Launch of the biggest project in Austria focusing on the topic of “Industry 4.0”: the VIRTUAL VEHICLE Research Center in Graz coordinates the 7.9 million Euro project “FACTS4WORKERS”. The project includes 15 European research partners over a time of four years and aims at creating attractive and intelligent work places and boosting Europe as a production location. Improved training and increase of investment in factories and research & development will help bring Europe new and better jobs.
Production is moving constantly away from European high-wage countries to so-called “best-cost” countries or to locations with low energy cost. To fight this trend the European industry is challenged to develop intelligent added-value concepts for the field of production.
The EU-commission wants to reverse “the shrinking role of the industry” and restore the “attractiveness of Europe as a production location”, says the responsible commissioner Antonio Tajani. With more investment in factories and research & development the amount the industry contributes to the European economic output should be increased from currently 15 to 20 per cent by 2020.
A large-scale research project now puts the worker into to the centre of future-oriented production concepts in order to render manufacturing jobs more attractive and help Europe to become more competitive. As of December 1st 2014 the VIRTUAL VEHICLE Research Center in Graz coordinates the project “Worker Centric Workspaces in Smart Factories (in short “FACT4WORKERS”).
15 European research partners from eight countries are part of this newly founded consortium. The four year long research initiative is being funded through Horizon 2020, which is a EU funding programme for research and innovation of the European Commission, running from 2014 to 2020.
Ambitious goals in research
The results of this research project are supposed to initiate a new industrial era, which is characterized by the so-called “Smart Factory”. The “Smart Workers” in those production sites will be ideally supported by information and communication technology in order to improve the manufacturing process regarding flexibility, efficiency, and reliability. This results in a local benefit in competition, and (central) European production locations can be secured in the long term.
In a “Smart Factory”, the production site of the future, the focus lies on the worker as the most flexible element involved in the manufacturing process. He or she becomes a “production knowledge worker” and is supported by optimized information and communication technology, self-learning working environment, and in-situ learning while operating the machine.
The intended digitalisation is not limited to single factories, it will affect entire added value networks. This can be achieved via so-called “cyber-physical systems”, which are systems consisting of various components (IT, software, mechanical parts, etc.) that communicate via the internet or other means of communication.
The human component - a key factor
In addition to this technical approach, there also has to be a focus on the role of the worker as the human component and key factor in the manufacturing process. Here the term “knowledge work” is coined. Knowledge work is completely different from traditional automated routine activities in a factory. It is defined by an entirely new, complex, and autonomous work environment. Furthermore, “Smart Workers” develop new ways of continuous improvement of knowledge exchange on their own at the work place.
“We have to bring into question, how people work and learn, how they interact with new technologies, and how they can create an added value to the industry by working at an attractive and demanding work place”, explains Martin Wifling, project leader of FACTS4WORKERS at the VIRTUAL VEHICLE Research Center in Graz. The answers to these questions are the key to successful and human-centred solutions of information and communication strategies within manufacturing processes.
By reflecting on the situation of the worker in the manufacturing process it is possible to increase their satisfaction and motivation, which can lead to an overall increase of productivity by 10 per cent. The main research focus in this project, though, lies in “creating a significantly more attractive work area in manufacturing in Europe so that more people choose this demanding and ever changing occupational field”, says Wifling.
FACTS4WORKERS focuses on the following use cases:
Assisted machine operator
Due to the individualisation of products the batch sizes decrease. At the same time the rate of highly special and quickly changing information from multiple sources increases. Though, manual action by the operator is still necessary. At this point innovative interaction mechanisms such as data goggles are being used to display crucial information to the operator during the manufacturing process. Elements such as checklists, job specifications, manuals, and work orders, which are being printed from MES- and ERP-systems and are still commonly used, will disappear over time.
Human centred knowledge management
The necessary information will be delivered to the Smart Worker just in time in order to improve the production sequence. Furthermore, a new culture is being established, in which knowledge is shared voluntarily and pro active. Accessories in the working area should show intuitive interaction mechanisms such as voice-, touch-, or gesture-activation instead of text input. Practical knowledge can be transferred easier with graphical animations or videos then in written form.
