IMPROVEProject reference: 678867
Funded under :
H2020-EU.2.1.5. - INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies - Advanced manufacturing and processing
H2020-EU.18.104.22.168. - Technologies for Factories of the Future
Innovative Modeling Approaches for Production Systems to raise validatable efficiency
Total cost:EUR 4 148 554
EU contribution:EUR 4 148 554
Call for proposal:H2020-FoF-2015See other projects for this call
Funding scheme:RIA - Research and Innovation action
The rise of the system complexity, the rapid changing of consumers demand require the European industry to produce more customized products with a better use of resources.
The main objective of IMPROVE is to create a virtual Factory of the Future, which provides services for user support, especially on optimization and monitoring. By monitoring anomalous behaviour will be detected before it leads to a breakdown. Thereby, anomalous behaviour is detected automatically by comparing sensor observation with an automatically generated model, learned out of observations. Learned models will be complemented with expert knowledge because models cannot learn completely. This will ensure and establish a cheap and accurate model creation instead of manual modelling. Optimization will be performed and results will be verified through simulations. Therefore, the operator has a broad decision basis as well as a suggestion of a DSS (Decision Support System), which will improve the manufacturing system. Operator interaction will be done by a new developed HMI (Human Machine Interface) providing the huge amount of data in a reliable manner.
To reach this aim, every step of the research process is covered by a minimum of two experienced consortium partners, who conclude the results of the project using four demonstrators.
The basis for IMPROVE are industrial use-cases, which are transferable to various industrial sectors. Main challenges are reducing ramp-up phases, optimizing production plants to increase the cost-efficiency, reducing time to production with condition monitoring techniques and optimise supply chains including holistic data. Consequently, the resource consumption, especially the energy consumption in manufacturing activities, can be reduced. The optimized plants and supply chains enhance the productivity of the manufacturing during different phases of production. Furthermore, the industrial competitiveness and sustainability in EU will be strengthened.
EU contribution: EUR 508 000
EU contribution: EUR 744 670
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VIA UNIVERSITA 4
EU contribution: EUR 249 500
GOZTEPE KAMPUSU KUYUBASI
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Spicher Strasse 46
EU contribution: EUR 288 125
EU contribution: EUR 238 000
KARAAGAC, SUTLUCE BEYOGLU CAD. NO:2-6
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via del popolo 20/A
EU contribution: EUR 178 688
UL PAWIA 55
EU contribution: EUR 175 250
B&R STRASSE 1
EU contribution: EUR 313 125
EU contribution: EUR 289 375