Agentic digital twins: bridging model-based and AI-driven decision-making support for a new era of supply chain and operations management

Agentic AI (artificial intelligence) can profoundly impact model-based decision-making support. This paper conceptualises the notion of agentic supply chain digital twins (A-SCDT) triangulating the composition of agentic AI, digital twins, and model-based optimisation and simulation. Our contribution is twofold. First, we conceptualise the A-SCDT as a distinct and novel area of practical and theoretical importance. Second, we offer a framework named ICARUS (Interaction, Creativity, Adaptation, Reasoning, Ubiquity, and Synchronization), which allows to structure and systematically consider the A-SCDT impacts on future developments of model-based methods in the era of agentic AI systems. Grounding into the…

• EC
  European Commission
• DF
  Deutsche Forschungsgemeinschaft
• HE
  HORIZON EUROPE Framework Programme

  Award: 101138269
• PF
  Partnership for Research and Innovation in the Mediterranean Area