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IMPROVE

Innovative Modeling Approaches for Production Systems to raise validatable efficiency

Total Cost €

EC-Contrib. €

Partnership

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Outcomes and
results

IMPROVE project word cloud

Explore the words cloud of the IMPROVE project. It provides you a very rough idea of what is the project "IMPROVE" about.

covered consumption interaction sensor human consequently completely minimum resource ramp chains breakdown automatically creation suggestion monitoring demonstrators consumers virtual huge cheap observation learned techniques reducing verified thereby leads sectors optimized detected plants phases holistic energy models changing industrial data manner demand provides broad competitiveness complemented conclude dss manual interface rapid observations amount expert decision transferable hmi create performed optimise manufacturing accurate customized complexity efficiency productivity operator machine sustainability anomalous optimization instead services time factory optimizing basis industry simulations model supply

Project "IMPROVE" data sheet

The following table provides information about the project.

Coordinator	TECHNISCHE HOCHSCHULE OSTWESTFALEN-LIPPE Organization address address: CAMPUSALLEE 12 city: LEMGO postcode: 32657 website: n.a. contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.
Coordinator Country	Germany [DE]
Project website	http://www.improve-vfof.eu/
Total cost	4˙148˙554 €
EC max contribution	4˙148˙554 € (100%)
Programme	1. H2020-EU.2.1.1. (INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies - Information and Communication Technologies (ICT)) 2. H2020-EU.2.1.5.1. (Technologies for Factories of the Future)
Code Call	H2020-FoF-2015
Funding Scheme	RIA
Starting year	2015
Duration (year-month-day)	from 2015-09-01 to 2018-08-31

Partnership

Take a look of project's partnership.

#	participants	country	role	EC contrib. [€]
1	TECHNISCHE HOCHSCHULE OSTWESTFALEN-LIPPE TECHNISCHE HOCHSCHULE OSTWESTFALEN-LIPPE Organization address address: CAMPUSALLEE 12 city: LEMGO postcode: 32657 website: n.a. contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.	DE (LEMGO)	coordinator	508˙000.00
2	TECHNISCHE UNIVERSITAET MUENCHEN TECHNISCHE UNIVERSITAET MUENCHEN Organization address address: Arcisstrasse 21 city: MUENCHEN postcode: 80333 website: www.tu-muenchen.de contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.	DE (MUENCHEN)	participant	744˙670.00
3	UNIVERSITA DEGLI STUDI DI MODENA E REGGIO EMILIA UNIVERSITA DEGLI STUDI DI MODENA E REGGIO EMILIA Organization address address: VIA UNIVERSITA 4 city: MODENA postcode: 41121 website: www.unimore.it contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.	IT (MODENA)	participant	372˙500.00
4	REIFENHAEUSER REICOFIL GMBH & CO. KG REIFENHAEUSER REICOFIL GMBH & CO. KG Organization address address: Spicher Strasse 46 city: Troisdorf postcode: 53844 website: n.a. contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.	DE (Troisdorf)	participant	329˙800.00
5	EURICE EUROPEAN RESEARCH AND PROJECT OFFICE GMBH EURICE EUROPEAN RESEARCH AND PROJECT OFFICE GMBH Organization address address: HEINRICH-HERTZ-ALLEE 1 city: ST INGBERT postcode: 66386 website: www.eurice.eu contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.	DE (ST INGBERT)	participant	307˙287.00
6	BRÜCKNER MASCHINENBAU GMBH & CO.KG BRÜCKNER MASCHINENBAU GMBH & CO.KG Organization address address: Königsbergerstr. 5-7 city: Siegsdorf postcode: 83313 website: n.a. contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.	DE (Siegsdorf)	participant	290˙625.00
7	FRAUNHOFER GESELLSCHAFT ZUR FOERDERUNG DER ANGEWANDTEN FORSCHUNG E.V. FRAUNHOFER GESELLSCHAFT ZUR FOERDERUNG DER ANGEWANDTEN FORSCHUNG E.V. Organization address address: HANSASTRASSE 27C city: MUNCHEN postcode: 80686 website: www.fraunhofer.de contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.	DE (MUNCHEN)	participant	289˙199.00
8	XCELGO AS XCELGO AS Organization address address: RUGAARDSVEJ 5 city: RY postcode: 8680 website: n.a. contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.	DK (RY)	participant	279˙815.00
9	OCME SRL OCME SRL Organization address address: via del popolo 20/A city: Parma postcode: 43122 website: n.a. contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.	IT (Parma)	participant	272˙625.00
10	MARMARA UNIVERSITY MARMARA UNIVERSITY Organization address address: GOZTEPE KAMPUSU KUYUBASI city: ISTANBUL postcode: 81040 website: www.marmara.edu.tr contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.	TR (ISTANBUL)	participant	249˙500.00
11	ARCELIK A.S. ARCELIK A.S. Organization address address: KARAAGAC, SUTLUCE BEYOGLU CAD. NO:2-6 city: ISTANBUL postcode: 34445 website: http://www.arcelikas.com.tr/Cultures/en-US/ contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.	TR (ISTANBUL)	participant	238˙000.00
12	TRANSITION TECHNOLOGIES SA TRANSITION TECHNOLOGIES SA Organization address address: UL. PAWIA 55 city: WARSZAWA postcode: 01 030 website: n.a. contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.	PL (WARSZAWA)	participant	178˙688.00
13	BERNECKER + RAINER INDUSTRIE-ELEKTRONIK GESELLSCHAFT MBH BERNECKER + RAINER INDUSTRIE-ELEKTRONIK GESELLSCHAFT MBH Organization address address: B&R STRASSE 1 city: EGGELSBERG postcode: 5142 website: n.a. contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.	AT (EGGELSBERG)	participant	87˙843.00

