HORIZON EUROPE
Europeo
Specific Challenge:Smart factories are characterised by processes involving interlinked work pieces and associated tools as well as logistics operations. These are generating large amounts of data, which can be used for analysis and prediction as well as to optimise the quality of manufacturing operations and manufactured products. However, a major challenge for manufacturing is the reliability of data.
Scope:To address the challenge of data reliability, the sensors, actuators and instruments used at various levels of integration in the manufacturing process – often operating under adverse physical conditions – need to provide adequate levels of data accuracy and precision. Measurement traceability should ensure optimal manufacturing quality. Furthermore, suitable modelling and simulation approaches and data fusion techniques are needed to interpret and use sensor/actuator data in a factory.
Proposals should therefore address at least three of the following aspects:
Integrate intelligent, cognitive, adaptive and cost-effective instruments and systems of sensors/actuators for process monitoring and control (e.g. virtual sensors and digit...
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Specific Challenge:Smart factories are characterised by processes involving interlinked work pieces and associated tools as well as logistics operations. These are generating large amounts of data, which can be used for analysis and prediction as well as to optimise the quality of manufacturing operations and manufactured products. However, a major challenge for manufacturing is the reliability of data.
Scope:To address the challenge of data reliability, the sensors, actuators and instruments used at various levels of integration in the manufacturing process – often operating under adverse physical conditions – need to provide adequate levels of data accuracy and precision. Measurement traceability should ensure optimal manufacturing quality. Furthermore, suitable modelling and simulation approaches and data fusion techniques are needed to interpret and use sensor/actuator data in a factory.
Proposals should therefore address at least three of the following aspects:
Integrate intelligent, cognitive, adaptive and cost-effective instruments and systems of sensors/actuators for process monitoring and control (e.g. virtual sensors and digital twins) into existing production or pilot lines;Showcase real-time data validation within an actual production line, and incorporate data integrity strategies based on, e.g., distributed ledger (blockchain) technology.Demonstrate how distributed, time stamped and persistent solutions for automated collection, storage, analysis and use of production data can lead to an integrated approach to zero-defect manufacturing;Develop strategies for rapid line qualification and reconfiguration based on large pre-existing data sets and related open protocols. Certification, regulatory and standardisation activities related to the proposed solutions should be included in the proposal.
Proposals submitted under this topic should include a business case and exploitation strategy, as outlined in the Introduction to the LEIT part of this Work Programme.
Activities should start at TRL 5 and achieve TRL 7 at the end of the project.
The Commission considers that proposals requesting a contribution from the EU between EUR 8 and 10 million would allow this specific challenge to be addressed appropriately. Nonetheless, this does not preclude submission and selection of proposals requesting other amounts.
Expected Impact:Increased equipment productivity through rapid error localisation (10%);Reduction of ramp-up time (> 15 %) using smart sensors/actuators and existing production data sets;AI-driven instrumentation stimulating the transformation towards smart and fast processes leading to decreased time-to-market (time reduction >10%);Significant increase in quality of manufactured products leading to a reduction of scrap of at least 50%. Relevant indicators and metrics, with baseline values, should be stated clearly in the proposal.
Cross-cutting Priorities:Contractual Public-Private Partnerships (cPPPs)FoF
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Características del consorcio
:
La ayuda es de ámbito europeo, puede aplicar a esta linea cualquier empresa que forme parte de la Comunidad Europea.
Características del Proyecto
Los costes de personal subvencionables cubren las horas de trabajo efectivo de las personas directamente dedicadas a la ejecución de la acción. Los propietarios de pequeñas y medianas empresas que no perciban salario y otras personas físicas que no perciban salario podrán imputar los costes de personal sobre la base de una escala de costes unitarios
Los otros costes directos se dividen en los siguientes apartados: Viajes, amortizaciones, equipamiento y otros bienes y servicios. Se financia la amortización de equipos, permitiendo incluir la amortización de equipos adquiridos antes del proyecto si se registra durante su ejecución. En el apartado de otros bienes y servicios se incluyen los diferentes bienes y servicios comprados por los beneficiarios a proveedores externos para poder llevar a cabo sus tareas
La subcontratación en ayudas europeas no debe tratarse del core de actividades de I+D del proyecto. El contratista debe ser seleccionado por el beneficiario de acuerdo con el principio de mejor relación calidad-precio bajo las condiciones de transparencia e igualdad (en ningún caso consistirá en solicitar menos de 3 ofertas). En el caso de entidades públicas, para la subcontratación se deberán de seguir las leyes que rijan en el país al que pertenezca el contratante
Características de la financiación
Described in Annex A of the Work Programme.
