Smart European Space Access thru Modern Exploitation of Data Science

Información del proyecto

SESAME

Identificador del acuerdo de subvención: 821875

DOI

10.3030/821875

Proyecto cerrado

Fecha de la firma de la CE 27 Marzo 2019

Fecha de inicio 1 Abril 2019

Fecha de finalización 30 Septiembre 2022

Financiado con arreglo a

• INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies – Space

Coste total

€ 3 376 360,00

Aportación de la UE

€ 3 369 760,00

Coordinado por

ARIANEGROUP SAS
France

CORDIS proporciona enlaces a los documentos públicos y las publicaciones de los proyectos de los programas marco HORIZONTE.

Los enlaces a los documentos y las publicaciones de los proyectos del Séptimo Programa Marco, así como los enlaces a algunos tipos de resultados específicos, como conjuntos de datos y «software», se obtienen dinámicamente de OpenAIRE .

Resultado final

Documents, reports (15)

State of the Art update

Description of state of the art in predictive quality predictive maintenance and artificial intelligence for manufacturing

Ethical Guidelines

Ethical assessment of application of data science and AI in manufacturing

Final End User Evaluation

Final end users evaluation concerning algorithms overall performances.

Technology acceptance and human factors impact

Result of application of human factors research questionnaires and interviews with production operators concerning usability of AI in manufacturing

Guidelines for Transformation

Competence framework and needed changes to introduce data science in manufacturing

Detailed Concept Specification First Edition

Concept specification and description first edition

Annual Reports to the EC

Annual Reports to the European Commission.

Validation Strategy

Validation strategy validation objectives validation scenarios validation plan

Project Management Plan
PDER First Edition

Dissemination plan and dissemination results eg research paper presented to conferences of each year

Data Management Plan
Business Plan and Ecosystem Organization

Business plan for application of project results for other industries than Arianegroup

Detailed Concept Specification Final Edition

Concept specification and description update and final version

End User Evaluation for Feasibility

Summary of end users evaluation on the work performed, risk assessment, recommendations and evaluation of feasibility for step 2.

PDER Final Version

Dissemination plan and dissemination results (e.g. research paper presented to conferences) of each year. Final versions with outcomes of dissemination.

Websites, patent fillings, videos etc. (1)

Project Web Site

Project Web Site where project results of dissemination level PU will be shared with the community

Publicaciones

Peer reviewed articles (2)

Energy-Aware Model Predictive Control of Assembly Lines

Autores: Francesco Liberati, Chiara Maria Francesca Cirino, Andrea Tortorelli
Publicado en: Actuators, 2022, ISSN 2076-0825
Editor: MDPI
DOI: 10.3390/act11060172

A Parallel Deep Reinforcement Learning Framework for Controlling Industrial Assembly Lines

Autores: Andrea Tortorelli; Muhammad Imran; Francesco Delli Priscoli; Francesco Liberati
Publicado en: Electronics; Volume 11; Edición 4; Pages: 539, Edición 1, 2022, ISSN 2079-9292
Editor: mdpi
DOI: 10.3390/electronics11040539

Conference proceedings (7)

Optimal Control of Industrial Assembly Lines

Autores: Francesco Liberati, Andrea Tortorelli, Cesar Mazquiaran, Muhammad Imran, Martina Panfili
Publicado en: 2020 7th International Conference on Control, Decision and Information Technologies (CoDIT), 2020, Página(s) 721-726, ISBN 978-1-7281-5953-9
Editor: IEEE
DOI: 10.1109/codit49905.2020.9263946

Feature Engineering and Machine Learning Predictive Quality Models for Friction Stir Welding Defect Prediction in Aerospace Applications

Autores: Marta Camps, Maddi Etxegarai, Francesc Bonada, William Lacheny, Sylvain Pauleau, Xavier Domingo
Publicado en: IOS Press Ebooks - Artificial Intelligence Research and Development, 2022, ISBN 978-1-64368-327-0
Editor: Ebook: Artificial Intelligence Research and Development
DOI: 10.3233/faia220330

Reduction of launcher costs thanks to artificial intelligence

Autores: Jean Oswald1, Thomas Jues1, Massimo Ferlin1, Igor Girard-Carrabin2, Fabrice Blondeau2, 1CNES Space Transportation Directorate 2ArianeGroup SAS
Publicado en: Space Cost Engineering at ESA ESTEC 2022, 2022
Editor: ESA ESTEC

THE INFLUENCE OF TECHNOLOGY READINESS IN ORGANIZATIONAL LIFE A STUDY WITH AEROSPACE INDUSTRY SPECIALISTS

Autores: STĂNESCU, CRIȘAN & MARSH, NUPSPA, BUCHAREST
Publicado en: STRATEGICA International Conference (10th edition), 2022
Editor: SNSPA, National Bank of Romania, SAITIRO

Impact of Technology Readiness and Work Engagement on employees’ Performance in the aerospace industry

Autores: Stănescu, Crișan & Marsh, NUPSPA, Bucharest
Publicado en: ICSD 2022: 10th International Conference on Sustainable Development, 2022
Editor: European Center of Sustainable Development iand Canadian Institute of Technology

Operations Management of Satellite Launch Centers

Autores: Andrea Tortorelli; Alessandro Giuseppi; Federico Lisi; Emanuele De Santis; Francesco Liberati
Publicado en: Ka and Broadband Communications, Navigation and Earth Observation Conference, 2019
Editor: Ka and Broadband Communications, Navigation and Earth Observation Conference
DOI: 10.5281/zenodo.3478307

Un peu plus loin vers les étoiles

Autores: Olivier. Dugast (1), Pierre. Leblond (1), Mickael Afonso (2), David Larroque (2) (1) CapGemini (2) ArianeGroup.
Publicado en: Salon de la Data, 2022
Editor: IMAGINA