Map

Project objective

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.

Deliverables

List of deliverables.
Evaluate the forecasting quality	Documents, reports	2019-05-31 17:15:59
Quality based HMI, which supports decision making in problematic production scenarios	Documents, reports	2019-05-31 17:15:53
Learned causality model which integrates expert knowledge	Documents, reports	2019-05-31 17:15:49
An algorithm to classify an anomaly as critical or not	Documents, reports	2019-05-31 17:15:46
Toolbox to understand the effects of the transition from traditional to smart production. Design learning scenarios and on-the-job training formats that help users to skilfully operate the system and to modify sociotechnical arrangements	Documents, reports	2019-05-31 17:16:00
An algorithm to identifying the root cause of a fault	Documents, reports	2019-05-31 17:15:58
Report on the overall architecture which ensures the collaboration of all WPs	Documents, reports	2019-05-31 17:15:50
Framework for operator knowledge collection	Documents, reports	2019-05-31 17:15:43
Open access summary report	Documents, reports	2019-05-31 17:15:48
Transfer the implementation from the lab demonstrators to three prototypes in different industries	Demonstrators, pilots, prototypes	2019-05-31 17:15:49
The implemented algorithms are validated on lab demonstrators	Demonstrators, pilots, prototypes	2019-05-31 17:15:52
An intelligent optimization algorithm which is able to find the efficient configuration of the factory	Documents, reports	2019-05-31 17:15:46
Summary of all requirements for all parts of the project	Documents, reports	2019-05-31 17:16:02
An algorithm detecting anomalies out of observation based on learned models	Documents, reports	2019-05-31 17:15:56
Evaluate the results of the pilot runs of three demonstrators and the numerical benefit	Documents, reports	2019-05-20 13:32:42
External project website	Other	2019-05-31 18:04:40
Behaviour model which is learned	Documents, reports	2019-05-31 18:04:41

Take a look to the deliverables list in detail: detailed list of IMPROVE deliverables.

Publications

List of publications.
year	authors and title	journal	last update
2017	Eray GenÃ§ay, Peter SchÃ¼ller, Esra Erdem Applications of non-monotonic reasoning to automotive product configuration using answer set programming published pages: 1-16, ISSN: 0956-5515, DOI: 10.1007/s10845-017-1333-3	Journal of Intelligent Manufacturing	2019-06-19
2018	Benedikt Eiteneuer; Oliver Niggemann LSTM for Model-Based Anomaly Detection in Cyber-Physical Systems published pages: , ISSN: , DOI: 10.5281/zenodo.1409641	DX18 29th International Workshop on Principles of Diagnostics 1	2019-05-20
2018	Khaled Al-Gumaei, Kornelia Schuba, Andrej Friesen, Sascha Heymann, Carsten Pieper, Florian Pethig, and Sebastian Schriegel A Survey of Internet of Things and Big Data Integrated Solutions for Industrie 4.0 published pages: , ISSN: , DOI: 10.5281/zenodo.1446427	2018 IEEE 23rd International Conference on Emerging Technologies and Factory Automation 1536098400	2019-05-20

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The information about "IMPROVE" are provided by the European Opendata Portal: CORDIS opendata.