity with 3DEXPERIENCETwin
Digital data on the use of products from the client, are particularly valuable intellectual assets of companies. Analyzing of digital data allows you to improve systematically both the product and the entire value chain for your customers. But today all high-tech products are a set of interconnected systems which consists of hundreds of engineering specialties. How can you figure out huge amounts of information and make the right decisions? How can you organize the work of hundreds and thousands of specialists? How can you accelerate the development cycle of more and more advanced products? To answer these questions, Dassault Systemes produces high-quality digital tools related to each other to achieve
About highlights of complex (E2E) digitalization of the machinery production in Russia
The report focuses on actually issues of digitalization of manufacturing: the relevance and reliability of data from production, algorithms for describing the interaction of production resources for description in digital format (digital twins). As part of the report will be discussed what tasks and stages we are implementing in the framework of complex digital transformation (e2e concept). Our approaches to the creation of the digitalization core, the digital twins of the plant; to the creation of complex optimization algorithms.
The accent in the report on the implementation of digital technologies (Industry 4.0, IIoT) in existing production, when the digitalization project is carried out in parallel with the implementation of the production plan, the re-engineering of production, etc. Companies «2050» and «NEVZ» could share the framework of the project "Digital Plant NEVZ".
Platform-based approach for ICPS Engineering
In terms of Industrial Cyber-Physical Systems “Cyber” historically stands more for research and development stage. “Physical” is more about production. In the age of 4th Industrial Revolution there’s a strong demand of seamless transition between theoretical research, development, implementation, production and support. Use of independent standalone software and hardware tools for separate TRL/MRL stages causes critical time-to-market delays and cost inefficiency. Platform-based approach is a flexible and up-to-date way of removing barriers between “Cyber” and “Physical”.
Platform-based approach is applicable in fundamental research as well as in mass-production and lifecycle support. Using universal tools for modeling, validation, prototyping and test improves interoperability and reduces cost on requirements change.
An example of fiber-optic current meter (also known as Optical Current Transformer) developed with FPGA data processing based on NI sbRIO embedded platform is a great demonstration of platform benefits in transition from an idea to product prototype.
Digitization and Industry 4.0 from the point of view of the leading company in the field of industrial automation
As an innovative company and technology leader in industrial automation, Festo is embracing digitalization and Industry 4.0. This is underpinned by having an increasing product portfolio of automation components that are compatible with the Internet of Things as well as specially developed digital products and services. The objective is clear: creating added value for customers and increase both efficiency and productivity. In addition, Festo is striving to provide customers with overall digital support as part of its customer-oriented "Digital Customer Journey". By offering digital tools for selection, sizing, configuration, commissioning and digital support for the entire life cycle of a system, this can be a very effective way of assisting customers with their engineering processes. Not only has Festo started to undertake numerous activities related to digitalisation and Industry 4.0 for its customers, it is also doing so for its own value creation chain and business processes. Digital support is especially important for Festo in its own production environment. As part of the digital transformation, Festo pays particular attention to the topics of people and the Workplace 4.0 as well as Training 4.0. New digital technology requires a different way of working together, as well as new concepts for basic and further training.
Intelligent Business Development System for High-Tech Industrial Enterprise
The present time realities give new challenges to the business management, to the operational level as well as to the strategic. The basic technologies of Industry 4.0 can become a tool that can provide the stable growth for a high-tech enterprise. The medium high-tech enterprise from Russia, Diakont JSC, had formed its approach to the intelligent business management based on the intellectual technologies of Industry 4.0, and this approach is presented in the current speech.
Software defined manufacturing: how AI will shape industrial production
Today hardware production is becoming automated and robotized. However the value generation chain has not changed since mid 20th century. Design is still very much separated from technologies, technologies are separated from infrastructure.
With current state of IT what was suggested by cybernetics decades ago is now possible.
Application of AI gives us an opportunity to reimagine the whole production process from design to manufacturing making it as flexible as contemporary software development practices. It means combining design, technology planning and infrastructure adjustment into short collaborative iterations, which leads to faster times to market for the products. In this way it is possible to bring custom made products at the price level of mass produced. These products will be manufactured on demand on a distributed infrastructure and instantly delivered to its customers.
BigData in Industry: How predictive analytics add value to a business
BigData on the wave of the hype. All around you can hear "the world has changed and will never be the same!", "Data is the oil of the 21st century!", "Data is a strategic asset of the enterprise!". What is it - an empty hype and marketing or something useful that should be immediately implemented? And if it’s useful, how we should do it – because there is a huge amount of data could be collected in the enterprise, who knows what are needed, and which ones can be ignored? And most importantly - what should we do next?
