Industry 4.0 Projects

Horizon 2020

Horizon 2020 is the biggest EU Research and Innovation programme ever with nearly €80 billion of funding available over 7 years (2014 to 2020). Under Horizon 2020, the new contractual Public-Private Partnership (PPP) on Factories of the Future (FoF) will build on the successes of the EU’s 7th EU Framework Programme for Research (FP7 2007-2013) Factories of the Future PPP. The FoF multi-annual roadmap for the years 2014-2020 sets a vision and outlines routes towards high added value manufacturing technologies for the factories of the future, which will be clean, highly performing, environmental friendly and socially sustainable. The priorities have been agreed within the wide community of stakeholders across Europe, after extensive public consultation.

Some of the projects are listed below

SYMBIO-TIC

The European manufacturing industry is facing challenges in terms of adaptability, flexibility and vertical integration. The SYMBIO-TIC project addresses these important issues towards a safe, dynamic, intuitive and cost effective working environment were immersive and symbiotic collaboration between human workers and robots can take place and bring significant benefits to robot – reluctant industries, where current tasks and processes are thought too complex to be automated. The benefits that the project can bring about include lower costs, increased safety, better working conditions and higher profitability through improved adaptability, flexibility, performance and seamless integration.

SYMBIO-TIC project, started on 1st April 2015 with a term of four years, addresses important issues towards a safe, dynamic, intuitive and cost effective working environment were immersive and symbiotic collaboration between human workers and robots can take place and bring significant benefits to robot-reluctant industries.

This SYMBIO-TIC project is addressing the topic H2020-FoF-6-2014, aiming at a novel hybrid assembly/packaging ecosystem in dynamic factory environment based on human robot collaboration.

This project addresses next specific objectives:

  • Objective 1: To develop an active collision avoidance subsystem to safeguard human workers.
  • Objective 2: To generate adaptive task plans appropriate to both robots and human workers.
  • Objective 3: To adapt to dynamic changes with intuitive and multimodal programming.
  • Objective 4: To provide human workers with in-situ assistance on what-to-do and how-to-do.
  • Objective 5: To demonstrate and validate the project concept and solutions.

The Consortium of SYMBIO-TIC project is formed by 15 partners from Sweden, Hungary, Greece, Austria, Finland, Germany and Spain. Research centers, universities and companies work together to develop solutions for a new working environment in which the collaboration of humans and robots plays a significant role.

Project leader: KTH, Sweden

For more information, please visit http://www.symbio-tic.eu/

 

SemI40

SemI40, i.e., Power Semiconductor and Electronics Manufacturing 4.0, is a research project funded under Horizon 2020 with a budget of over 62 million euros, one of the largest Industry 4.0 projects in Europe. In this project 37 partners from five countries will carry out research into further developing Industry 4.0 applications and autonomous factories. Five main work areas have been identified as follows:

  • CPPS & Cyber Security. The aim is to interconnect production systems, mobile production support systems and production plants along the supply chain, while maintaining safety, security (confidentiality, integrity, availability) and reliability and availability, in order to increase efficiency and enable agile production processes.
  • Machine Learning & Automated Decision Making. In the domain of machine learning, automated decision making and big data analytics, there have been a number of advances achieved recently. For example, the availability of more computational resources made it possible to learn more complex machine learning models. Complementary, new algorithmic approaches for predictive analytics have been researched. These proposed methods will be evaluated for the application scenario of semiconductor manufacturing.
  • Impact Evaluation. Any new technology has to be economically and socially viable. Indeed, the ultimate test for a technology to be adopted by companies and markets is its capacity to answer to consumers’ and communities’ needs, as well as companies’ aspirations and designs to performance improvement. Accordingly, the technical-technological and socio-economic impact of the research project will be examined.
  • Agile Facility. Agility in operation of manufacturing in the semiconductor supply chain becomes a competitive advantage especially in More than Moore domains. It is a core aspect to be able to perform fast, flexible and reliable reaction to changes in requirements, demands and technological solutions. Enhanced logistics & material flows and enhanced equipment setup as well as efficient traceability and real time representation in virtual environment are among the goals of Agile Facility.
  • Virtualization & Digitalization. Virtualization and Digitalization is a key element of the Industry 4.0 concept. Within the ambition to virtually design and virtually produce in order to test the whole flow to fast prototypes, are required optimized simulation models in many different abstraction levels. Goals are set for; communication and collaboration of a swarm self-navigation system, advanced wafer transportation & AMHS logistics, energy Management.

