Project description
Training in intelligent informatics-driven manufacturing
One of the biggest challenges in many industries today is to find smart ways to integrate intelligent informatics-driven manufacturing. One way is to start by training future Industry 4.0 practitioners. In this context, the EU-funded DiManD project will develop a multidisciplinary research and training framework for early-stage researchers (ESRs). It will provide comprehensive and appropriate training and development activities for ESRs, including the Integrated Training and Demonstration Platform. The project will create the system framework for standardised architectures and methodologies facilitating the development of cyber-physical production resources and the necessary ICT infrastructure, and design and develop a control concept and underpinning data models for autonomous behaviour adaptation of distributed manufacturing systems. DiManD will also analyse and apply new ICT trends in manufacturing systems and disseminate the results.
Objective
DiManD aims to develop a high-quality multidisciplinary, multi-professional and cross-sectorial research and training
framework for Europe with the purpose of improving Europe’s industrial competitiveness by designing and implementing an
integrated programme in the area of intelligent informatics driven manufacturing that will form the benchmark for training
future Industrie 4.0 practitioners.
The aim is supported by the following objectives:
1. To provide a comprehensive and appropriate set of training and development activities for ESRs comprising network-wide
modules, courses and events, both technical and non-technical, and specific development activities, including the Integrated
Training and Demonstration Platform as a legacy on which future developments can be built, to elevate the status of ESRs
to become Digital Manufacturing Ambassadors.
2. To create the system framework to standardised architectures and methodologies that facilitate the development of cyberphysical production resources and the necessary ICT infrastructure that enables the seamless integration of these into
cyber-physical systems.
3. To design and develop a control concept and underpinning data models for autonomous behaviour adaptation of
distributed manufacturing systems based on context-aware autonomous systems.
4. To analyse and apply new ICT trends, such as Big Data, Cyber Physical Systems and Data Mining, in manufacturing
systems to enable more efficient processing of data for control and configuration and advanced diagnostics and monitoring
purposes that at the same time provide security and privacy by design without compromising the need to share data
between different organisations in the manufacturing chain.
5. To ensure that the results of the DiManD programme are effectively communicated to European industry, associations,
stakeholders (including universities, research and technology organisations), and the public domain.
Fields of science
Keywords
Programme(s)
Coordinator
20500 Arrasate
Spain
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Participants (8)
NG7 2RD Nottingham
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100 44 Stockholm
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NG3 2NJ Nottingham
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
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Limerick
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20009 DONOSTIA-SAN SEBASTIAN (GIPUZKOA)
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00185 Roma
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2829-516 Caparica
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48550 Muskiz
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Partners (18)
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20018 San Sebastian
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48940 Leioa
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CV7 9JU Coventry
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24061 Blacksburg Va
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820 60 Delsbo
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1756 Sofia
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20870 Elgoibar
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20870 Elgoibar
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20123 Milano
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20560 Onati
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20140 Andoain
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2950 805 Quinta Do Anjo
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2829 516 Caparica, Almada
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
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70014 Conversano
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20500 Arrasate Mondragon
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UB8 3PH Uxbridge
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70014 Conversano
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20500 Mondragon Guipuzcoa
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.