Project description
Software for data-driven research in manufacturing
SMEs are the backbone of Europe’s economy and the force behind the strength and resilience of European industry. In manufacturing, SMEs improve competitiveness by reducing production costs while guaranteeing high levels of quality. This process requires constant adaptation of new technologies, such as digital transformation and advanced data-driven systems. Despite the reported success, currently only 37 % of SMEs process data to evaluate their manufacturing strategy, mainly due to lack of resources for advanced data analysis. The EU-funded CTDM project will support SMEs' ability to use more available data and automated data analytics software and services with a direct focus to improving their production strategy. CTDM will also develop new data analytics approaches in the field of deep learning.
Objective
"There is one leading question dominating the manufacturing industry across all sectors: ""I need to produce cheap and fast without quality defects – how can I optimize that?"". After several huge improvements like lean manufacturing, the next big hope for enhancements is the so-called Industry 4.0. While there exist different definitions of Industry 4.0 there is one common denominator: data-driven improvements. However, new technologies also place new demands on manufacturing companies in terms of manpower for data analysis and know-how. Particularly the backbone of the European economy – small and medium-sized companies –, often lack in resources like data scientists and internal knowledge for advanced analytics. According to a study of the Laboratory for Machine Tools and Production Engineering only 37% of the today processed data is explored across various industries, which shows there is still a long way to go for many companies. However, the topic of data analysis in production had already been widely researched, but the research did not reach the broad masses yet. DatenBerg aims to address that topic with its automated data-analytics software and service offer. During the proposed projects new data-analytics approaches in the area of deep learning shall be developed."
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- natural sciences computer and information sciences data science
- natural sciences computer and information sciences software
- natural sciences computer and information sciences artificial intelligence machine learning deep learning
You need to log in or register to use this function
Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
-
H2020-EU.2.3. - INDUSTRIAL LEADERSHIP - Innovation In SMEs
MAIN PROGRAMME
See all projects funded under this programme -
H2020-EU.2.3.2.2. - Enhancing the innovation capacity of SMEs
See all projects funded under this programme
Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
CSA-LSP - Coordination and support action Lump sum
See all projects funded under this funding scheme
Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) H2020-INNOSUP-2018-2020
See all projects funded under this callCoordinator
Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.
76131 KARLSRUHE
Germany
The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.