Supply chain simulation, AI and digital twins: from theory to use cases and implementation blueprints

This talk is devoted to outlining industry and academic developments in supply chain simulation and digital twins. We will discuss the digital supply chain twin concept and technology, the integration of simulation and AI, resilience, supply chain stress testing, and organizational blueprints. Practical implementations will be illustrated using anyLogistix supply chain simulation and optimization software. In particular, we discuss an intelligent digital twin (iDT) framework. New digital technologies and artificial intelligence are enabling novel approaches and tools, allowing us to move from isolated simulation models to intelligent decision-support systems. An iDT is a system that combines human intelligence with AI to create a digital representation of physical supply chains, use cognitive AI capabilities, and create new knowledge about the system through mutual feedback between human and artificial intelligence. The iDT collects and processes data, employs analytics, mimics human decision-making, and develops new knowledge and decision-making algorithms through human-AI collaboration.