15 Jul 19
A visualization based on real stock market data from Nasdaq
Solutions
Simudyne SDK
Simudyne SDK is an advanced agent-based modeling platform that enables organizations to simulate complex systems with high fidelity, facilitating informed decision-making and strategic planning.
Solution
The Simudyne SDK is a powerful Java-based simulation engine designed to model intricate, real-world systems through agent-based modeling (ABM). Utilizing a graph-based computational approach, it efficiently simulates millions of agents, capturing the nuanced behaviors and interactions within complex networks. This capability allows organizations to explore various scenarios, assess potential outcomes, and develop robust strategies.
Notably, Amazon leveraged the Simudyne SDK to simulate its entire U.S. inbound supply chain, encompassing the movement of hundreds of millions of products. By representing each component—such as warehouses and delivery vehicles—as distinct agents, Amazon achieved a high-fidelity model of its supply chain operations. This simulation provided valuable insights into cost reduction, service improvement, and environmental impact, demonstrating the SDK’s capacity to handle large-scale, complex systems.
Similarly, Moody’s collaborated with Simudyne and AWS to harness the power of agent-based models for mitigating supply chain risks and managing costs. This partnership enabled organizations to model their supply networks in detail, run sophisticated simulations of potential disruptions, and identify vulnerabilities. The integration of the Simudyne SDK with AWS services provided a robust and efficient platform for conducting complex supply chain simulations, empowering businesses with valuable insights to drive informed decision-making.
The SDK’s flexibility extends to various domains, including financial services, where it can model scenarios such as agent-based fraud detection, credit risk assessment, and contagion risk analysis. Its seamless integration with cloud platforms like AWS ensures scalability and accessibility, allowing organizations to deploy simulations efficiently and securely.
01
High-Fidelity Simulation Engine
Leverage Simudyne’s graph-based computational approach to model complex systems with millions of interacting agents, providing deep insights into system dynamics.
02
Proven Industry Applications
Trusted by industry leaders like Amazon and Moody’s, the Simudyne SDK has been instrumental in optimizing supply chains and managing financial risks through detailed simulations.
03
Seamless Cloud Integration
Deploy simulations effortlessly on cloud platforms such as AWS, ensuring scalability, security, and efficient resource utilization.
04
Versatile Modeling Capabilities
From supply chain logistics to financial risk assessment, the Simudyne SDK offers adaptable tools to simulate and analyze a wide range of complex scenarios.
Agent-based modelling with Simudyne SDK
Latest SDK resources
“
We are delighted to be using Simudyne’s toolkit as part of our ongoing efforts to improve the ways in which Barclays identifies and manages risk. By building agent-based models we hope to spot and prepare for risks arising from dynamic and large, direct and contingent, counter-party exposures. This helps create a more robust and stable bank for our customers, clients and shareholders ”
CS Venkatakrishnan
Group Chief Risk Officer at Barclays Bank.
Group Chief Risk Officer at Barclays Bank.