SOURCE-LINKED INTELLIGENCE
Enhancing the interoperability of cyber-physical systems within their digital supply chains
oses significant challenges, including data silos, incompatible protocols, and disparate communication standards. Enriching the modeling of CPS along with the benefits of emerging systems such as AI (Artificial Intelligence) and IoT (Internet of Things) offers a promising avenue to address these challenges. By leveraging advanced modeling techniques and integrating cutting-edge technologies, we aim to develop robust solutions that enhance interoperability of CPS and streamline digital supply chain operations. Simulating interoperability scenarios that include CPS interaction within digital supply chains will provide valuable insights into the effectiveness and scalability of proposed solutions. Through rigorous validation exercises, we will assess the performance, reliability, and scalability of our approach, ensuring its practicality and suitability for real-world deployment. Digital supply chain, Interoperability, Cyber-physical systems, Emerging network technologies, Artificial intelligence, Internet of things
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- recordType
- award
- status
- SIGNED
- region
- EU
- value
- 242260.56
- unit
- EUR
Evidence & attribution
European Commission, CORDIS Horizon Europe project dataset. Metadata adapted.
License: CORDIS reuse policy
First collected: 2026-09-20T04:21:15.460Z. This is not the publication date.