Opening the gates to the digital future
Productive4.0 is an ambitious holistic innovation project, meant to open the doors to the potentials of Digital Industry and to maintain a leadership position of the industries in Europe. All partners involved will work on creating the capability to efficiently design and integrate hardware and software of Internet of Things (IoT) devices. Linking the real with the digital world takes more than just adding software to the hardware.
Productive4.0 – Technology Pioneer 2021
Productive4.0 provided evidence for the fact that transparency and cooperation can cause a real digital push to Europe’s industry. This is why it received the Technology Pioneer Award 2021. At the same time, the award by EU programme ECSEL JU (Electronic Components and Systems for European Leadership Joint Undertaking) is a tribute to the […]
“Excellent”, ECSEL says
When Productive4.0 started in May 2017, its intention to «open the gates to the digital future» raised high expectations of the ambitious European project with 109 partners. Now that the research work is done, they turn out to be more than fulfilled. Apart from the total funding of roughly 50 million euros, it is satisfying […]
Big achievement: machine tool use case
A big achievement in Productive4.0 was made in work package (WP)9 which focuses on product use cases along the entire supply chain in various domains of the European industry. It demonstrates how product life cycle management will benefit from the capabilities of Digital Industry and IIot and technological and conceptual approaches in fields like service-oriented […]
ABOUT PRODUCTIVE 4.0
A technology push: hands-on solutions for the European Digital Industry
With 109 partners involved, Productive4.0 is Europe’s biggest research project in the field of Digital Industry. As a brain pool the Framework takes a step further towards hands-on solutions. Means of electronics and Information and Communication Technologies (ICT) across the entire value chain are the key to enhanced production efficiency and significant gains.
They will make production more predictable and flexible, change business models, and they will be the basis for more qualified employment. Productive4.0 will furnish the companies with fundamental tools necessary to transform the potentials of the upcoming digital revolution, known as Digital Industry, into business success.
Funding Authorities
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FUNDING AUTHORITIES
Funders and supporters
The co-funded innovation project Productive 4.0 receives grants from the European Commissions H2020 research and innovation programme, ECSEL Joint Undertaking (project no. 737459), the free state of Saxony, the German Federal Ministry of Education and national funding authorities from involved countries.
Partners
Our project partners
More than 100 partners from 19 European countries will work on preparing the way for the upcoming digital transformation. The Productive4.0 consortium is composed of highly experienced partners along the entire added value chain.
AMU_LSIS, created in 2002, is a research unit. Nearly 130 researchers and professors and more than 140 PhD students work in the lab. The research activities are structured into three poles: Computer science, Systems and Image. The objective is to have projects with scientific leading tools, to create dynamics in our activities, to ensure excellence at national or international level. Our vocation is to develop fundamental and applied research associated to social and economic world demand.
- Robotics
- Reconfiguration of control law
- Diagnosis and prognosis
- Human/robots interaction
- STMicroelectronics Rousset SAS
New Nexus Mobile Solutions builds both business and consumer apps for all platforms. New Nexus Mobile Solutions guides organizations throughout the process: from consulting to realization and from implementation to maintenance.
We are a research centre that specialises in industrial production and manufacturing technologies.
Our activity covers the identification and analysis of opportunities, the design and development of products, business lines and production processes and the resolution of problems through the provision of technological services such as technical consultancy and equipment based services.
- Integration of ARROWHEAD core services in an industrial IoT system.
- Definition and Development of the machine tool digitization Use case.
- MONDRAGON ASSEMBLY, S. Coop.
- Mondragon Goi Eskola Politeknikoa Jose Maria Arizmendiarrieta S. Coop.
- Mondragon Sistemas De Informacion Sociedad Cooperativa
- Mondragón Corporación Cooperativa (MCC)
- Ulma Embedded Solutions, S. Coop.