Self-learning work places
Machines, tools, and other infrastructures in Smart Factories are considered to be intelligent. The output data of this infrastructure has to be exchanged effectively, so that it is possible to efficiently produce smaller sized batches. Already today there is more data output in production than ever before. This data has to be intelligently linked in order to take care of maintenance, spare parts, mounting of machines etc. in advance.
In-situ learning in the production process
When it comes to in-situ learning the Smart Worker is being focused on as the “learner”. Mobile, personalised, and situation-adaptive learning systems support life-long learning and cross-generational passing on of know-how, especially regarding demographic change. New production workers are brought to the manufacturing level of Smart Workers through context-based learning, concepts of manufacturing laboratories (FabLabs), and simulations in virtual reality environments. Data goggles and wearables offer ideal in- and output options for various use cases.
A step-by-step realization of Smart Factories is able to restructure production centres with production work undergoing an economic and social change of values. Production sites therefore are not only stabilised on a technological and economic, but also on a social level.
VIRTUAL VEHICLE is a leading research center in Graz, Austria, that develops affordable, safe and environmentally friendly vehicle concepts for road and rail. The key aspects of the research and development include connecting numeric simulation and experimental verification, as well as developing a comprehensive, full-vehicle system simulation.
About 200 experts from an international network of industrial and research partners devise innovative solutions and develop new methods and technologies for the vehicles of tomorrow. VIRTUAL VEHICLE is currently working in close collaboration with over 80 industrial partners and, in addition to our principle scientific partner, Graz University of Technology, 45 global university research institutes.
VIRTUAL VEHICLE Research Center
Phone: +43 316 873 9077
http://www.v2c2.at - Website VIRTUAL VEHICLE
Elisabeth Pichler | idw - Informationsdienst Wissenschaft
Terahertz spectroscopy goes nano
20.10.2017 | Brown University
New software speeds origami structure designs
12.10.2017 | Georgia Institute of Technology
University of Maryland researchers contribute to historic detection of gravitational waves and light created by event
On August 17, 2017, at 12:41:04 UTC, scientists made the first direct observation of a merger between two neutron stars--the dense, collapsed cores that remain...
Seven new papers describe the first-ever detection of light from a gravitational wave source. The event, caused by two neutron stars colliding and merging together, was dubbed GW170817 because it sent ripples through space-time that reached Earth on 2017 August 17. Around the world, hundreds of excited astronomers mobilized quickly and were able to observe the event using numerous telescopes, providing a wealth of new data.
Previous detections of gravitational waves have all involved the merger of two black holes, a feat that won the 2017 Nobel Prize in Physics earlier this month....
Material defects in end products can quickly result in failures in many areas of industry, and have a massive impact on the safe use of their products. This is why, in the field of quality assurance, intelligent, nondestructive sensor systems play a key role. They allow testing components and parts in a rapid and cost-efficient manner without destroying the actual product or changing its surface. Experts from the Fraunhofer IZFP in Saarbrücken will be presenting two exhibits at the Blechexpo in Stuttgart from 7–10 November 2017 that allow fast, reliable, and automated characterization of materials and detection of defects (Hall 5, Booth 5306).
When quality testing uses time-consuming destructive test methods, it can result in enormous costs due to damaging or destroying the products. And given that...
Using a new cooling technique MPQ scientists succeed at observing collisions in a dense beam of cold and slow dipolar molecules.
How do chemical reactions proceed at extremely low temperatures? The answer requires the investigation of molecular samples that are cold, dense, and slow at...
Scientists from the Max Planck Institute of Quantum Optics, using high precision laser spectroscopy of atomic hydrogen, confirm the surprisingly small value of the proton radius determined from muonic hydrogen.
It was one of the breakthroughs of the year 2010: Laser spectroscopy of muonic hydrogen resulted in a value for the proton charge radius that was significantly...
17.10.2017 | Event News
10.10.2017 | Event News
10.10.2017 | Event News
20.10.2017 | Information Technology
20.10.2017 | Materials Sciences
20.10.2017 | Interdisciplinary Research