Digital Twins are rapidly emerging as a key enabler for Supply Chains, allowing organizations to move from static planning models to dynamic, data-driven, and predictive decision-making systems.
This session aims to explore how Digital Twin technologies can be designed, deployed, and exploited across supply chains to improve resilience, performance, and sustainability in an increasingly uncertain and interconnected world. It will bring together contributions from academia and industry addressing both methodological foundations and real-world applications. The session welcomes original research, industrial case studies, and conceptual frameworks related (but not limited) to:
Digital Twin architectures for end-to-end supply chains
Integration of Digital Twins with planning, scheduling, and control systems
Digital Twins for inventory control and flow improvement
Digital Twins for supply chain resilience, risk management, and disruption handling
Sustainability-oriented Digital Twins (carbon, energy, circularity, ESG)
Real-time monitoring and decision support using Digital Twins
Interoperability, scalability, and governance issues in supply chain Digital Twins
Lessons learned from industrial deployments and pilot projects
