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Financement de l’UE (4 148 554 €) : Approches de modélisation innovantes pour les systèmes de production afin d’augmenter l’efficacité validable Hor11/08/2015 Programme de recherche et d'innovation de l'UE « Horizon »
Texte
Approches de modélisation innovantes pour les systèmes de production afin d’augmenter l’efficacité validable
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.
| Arcelik a.s. | 238 000 € |
| B&R Industrial Automation GmbH | 87 844 € |
| Brückner Maschinenbau GmbH & Co.KG | 290 625 € |
| Eurice European Research AND Project Office GmbH | 307 288 € |
| Fraunhofer Gesellschaft ZUR Forderung DER Angewandten Forschung e. V. | 289 199 € |
| Marmara University | 249 500 € |
| Ocme Srl | 272 625 € |
| Reifenhaeuser Reicofil GmbH & Co. KG | 329 800 € |
| Technische Hochschule Ostwestfalen-Lippe | 508 000 € |
| Technische Universitaet Muenchen | 744 670 € |
| Transition Technologies PSC SA | 0,00 € |
| Transition Technologies SA | 178 688 € |
| Universita Degli Studi Di Modena E Reggio Emilia | 372 500 € |
| Xcelgo AS | 279 815 € |
https://cordis.europa.eu/project/id/678867
Cette annonce se réfère à une date antérieure et ne reflète pas nécessairement l’état actuel.