Resilience is increasingly critical in modern manufacturing, especially within complex supply chains. Information sharing based on data sovereignty principles enables informed, timely decisions, improving supply chain resilience. Data space technologies, like International Data Spaces (IDS) and Gaia-X, support secure, multi-stakeholder data sharing. This work integrates IDS and Gaia-X data spaces into a data spaces framework for resilience (DSF4R). The framework facilitates secure data exchange using a compute on demand environment, ensuring data remains secure within the provider’s system while enabling external services to process it. This eliminates the need for data transfer, ensuring privacy and compliance. Applied in a real-world industrial use case from the steel industry sector, it demonstrates enhanced resilience and broader applicability.

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Resilient Manufacturing Through Data Spaces: Leveraging IDS and Gaia-X in a Compute-on-Demand Environment

  • Emmanouil Bakopoulos,
  • Konstantinos Sipsas,
  • Kosmas Alexopoulos

摘要

Resilience is increasingly critical in modern manufacturing, especially within complex supply chains. Information sharing based on data sovereignty principles enables informed, timely decisions, improving supply chain resilience. Data space technologies, like International Data Spaces (IDS) and Gaia-X, support secure, multi-stakeholder data sharing. This work integrates IDS and Gaia-X data spaces into a data spaces framework for resilience (DSF4R). The framework facilitates secure data exchange using a compute on demand environment, ensuring data remains secure within the provider’s system while enabling external services to process it. This eliminates the need for data transfer, ensuring privacy and compliance. Applied in a real-world industrial use case from the steel industry sector, it demonstrates enhanced resilience and broader applicability.