A number of non-EU/non-Associated Countries that are not automatically eligible for funding have made specific provisions for making funding available for their participants in Horizon 2020 projects. See the information in the Online Manual.
2. Eligibility and admissibility conditions:
Described in Annex B and Annex C of the Work Programme.
Proposal page limits and layout: please refer to Part B of the proposal template in the submission system below.
3. Evaluation:
Evaluation criteria, scoring and thresholds are described in Annex H of the Work Programme.
Submission and evaluation processes are described in the Online Manual.
The threshold for the criteria Excellence and Impact will be 4. The overall threshold, applying to the sum of the three individual scores, will be 12.
Under 3 (a) Proposals are first ranked in separate lists according to the topics against which they were submitted (‘topic ranked lists’). When comparing ex aequo proposals from different topics, proposals having a higher position in their respective 'topic ranked list' will be considered to have a higher priority in the overall ranked list.
Under 3 (b) For all topics and types of action, the prioritisation will be done first on the basis of the score for Impact, and then on that for Excellence.
Described in Annex A of the Work Programme.
A number of non-EU/non-Associated Countries that are not automatically eligible for funding have made specific provisions for making funding available for their participants in Horizon 2020 projects. See the information in the Online Manual.
2. Eligibility and admissibility conditions:
Described in Annex B and Annex C of the Work Programme.
Proposal page limits and layout: please refer to Part B of the proposal template in the submission system below.
3. Evaluation:
Evaluation criteria, scoring and thresholds are described in Annex H of the Work Programme.
Submission and evaluation processes are described in the Online Manual.
The threshold for the criteria Excellence and Impact will be 4. The overall threshold, applying to the sum of the three individual scores, will be 12.
Under 3 (a) Proposals are first ranked in separate lists according to the topics against which they were submitted (‘topic ranked lists’). When comparing ex aequo proposals from different topics, proposals having a higher position in their respective 'topic ranked list' will be considered to have a higher priority in the overall ranked list.
Under 3 (b) For all topics and types of action, the prioritisation will be done first on the basis of the score for Impact, and then on that for Excellence.
Proposals submitted under these topics should include a business case and exploitation strategy, as outlined in the Introduction to the LEIT part of this Work Programme.
4. Indicative time for evaluation and grant agreements:
Information on the outcome of evaluation (single-stage call): maximum 5 months from the deadline for submission.
Signature of grant agreements: maximum 8 months from the deadline for submission.
5. Proposal templates, evaluation forms and model grant agreements (MGA):
Innovation Action:
Specific provisions and funding rates
Standard proposal template
Standard evaluation form
General MGA - Multi-Beneficiary
Annotated Grant Agreement
6. Additional provisions:
Horizon 2020 budget flexibility
Classified information
Technology readiness levels (TRL) – where a topic description refers to TRL, these definitions apply
Members of consortium are required to conclude a consortium agreement, in principle prior to the signature of the grant agreement.
7. Open access must be granted to all scientific publications resulting from Horizon 2020 actions.
Where relevant, proposals should also provide information on how the participants will manage the research data generated and/or collected during the project, such as details on what types of data the project will generate, whether and how this data will be exploited or made accessible for verification and re-use, and how it will be curated and preserved.
Open access to research data
The Open Research Data Pilot has been extended to cover all Horizon 2020 topics for which the submission is opened on 26 July 2016 or later. Projects funded under this topic will therefore by default provide open access to the research data they generate, except if they decide to opt-out under the conditions described in Annex L of the Work Programme. Projects can opt-out at any stage, that is both before and after the grant signature.
Note that the evaluation phase proposals will not be evaluated more favourably because they plan to open or share their data, and will not be penalised for opting out.
Open research data sharing applies to the data needed to validate the results presented in scientific publications. Additionally, projects can choose to make other data available open access and need to describe their approach in a Data Management Plan.
Projects need to create a Data Management Plan (DMP), except if they opt-out of making their research data open access. A first version of the DMP must be provided as an early deliverable within six months of the project and should be updated during the project as appropriate. The Commission already provides guidance documents, including a template for DMPs. See the Online Manual.
Eligibility of costs: costs related to data management and data sharing are eligible for reimbursement during the project duration.
The legal requirements for projects participating in this pilot are in the article 29.3 of the Model Grant Agreement.
8. Additional documents:
1. Introduction WP 2018-20
5. Introduction to Leadership in enabling and industrial technologies (LEITs) WP 2018-20
5ii. Nanotechnologies, advanced materials, advanced manufacturing and processing, biotechnology WP 2018-20
General annexes to the Work Programme 2018-2020
Legal basis: Horizon 2020 Regulation of Establishment
Legal basis: Horizon 2020 Rules for Participation
Legal basis: Horizon 2020 Specific Programme
Información adicional de la convocatoria
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