DIMAND proiektuaren ematea

Atzealdea

DIMAND proiektuaren ematea

EMAKIDA

DIMAND proiektuaren ematea

2019·05·22

$titulo.getData()


Europar Batzordeak DIMAND, Digital Manufacturing and Design Training Network proiektua finantziatu du, H2020-MSCA-ITN-2018 deialdiaren barruan, 814078 erreferentziarekin.

 

Web orria

Informazio orokorra

  •  Hasiera eta amaiera datak: 2019ko maiatzak 1 - 2023ko apirilak 30
  •  Onartutako aurrekontua guztira eta EBren diru-laguntza: 3.750.227,28 € eta 3.750.227,28 €
  •  Proiektua koordinatzen duen enpresa: MONDRAGON GOI ESKOLA POLITEKNIKOA JOSE MARIA ARIZMENDIARRIETA S COOP (Espainia)

Helburua

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.

Erlazionatutako albisteak