Get Started with SimEvents

Tutorials

• Discrete-Event Simulation in Simulink Models
  

  SimEvents software incorporates discrete-event system modeling into the Simulink^® time-based framework.

• Create a Discrete-Event Model
  

  Build an event-based model using the SimEvents block library.

• Explore Statistics and Visualize Simulation Results
  

  Access statistics through SimEvents blocks, examine, and experiment with behavior of the D/D/1 queuing example model, visualize, and animate simulations.

• Manage Entities Using Event Actions
  

  Specify random intergeneration times for entities, manage entities with event actions in a queuing system.

• Trigger Simulink Components with Discrete Events in SimEvents
  

  This example shows how to use Simulink Function blocks to timestamp entities, pass entity attributes to Simulink® components, and create notification events for routing.

• Create a Hybrid Model with Time-Based and Event-Based Components
  

  Simulate a hybrid system that has SimEvents and Simulink parts.

About Discrete-Event Simulation

• Entities in a SimEvents Model
  

  Learn how entities fit into the modeling process.

• Events and Event Actions
  

  Learn the basics of events and event actions in SimEvents.

Featured Examples

Generating and Initializing Entities

Different ways to generate and initialize entities and their attribute values.

• Open Model

M/M/1 Queuing System

Model a single-queue single-server system with a single traffic source and an infinite storage capacity. In the notation, the M stands for Markovian; M/M/1 means that the system has a Poisson arrival process, an exponential service time distribution, and one server. Queuing theory provides exact theoretical results for some performance measures of an M/M/1 queuing system and this model makes it easy to compare empirical results with the corresponding theoretical results.

• Open Model

Comparing Queuing Strategies

Have you ever been in a supermarket checkout and wondered why you are in the slowest line? This example shows how queuing systems can be modeled in SimEvents for this type of application. Two parallel versions of a simple model of a four register supermarket counter are presented - one that uses four separate queues and one with a single "serpentine" queue that feeds all registers.

• Open Model

Modeling Hybrid Systems - Tank Filling

A hybrid system with both continuous time and discrete event sections. The discrete event part models tanks, represented by entities, which are being queued and need to be filled up. Each tank has a "Capacity" attribute. The continuous time part models the process of filling up a tank, modeled by an Integrator. When a tank is filled to capacity, this event can be detected by a Hit Crossing block, which will generate a message corresponding to this event. The generated message will trigger the server to release the tank.

• Open Model

Distributing Multi-Class Jobs to Service Stations

Model a central resource that manages distributed processing according to an explicit formula. The example describes a distribution center that manages a series of processes that each job undergoes, with each job carrying information about the series of processes that it must undergo. One of the applications where this could be useful is when you want to model a central dispatcher that routes calls from one call processing station to another.

• Open Model

Modeling Message Communication Patterns with SimEvents

Create common communication patterns using SimEvents®. In message-based communication models, you can use SimEvents® to model and simulate middleware, and investigate the effects of communication and the environment on your distributed architecture.

• Open Script

Videos

Understanding Discrete-Event Simulation, Part1: What is Discrete-Event Simulation?
Learn the basics of discrete-event simulation, and explore how you can use it to build a process model in this MATLAB^® Tech Talk by Will Campbell.

SimEvents for Model-Based Design
Add system simulation or environment modeling to your algorithm modeling and graphical programming using SimEvents.

SimEvents for Operations Research
Model, analyze, and optimize various operational processes using SimEvents.