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
Watch the videos in this MATLAB® Tech Talk series to learn the fundamentals behind discrete-event simulation.
Learn More About Discrete-Event Simulation solutions:
Discrete-Event Simulation Resources
- Understanding Discrete-Event Simulation - Video Series