- Savvy Data Systems SL
The University of Limerick (UL) was established in 1972 as the National Institute for Higher Education, Limerick and classified as the University of Limerick in 1989. Within UL the Enterprise Research Centre (ERC) was established in 2005 and has very strong industrial linkages, carrying out applied research with companies such as Dell, Sanmina-SCI, Flextronics, IBM, Lucent, Analog Devices, Intel, Glanbia, Dairygold and many SMEs, for example, Aerogen and Ceramicx.
- WP4 Simulation of Supply Chains
- WP5 Validation of Analytical Models
- WP9 Bosch Pilot Case
- Infineon Technologies AG
- Robert Bosch GmbH
- SimPlan AG
- Fraunhofer-Gesellschaft zur Förderung der angewandten Forschung e.V.
- FORTISS GMBH
- Karlsruher Institut für Technologie
- AVL LIST GMBH
- École nationale supérieure des mines de Saint-Étienne
- STMicroelectronics Crolles 2 SAS
- Applied Materials Belgium
- DANOBAT GROUP
- Engine Power Components Group Europe SL
- Trimek S.A.
- Ulma Embedded Solutions, S. Coop.
- Ideko S. Coop.
- Asociacion de Empresas Tecnologicas Innovalia
- Panepistimio Thessalias
- Politecnico di Milano
- Statwolf Ltd.
- Infineon Technologies Ireland Ltd.
- Unger Fabrikker AS
- Høgskolen i Østfold – Østfold University College
- Koç Üniversitesi
Tampere University of Technology (TUT) conducts research in the fields of technology and architecture and provides higher education. In Productive4.0 the work is carried out by the Information Systems in Automation research group focusing on model-based software development and service-based integration solutions in automation and production environments. Experience particularly in service architectures as well as and information models and semantics in system integrations benefit the project.
- Integration architecture specification and development, automated composition of functionality and data
- Application of the platform and development for machine and fleet management offered as industrial services
- Teknologian tutkimuskeskus VTT Oy
- Konecranes Global Oy
- Metso Minerals Oy
- CrossControl Oy
- Wapice Oy
- AITIA INTERNATIONAL Informatikai Zártkörűen
- Budapest University of Technology and Economics
- Luleå tekniska universitet
- FORTISS GMBH
Thales in Austria's transport activities date back to the beginnings of the railway system.
Thales Austria covers the entire spectrum of business activities – research and development, product management, business development and sales with all the necessary manpower. At the national and international level customers can access the extensive experience and expertise in the implementation of projects of varying type, to build turnkey projects.
- Railway domain expert
- Fault tolerant computing technology provider
- Safety critical systems deployed on embedded systems
- AIT Austrian Institute of Technology GmbH
The Budapest University of Technology and Economics (BME) was founded in 1782. It now has 110 departments and institutes. With over 1700 researchers and lecturers, BME issues over 70% of engineering degrees in Hungary annually. Within the university, the Department of Telecommunications and Media Informatics (TMIT) as part of the Faculty of Electrical Engineering and Informatics is involved in Internet-based telecommuincations and mobile telecommunication systems primarily.
- Key contributor to the Arrowhead platform design and implementation
- Developer of various software and hardware components for the Tier 2 use cases
- We provide our expertise in our research fields, related to big data analytics, various communication protocols and network management
- AITIA INTERNATIONAL Informatikai Zártkörűen
- evopro Innovation Kft.
- Luleå tekniska universitet
The Technische Universität Dresden has its roots in the Royal Saxon Technical School that was founded in 1828. Today it is a university that unites the natural and engineering sciences with the humanities and social sciences, as well as medicine. This wide range of disciplines, which is unique in Germany, brings with it the obligation for the university to promote interdisciplinarity and to contribute to the integration of science and society.
- Advanced scheduling methods for optimization networks
- Modern outlier detection methods
- Infineon Technologies Dresden GmbH & Co. KG
The University Klagenfurt is an innovative university in the south of Austria. For the project the Research Group on Intelligent Systems and Business Informatics (ISBI) of the Institute for Applied Informatics will conduct the R&D activities. ISBI deals with the theory and the application of artificial intelligence (AI) in industry. Its core competencies are located in the area of logic and constraint-based programming focusing on large problem instances.
