GRIPSS-X

The GRIPSS-X research project aims to develop an infrastructure that enables secure, sovereign data exchange and breaks down barriers to co-creation in value networks. A marketplace-like platform for industrial services based on GAIA-X Federated Services will be created to promote the development and execution of industrial product-service systems. This will implement the GAIA-X vision for the mechanical and plant engineering industry.

The challenge

Technological advances in recent decades have created a wide range of opportunities for companies to enter new markets and utilise value networks. However, new hurdles have emerged in business practice. In particular, the integration of modern technologies into existing product (service) systems, such as AI or blockchain, and the organisational structure of cross-company value creation, present industry with major challenges. The potential benefits of cross-company data and information flows are offset by concerns regarding data integrity, data sovereignty and the associated concerns about the outflow of company data and (IP-relevant) knowledge that is particularly worthy of protection.

Our service 

In the GRIPSS-X project, the consortium is supported by Fraunhofer ISST in two areas. On the one hand, the Gaia-X infrastructure and the associated components such as the EDC are implemented on the GRIPSS-X platform. Fraunhofer ISST helps to ensure the interoperability and security of the data infrastructures to enable data exchange between different companies. This support is crucial to ensure a smooth flow of information and to exploit the full potential of data-driven business models.

The result 

In the joint project, a platform for the co-creation of industrial services is being developed on the basis of GAIA-X Federated Services. The consortium partners cover the entire value chain for maintenance-related services – from the customer to the specialised (IT) service provider. This enables the development of prototypes for object-related and data-driven (AI) services as well as the analysis of interface problems. In iterative cycles, the infrastructure is continuously evaluated for innovation effects, benefits for networks and transformation guidelines.

Partners 

• TU Dortmund – Chair of Enterprise Logistics (LFO)
• Fraunhofer Institute for Material Flow and Logistics IML
• Adesso SE
• Weber Rohrleitungsbau
• Wagner GmbH
• WELDOTHERM Gesellschaft für Wärmetechnik m.b.H.
• Weldotherm Wärmetechnischer Dienst GmbH
• iits-consulting
• Hahn Projects GmbH

Funding

• Sponsor: German Federal Ministry of Education and Research (BMBF)
• Funding reference: 02J21D100
• Duration: 01/11/2022 – 31/12/2024