Discrete-Event Simulation

Optimize complex processes and distributed systems

Discrete-event simulation with SimEvents^® provides capabilities for analyzing and optimizing event-driven communication using hybrid system models, agent-based models, state charts, and process flows.  

Within this integrated modeling and data analysis environment, you can:

• Design distributed control systems, hardware architectures, and sensor and communication networks for aerospace, automotive, and electronics applications
• Model process flows, perform capacity planning, and optimize supply chains for manufacturing and operations
• Analyze and optimize end-to-end latencies, throughput, packet loss, and other performance characteristics of communication networks
• Customize queues, routing algorithms, processing delays, and prioritization schemes
• Simulate hybrid systems containing time-based, event-based, and agent-based components
• Simulate event-driven processes, such as mission plans with autonomous agents or the stages of a manufacturing process

Learn more about discrete event simulation solutions:

• Designing Distributed Systems
• Optimizing Process Flows and Logistics