Project description
Digitalising the European launcher industry
The European launcher industry has made significant advances in the past decades, making noteworthy contributions to the global space exploration mission. The EU-funded SESAME project aims to improve European launchers' manufacturing and operations through digital technologies, processes and methods. To that end, it will develop a complete data management framework to proactively deal with risks in new automated production and operations environments and enable the European launcher industry to produce data. The new capabilities will be evaluated in realistic operational scenarios. The framework aims at achieving significant cost reductions through improved production and operation effectiveness in safe working environments.
Objective
The project aims at improving European launchers’ manufacturing and operations through digital technologies, processes and methods.
Its objectives are
Develop a complete data management framework to proactively manage risks in new automated production and operations.
Develop new Predictive Maintenance and Quality components to implement new automated launcher production and operations
Implement new logistic processes that allow an optimal management of resources.
Evaluate the benefit of these new capabilities in realistic operational scenarios
Accompany the consequent transformation of human competencies, create new job profiles.
Evaluate other possible sectors for which the proposed predictive framework could be applied
Create an ecosystem involving the overall European Launcher Industry and possibly other sectors
SESAME will provide the European Launcher Industry with a framework allowing producing the data, a digital, open, intelligent, secure and standards based platform, and human in the loop processes enabling engineers and operators in launcher development, production, testing and operations to implement proactive risk management.
The framework aims at achiving cost reduction through improved production and operation effectiveness, reduction of Cost of Non-Quality, improved working environment and operator’s safety
Fields of science
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
Keywords
Programme(s)
Topic(s)
Funding Scheme
RIA - Research and Innovation actionCoordinator
78130 Les Mureaux
France