- design and evaluation of concepts which allow the integration of a heuristic problem solver
- Support and automate the generation of production schedules based on the models created in WP4
- validation of the framework developed in WP5
- Infineon Technologies Austria AG
Midroc is active in all industry sectors; from traditional basic industries to infrastructure.
We help our customers improve the utilization of resources and increase competitiveness.
With our project capability, we take full responsibility for both small and very large projects with power, automation, mechanical and process equipment.
We have the skills, practices and attitudes. This gives our customers simplicity and security.
- Involved in developing core systems of the Arrowhead Framework
- Investigating improved and innovative business models for system integration based on the framework and technology of Productive 4.0
- Investigating hardware and software solutions for usage in task T8.1.4
- Volvo Lastvagnar Sverige AB
- Luleå tekniska universitet
- BnearIT AB
- Skandinaviska Enskilda Banken AB
- Ericsson AB
- Combitech AB
- AITIA INTERNATIONAL Informatikai Zártkörűen
TTTech is a global leader in the field of robust networking and safety controls. TTTech solutions improve the safety and reliability of electronic systems in the industrial and transportation sectors, with a portfolio of products that are helping to make the Industrial Internet of Things and autonomous driving a reality. These solutions support highly scalable and modular open real-time architectures based on Deterministic Ethernet, including IEEE TSN and SAE Time-Triggered Ethernet standard.
- Enabling reliable and reconfigurable real-time networking
- Computation in the network edge based on Deterministic Ethernet
- Fog computing in industrial automation
- AIT Austrian Institute of Technology GmbH
- Asociacion de Empresas Tecnologicas Innovalia
- Infineon Technologies AG
- Engine Power Components Group Europe SL
- Mondragon Goi Eskola Politeknikoa Jose Maria Arizmendiarrieta S. Coop.
- Technische Universität Wien
- Trimek S.A.
pi4_robotics GmbH is one of the leading manufacturers of machine vision systems, automatic inspection systems and robots, based in Berlin, Germany. Currently its system solutions are particularly used in such industry sectors as photovoltaics, automotive, glass, medicine and pharmaceuticals, fuel cell manufacturing as well as in the field of ceramics. pi4 provides the pi4_workerbot, a humanoid robot, which is already successfully used in the industry.
- Development and implementation of robotic components and control software for a smart logistic robot (SLR).
- Contribution to design and implementation of the SLR prototype.
- Test and evaluation in an industrial environment.
- Bayrische Motoren Werke Aktiengesellschaft
ABB in brief
ABB is a pioneering technology leader that works closely with utility, industry, transport and infrastructure customers in roughly 100 countries. With more than four decades at the forefront of digital technologies, we are a leader in digitally connected and enabled industrial equipment and systems with an installed base of more than 70,000 control systems connecting 70 million devices.
- T8.2.3 Smart Services for Trusted Manufacturing Site
- The aim is to provide practical solutions and implementations of big data and predictive analytics techniques to support the engineering of robotics solution as well as effective operation of the manufacturing site.
- Task 1 Data analytics: Application of big data and predictive analytics techniques in order to extract actionable insights from cyber physical system (CPS), Industrie 4.0-enabled components (e.g. robot, PLC, track) and surrounding environment (e.g. production line), with a focus on environments with human-machine interaction. The aim is to make manufacturing sites easily adaptable and scalable to new production needs.
- Task 2 Robot Skills: Development of an interoperable platform for skill-level programming taking into account human-machine interactions. This skill-level programming platform will enable engineers with process knowledge but limited/no (robot) programming knowledge to engineer, program and operate robots in a production line in a safe, easy and fast manner.
- Task 3 Bidirectional coupling of the advanced analytics and the skill-level programming platform: Bidirectional coupling of the advanced analytics and the skill-level programming platform. The analytics have the potential to identify, evaluate and test (simulate) new programming skills or requirements for programming skills. Programmed skills, e.g. in the form of a library, can be used to guide and supervise the analytics.
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