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UPTIME SIGNED

UNIFIED PREDICTIVE MAINTENANCE SYSTEM

Total Cost €

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EC-Contrib. €

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Partnership

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Project "UPTIME" data sheet

The following table provides information about the project.

Coordinator
BIBA - BREMER INSTITUT FUER PRODUKTION UND LOGISTIK GMBH 

Organization address
address: HOCHSCHULRING 20
city: BREMEN
postcode: 28359
website: www.biba.uni-bremen.de

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]
 Total cost 6˙248˙367 €
 EC max contribution 4˙847˙836 € (78%)
 Programme 1. H2020-EU.2.1.5.1. (Technologies for Factories of the Future)
 Code Call H2020-FOF-2017
 Funding Scheme IA
 Starting year 2017
 Duration (year-month-day) from 2017-09-01   to  2020-08-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    BIBA - BREMER INSTITUT FUER PRODUKTION UND LOGISTIK GMBH DE (BREMEN) coordinator 1˙045˙305.00
2    INSTITUTE OF COMMUNICATION AND COMPUTER SYSTEMS EL (ATHINA) participant 534˙625.00
3    MEWS INNOVATION FR (TOULOUSE) participant 498˙312.00
4    FFT PRODUKTIONSSYSTEME GMBH & CO. KG DE (FULDA) participant 440˙562.00
5    RINA CONSULTING SPA IT (GENOVA) participant 435˙312.00
6    UBITECH LIMITED CY (LIMASSOL) participant 430˙062.00
7    PUMACY TECHNOLOGIES AG DE (BERNBURG) participant 394˙187.00
8    SUITE5 DATA INTELLIGENCE SOLUTIONS LIMITED CY (LIMASSOL) participant 335˙687.00
9    WHIRLPOOL EMEA SPA IT (PERO) participant 305˙812.00
10    ISADEUS FR (PARIS) participant 219˙187.00
11    M.J.MAILLIS S.A. INDUSTRIAL PACKAGING SYSTEMS AND TECHNOLOGIES EL (KIFISSA) participant 171˙281.00
12    SUITE5 DATA INTELLIGENCE SOLUTIONS LIMITED IE (Rathcoole) participant 37˙499.00

Map

 Project objective

UPTIME will seek to reframe predictive maintenance strategy by proposing a unified framework and to create an associated unified information system in alignment to the aforementioned framework. Therefore, UPTIME will extend and unify new digital, e-maintenance services and tools in order to exploit the full potential of a predictive maintenance strategy with the UPTIME solution, will deploy and validate the UPTIME solution in the manufacturing companies participating in the UPTIME consortium and will diffuse the UPTIME solution in the manufacturing community. UPTIME will enable manufacturing companies having installed sensors to fully exploit the availability of huge amounts of data with respect to the implementation of a predictive maintenance strategy. Moreover, production, quality and logistics operations driven by predictive maintenance will benefit from UPTIME. UPTIME will enable manufacturing companies to reach Gartner’s level 4 of data analytics maturity (“optimized decision-making”) in order to improve physically-based models and to synchronise maintenance with quality management, production planning and logistics options. In this way, it will optimize in-service efficiency through reduced failure rates and downtime due to repair, unplanned plant/production system outages and extension of component life. Moreover, it will contribute to increased accident mitigation capability since it will be able to avoid crucial breakdown with significant consequences. Consequently, UPTIME will exploit the full potential of predictive maintenance management and its interactions with other industrial operations by investigating a unified methodology and by implementing a unified information system addressing the predictive maintenance strategy.

 Deliverables

List of deliverables.
FFT Business Case, Conceptualization and Evaluation Strategy Documents, reports 2020-02-13 17:07:08
Whirlpool Business Case, Conceptualization and Evaluation Strategy Documents, reports 2020-02-13 17:07:07
Market Research Documents, reports 2020-02-13 17:07:08
MAILLIS Business Case, Conceptualization and Evaluation Strategy Documents, reports 2020-02-13 17:07:07
Catalogue of PM Models, Techniques, Platforms Other 2020-02-13 17:07:07
Dissemination, Communication and Data Management Plan Documents, reports 2020-02-13 17:07:08

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

 Publications

year authors and title journal last update
List of publications.
2017 Alexandros Bousdekis, Nikos Papageorgiou, Babis Magoutas, Dimitris Apostolou, Gregoris Mentzas
Information Processing for Generating Recommendations Ahead of Time in an IoT-Based Environment
published pages: 38-62, ISSN: 2166-7241, DOI: 10.4018/IJMSTR.2017100103
International Journal of Monitoring and Surveillance Technologies Research 5 10 2020-02-13
2018 Alexandros Bousdekis, Nikos Papageorgiou, Babis Magoutas, Dimitris Apostolou, Gregoris Mentzas
Enabling condition-based maintenance decisions with proactive event-driven computing
published pages: 173-183, ISSN: 0166-3615, DOI: 10.1016/j.compind.2018.04.019
Computers in Industry 100 2020-02-13
2018 Karl Hribernik, Moritz von Stietencron, Alexandros Bousdekis, Bernd Bredehorst, Gregoris Mentzas, Klaus-Dieter Thoben
Towards a Unified Predictive Maintenance System - A Use Case in Production Logistics in Aeronautics
published pages: 131-138, ISSN: 2351-9789, DOI: 10.1016/j.promfg.2018.10.168
Procedia Manufacturing 16 2020-02-13

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

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