In this presentation, we will try to answer these questions, highlight the main relationships between the Internet of Things (IoT), Big Data and Artificial Intelligence (AI), and show by examples what benefits can be extracted from the data if you have it.
Funding and financial management of organizations (start-ups, small, medium or large companies)
Financial crisis has forced companies to become more efficient in financial management in order to stay sustainable and subsequently increase profits. Entry level jobs in established companies became sparse and salaries were reduced. Young students and professionals were forced to explore entrepreneurship and innovation more. They have created startups and small medium companies in technology areas such as fintech, cleantech, software and mobile. Medium and large organizations invest in new products and services that will increase their efficiency and profitability. Startup and small business focus on innovation in order to create value and attract investments. Funding and profitability are at the heart of all business decisions and operations.
In this presentation we will try to examine how startups and small businesses can attract funding. We will also examine financial management and what are the important factors in order to receive funding for development of new products and services in medium and large companies.
Cyber-physical Systems (CPS) for Smart Transportation
Public Transportation is increasingly a strategic challenge in cities, large and small, as well as in inter-city traffic. Passengers and Transportation Authorities require flawless punctuality and availability while there is economic pressure on maintenance and operations costs.
Transportation systems need to become “smart”, i.e. to use information efficiently in order to optimize their operation. To that end they incorporate functions of sensing, actuation and control in order to describe and analyze a situation, and make decisions based on the available data in a predictive or adaptive manner.
In that context, cyber-physical systems (CPS) can prove to be key tools to help designers and maintainers increase performance cost-effectively, throughout life-cycle.
We will address two aspects: CPS for asset health management and for real-time traffic management.
In asset health management, CPS allow for combining the information extracted from sensor data with pre-existing physical knowledge in order to carry out predictive maintenance. Two examples of Alstom monitored subsystems with their virtual prototypes or ‘digital twins’ will be described, and the extension to complete systems will be hinted at. A key characteristic of the ‘digital twins’ is to model and manage uncertainty, therefore they include elements of randomness through Monte-Carlo simulations.
In traffic management, the effectiveness of regulation algorithms can be assessed through simulations, in a control-theoretic framework.
Finally, future challenges will be presented, such as ‘closing the loop’ to obtain intelligent autonomous systems.
Multiscale Modeling and Simulation for ICPS
The ICPS provides a close link and coordination between computing and physical resources. When developing such complex systems, new approaches to modeling based on the principles of system engineering are required (model based system engineering). To confirm the feasibility of each system requirement and early detection of design errors, it is necessary to apply modeling at each stage of development. We are talking about the role of PLM in the development of cyber-physical systems.
During the operation stages of ICPS due to the restriction of cognitive abilities of a person, there comes a time when a person is no longer able to cope with the amount of information required for making decisions. To the aid come models and analytical systems, allowing in automatic and semi-automatic mode to make management decisions. We are talking about the role of the digital twin in the operation of cyber-physical systems.
IEEE Smart Sensor Standards for IoT and CPS
IoT devices and applications are appearing every day, making it difficult to track all of them in different IoT domains…
One important aspect of IoT is the connectivity of all relevant things in IoT domains, like devices in homes, in factories, in Smart Cities; in particular, global connectivity. For example, IoT enables you to monitor the status, diagnose and control production processes and devices in a factory remotely from geographical distances. This is where and sensors and actuators comes into the picture in IoT.
There are many standardized protocols and interfaces, whether they are SDO standards, like IEEE, ISO or IEC standards, or consortium standards, just to name a few. It is hard for users to buy IoT devices or systems from different vendors and easily interconnect them in an interoperable manner, enabling them the sharing of data easily. If IoT devices do have standardized interfaces, it is important to have them compliant to standards, achieving device interoperability from different vendors. For example, like WiFi Alliance or Bluetooth SIG (Special Interest Group), etc., so you can buy those devices and trust them to be “Plug and Play” or “Plug and Work”.
Application of a Cyber-Physical System in Metal Machining Processes
Precision Machinery Research and Development(PMC) that is a Nonprofit Organization in Taiwan. The responsibilities of PMC are not only to upgrade the Taiwanese machine tool and machinery industry but also Undertake R&D into the technologies of precision machinery.
The CIMFORCE International Limited is a start-up company that focus on the demand of machine tools user and develops an Intelligent Manufacturing System (IMS) for metal machining industry. This company has very well experience in industry-academia cooperation in training topic that to build an Industry 4.0 implementation Center with National Taiwan University of Science and Technology (Taiwan Tech).