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MANUFACTURING-AS-A-SERVICE FRAMEWORK EXPLOITING DECENTRALIZED SECURE DATA EXCHANGE PROMOTING SUSTAINABILITY AND CIRCULARITY

Project description

Framework improving manufacturer collaboration

The rising costs of machinery, increasingly larger specialised machines, supply and transport expenses and material scarcity have created a need for enhanced interconnectedness and collaboration in industrial sectors. The EU-funded MEDUSA project aims to develop an innovative, secure-by-design framework using the manufacturing-as-a-service (MaaS) paradigm. This framework will establish digital connections and collaboration between companies, enabling secure data exchange and access to cutting-edge tools to promote sustainability and efficiency. Additionally, improved access to marketplaces will allow manufacturers to share resources and optimise production efforts, while the integration of automation and AI-based tools will enhance monitoring and tracking for users.

Objective

The project's main objective is to develop a highly innovative, secure-by-design framework that fully exploits the MaaS paradigm. This framework will offer secure data exchange between companies and cutting-edge tools to enhance production efficiency and sustainability. The MEDUSA framework will establish a seamless connection between existing marketplaces, facilitating optimized production by leveraging users' machinery and shared resources from other manufacturers. All resources will be treated as part of a distributed Cyber-Physical System of Systems (CPSoS), maximizing production. The implementation of an automation layer will enable the exchange of real-time production data and asset monitoring, allowing for the tracing and optimization of the product life cycle. The framework will also support the implementation of a DPP and provide AI-based tools for manufacturers to support decision-making for production planning, remanufacturing, and machine reconfiguration, always being energy-aware.

Fields of science

CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.

Coordinator

SPINDOX LABS SRL
Net EU contribution
€ 340 203,80
Address
VIA ALLA CASCATA 56/C
38123 Trento
Italy

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Region
Nord-Est Provincia Autonoma di Trento Trento
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
Links
Total cost
No data

Participants (17)