A management system is provided having a digital twin layer, data integration layer, artificial intelligence (AI) and cognitive processing layer, and an extensibility and customization layer, operatively coupled with processing circuitry and memory. The system generates a virtual representation of a network with hubs and endpoints connected electronically, simulates the impact of external factors, and collects and processes real-time data from multiple sources to continuously update simulations. Machine learning algorithms are applied to generate predictive models, enabling users to adjust parameters and test alternative supply chain configurations. The system evaluates the impact of these configurations on performance metrics and provides optimization recommendations, enhancing decision-making and operational efficiency in supply chain networks.