Duration: 01/05/2016-30/04/2019

More information about this projest can be found on their website: http://www.semi40.eu/

 

MANUWORK

Balancing Human and Automation Levels for the Manufacturing Workplaces of the Future.

Future manufacturing will be characterized by the complementarity between humans and automation, especially regarding the production of highly customizable products. This requires new methods and tools for the design and operation of optimized manufacturing workplaces in terms of ergonomics, safety, efficiency, complexity management and work satisfaction. MANUWORK aims to focus on the development of an integrated platform for the management of manufacturing workplaces of the future. This will be done through development, implementation and testing of the following technological components:

  1. A tool for determining optimal human-automation levels for load balancing, based on methods for the assessment of physical, sensorial and cognitive capabilities of humans, the prediction of evolution of human skills/capabilities using Petri Nets and the modeling of automation skills.
  2. A framework for the evaluation of worker satisfaction, safety and health, based on methods for evaluating psychometrics and socio-organizational parameters and the safe human-automation symbiosis.
  3. A framework for the adaptive shop-floor support and industrial social networking based on an Augmented Reality tool for the Human-Automation Interface, an industrial social networking platform and methods for knowledge capturing and social analytics.

A critical target will be the active and passive use of information from workers, without storing any personal data, in order to maintain the confidentiality of the person involved. This will be done through the direct use of data for the calculation of factors of workplace models for the dynamic assignment of workers based on the groups they belong to (e.g. age group). Finally, MANUWORK will test and validate the research and technological developments in three industrial pilot demonstrators (aerospace, automotive and people with disabilities), following an industrial pre-pilot validation (machine tool sector).

Coordinator: University Campus Rio Patras, Greece

Duration: 2016-10-01 to 2020-03-31

 

4D hybrid

Novel ALL-IN-ONE machines, robots and systems for affordable, worldwide and lifetime Distributed 3D hybrid manufacturing and repair operations

From aeronautics to oil&gas, complex metal parts embrace major challenges across their lifecycles from the green field intensive manufacturing to the numerous maintenance and repairing operations worldwide distributed. The synergic combination of additive and subtractive processes could overcome individual shortcomings, going beyond the simple succession of steps. ‘Plug and produce’ modular approach is a key factor to success for such hybridization.

In this scenario, 4D will deliver 4 disruptive breakthroughs:

  • A set of four elementary modules specifically designed for AM that embed the control and monitoring systems which can be integrated on new or existing concepts of machines and robots to realize different processes ranging from the DED (powder and wire) to ablation and cold spray;
  • A new concept of CNC, constituting a high level sw layer which can be integrated on the top of commercial CNCs, and it is conceived as open to embed portions of the 4D modules control;
  • A validated process model to fully exploit the synergistic interactions among elementary processes;
  • A dedicated 4D Engineering CAD/CAE/CAM Platform, which covers the lifecycle of the reference product family where multiple processes and hybrid resources are integrated for the (re)manufacturing stage.

Innovation will be physically demonstrated at three possible levels of hybridization:

  • Modules – Small hybrid modules, integrated on new special machines, focusing on portable units for certified in-situ repair operations;
  • Hybrid Machines – Hybridization on existing robots and machines;
  • Production lines – Hybridization of a flexible production line focusing on new concepts for AM mass production.

Coordinator: Prima Electro SPA, Italy

Duration: 2017-01-01 to 2019-12-31

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