... ways to mitigate risks. Webinar Agenda: Ripple effect in supply chains Two case-study-based simulations: Predicting the pandemic impacts Avoiding "disruption tails" at recovery time Insights into a pandemic setting Some future directions: Digital supply chain twins Viable Supply Chain Learn more about how modern techniques of predictive and prescriptive analytics, such as optimization and simulation modeling, are proving to be the only ways capable of dealing with uncertainties. Read our whitepaper about supply ...

... simulation can be used by supply chain decision-makers to predict the operational and long-term impacts of epidemic outbreaks and help to develop pandemic supply chain plans. To learn more, take a look at these materials: Managing Risks in Supply Chains with Digital Twins and Simulation [ Whitepaper ] Logistics Preparedness for Disaster Response [ Case study ] Supply Chain Risk Management [ Overview ]

... managers can combine optimization and simulation capabilities and take the following actions: Assess supply chain risks. Mitigate the risk of stock-outs and enable the provision of customer service levels. Diversify the supply chain network. Develop a digital twin. Read more:  Countering uncertainty with modeling and analytics . For more in-depth information about resilience watch the video below in which Prof. Dr. Dr. habil. Dmitry Ivanov provides an overview of technologies that help supply chain managers....

... research provides actionable insights aligned with the United Nations Sustainable Development Goals. Discover how simulation-driven strategies can enhance logistics efficiency and sustainability while paving the way for future integration of AI and digital twin technologies. Watch now to explore innovative solutions for smarter last-mile delivery! This presentation is part of the anyLogistix Conference 2025 – a unique demonstration of supply chain simulation and optimization from companies around the ...

... real-world case study focused on reducing transportation costs and improving operational scalability across 12 countries. From this video you will learn: How rising logistics costs in Turkey drove the need for a smarter, data-driven approach. How a “digital twin” of the network was built using anyLogistix. The key datasets powering the optimization—demand, production, vehicle types, product flows, and more. Real optimization results: reduced transportation costs, increased demand fulfillment, and investment ...