Simulate and analyze supply chain disruptions, bottlenecks, and resilience using advanced digital twin models.
Sponsored
This tool provides a powerful MCP server designed to create comprehensive digital twins of supply chains. It enables users to conduct in-depth analyses, including simulating disruption cascades, identifying bottlenecks, evaluating alternative sourcing strategies, and scoring overall supply chain resilience. Through a suite of sophisticated analytical tools, it allows for proactive management and optimization of complex logistics networks, ensuring business continuity and strategic planning.
Key Features
01Optimize logistics transport via semi-discrete optimal transport theory
02Reinforce network resilience by maximizing algebraic connectivity
03Model adversarial supply chain interdiction as a tri-level Stackelberg game
04Simulate disruption cascades using percolation theory
050 GitHub stars
06Estimate supplier survival using competing risks Cox model
Use Cases
01Disruption simulation and risk assessment
02Bottleneck identification and mitigation planning
03Alternative sourcing analysis and strategic planning
