Supply Chain Risk Management, Resilience and Security

In SYRI we develop a data-driven simulation methodology to locally quantify actual food supply losses for the population that result from the cascading of supply disruptions. The methodology is immediately policy relevant as a fact-driven and generalizable crisis management tool.

The aim of the SSCCS project is to ensure the resilience of supply chains to cyber attacks. This is done in a structured, interdisciplinary approach based on real use cases and takes into account both highly integrated SCs and such low organizational levels.

Closely coordinated and optimised processes make the transport and logistics sector highly susceptible to disruptions of any kind, whether short-term or long-term. Data in particular can help companies to react to these and thus be considered resilient. A solution for this is offered by a concept developed in the project of a "logistics and resilience data circle" for external data exchange.

The DataSChare project aims to identify and concretise industrial supply chain data spaces to increase knowledge about data spaces in the supply chain. This will be achieved through a multi-level methodological approach based on qualitative (workshops, interviews, stakeholder analysis) as well as quantitative (online surveys) methods.

The aim of the CySeReS SME research project is to support small and medium-sized enterprises in IT security, cyber security and resilience with a focus on the supply chain. The needs of the participating SMEs will be surveyed and analysed, on the basis of which a best practice guide and a maturity model will be developed. In the future, this will also be able to support SMEs outside the project.