Facts4Workers will develop and demonstrate workplace solutions that support the inclusion of increasing elements of knowledge work on the factory floor. These solutions will empower workers on the shop floor with smart factory ICT infrastructure. Advancement will be gained through integrating several building blocks from a flexible smart factory infrastructure, focusing on workers’ needs, expectations and requirements, and through support by organizational measures and change management.
Factory of the Future
Factories of the Future will have pervasive, networked information and communication technology (ICT) that collects processes and presents large amounts of data. These Smart Factories will autonomously keep track of inventory, machine parameters, and product quality and workforce activities. Nonetheless, the worker will play the central role within future forms of production.
Intelligent Support for Human Worksforce
In line with the recommendations of the major European and international high-level stakeholder groupings (FoF PPP, Smart Manufacturing Leadership Coalition SMLC, EFFRA), the project partners believe that the key to ensure long-term competitiveness of the EU’s manufacturing industry is to strengthen human workforce on all levels - from shop floor to management - since it is the most skilled, flexible, sophisticated and productive asset of any production system. Workers have to be supported intelligently by all means offered by modern ICT. This leverages their innovation capacity and leads to higher skilled workers on the one hand, and to an attractive work environment on the other hand.
Worker-Centric and Data-Driven Technology Building Blocks
The project’s main ambition is to create “FACTorieS for WORKERS” (Fact4Workers). Therefor, a serious effort will be put into integrating already available IT enablers into a seamless & flexible Smart Factory infrastructure based on worker-centric and data-driven technology building blocks. As FACTS4WORKERS is underpinned by a clear human-centric approach usability, user experience and technology acceptance are of the utmost project interest.
These solutions will be developed according to the following four industrial challenges which are generalizable to manufacturing in general:
(1) personalized augmented operator (IC1),
(2) worked-centric rich-media knowledge sharing/management (IC2),
(3) self-learning manufacturing workplaces (IC3), and
(4) in-situ mobile learning in the production (IC4)
Increasing Job Satisfaction
In line with its assumptions on impacts on productivity, the project partners estimate to be able to increase job satisfaction for 800,000 European workers by the year 2025.
- University of Zurich
- Hidria Tehnoloski Center
- Universita degli Studi di Firenze
- Evolaris Next Level
- Johnson Controls
- Technische Universitat Wien
- Thyssenkrupp Steel Europe
- Schaffler Technologies
- Lappeenrannan Teknillen Yliopisto