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Funded Projects › H2020

IMPROVE · Innovative Modeling Approaches for Production Systems to raise validatable efficiency

H2020Status: CLOSED1 September 201531 August 2018EU funding €4,148,554Call H2020-FoF-2014-2015

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.

Consortium · 14 organisations

coordinator

TECHNISCHE HOCHSCHULE OSTWESTFALEN-LIPPE

DE · €508,000

participant

TRANSITION TECHNOLOGIES SA

PL · €178,688

participant

B&R INDUSTRIAL AUTOMATION GMBH

AT · €87,844

participant

BRÜCKNER MASCHINENBAU GMBH & CO.KG

DE · €290,625

participant

FRAUNHOFER GESELLSCHAFT ZUR FORDERUNG DER ANGEWANDTEN FORSCHUNG EV

DE · €289,199

participant

TECHNISCHE UNIVERSITAET MUENCHEN

DE · €744,670

participant

EURICE EUROPEAN RESEARCH AND PROJECT OFFICE GMBH

DE · €307,288

thirdParty

TRANSITION TECHNOLOGIES PSC SPOLKA AKCYJNA

PL

participant

XCELGO AS

DK · €279,815

participant

ARCELIK A.S.

TR · €238,000

participant

REIFENHAEUSER REICOFIL GMBH & CO. KG

DE · €329,800

participant

UNIVERSITA DEGLI STUDI DI MODENA E REGGIO EMILIA

IT · €372,500

participant

MARMARA UNIVERSITY

TR · €249,500

participant

OCME SRL

IT · €272,625

Research fields

View the official record on CORDIS →

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Source: CORDIS, Publications Office of the European Union. Global Research Partnerships surfaces open EU research data to help you find collaborators; we are not affiliated with the European Union.