Objective
It is the high ambition of the project to create “FACTorieS for WORKERS” (FACTS4WORKERS), therefore 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.
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 being supported by organisational measures and change management. In line with our assumptions on impacts on productivity we therefore estimate that that we can increase job satisfaction for 800,000 European workers by the year 2025.
These solutions will be developed according to the following four industrial challenges which are generalise-able to manufacturing in general: personalised augmented operator (IC1), worked-centric rich-media knowledge sharing/management (IC2), self-learning manufacturing workplaces (IC3) and in-situ mobile learning in the production (IC4).
Moreover, FACT4WORKER‘s objectives in terms of measureable indicators are:
• To increase problem-solving and innovation skills of workers;
• To increase cognitive job satisfaction of workers;
• To increase average worker productivity by 10%;
• To achieve TRL 5-7 on a number of worker-centric solutions through which workers become the smart element in smart factories
The smart factory demonstrator will be run within the automotive supply chain. The consortium is composed by 15 partners from 7 different EU member states.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
- natural sciencescomputer and information sciencessoftwaresoftware development
- engineering and technologymaterials engineeringtextiles
- social scienceseconomics and businesseconomicsproduction economicsproductivity
- social scienceseconomics and businessbusiness and managementemployment
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Programme(s)
Call for proposal
(opens in new window) H2020-FoF-2014-2015
See other projects for this callSub call
H2020-FoF-2014
Funding Scheme
IA - Innovation actionCoordinator
8010 Graz
Austria
The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.