Documentation

Statistics and Data Analysis

Count entities, work withSequence Viewerblock

Most SimEvents®blocks can output statistics that let you monitor aggregate measures, such as average service times, queue lengths, and server utilization. Visualize statistics to understand block behavior, and to count entities. Use the values gathered from statistics to control entity intergeneration times.

Use theSequence Viewerblock to see the interchange of messages, events, and functions during simulation. The block allows you to visualize the movement of entities between blocks.

Blocks

Sequence Viewer Display messages, events, states, transitions, and functions between blocks during simulation

Topics

Interpret SimEvents Models Using Statistical Analysis

Output statistics for data analysis and run-time control.

Count Entities

Using statistics, you can count entities across the simulation and per time instant.

Count Simultaneous Departures from a Server

计算同时出发s of entities from a server.

Noncumulative Counting of Entities

Noncumulative counting of entities arriving to theEntity Terminatorblock.

Adjust Entity Generation Times Through Feedback

This example shows a queuing system in which feedback influences the arrival rate.

Use the Sequence Viewer Block to Visualize Messages, Events, and Entities

View the interchange of messages, events, and functions through theSequence Viewerblock.

Save SimEvents Simulation Operating Point

Save the simulation state and use it as an initial state for future simulations.

Optimize SimEvents Models by Running Multiple Simulations

UseSimulink.SimulationInputobject to create simulation sets to test the results and to perform model optimization.

Featured Examples

Optimization of Shared Resources in a Batch Production Process

Optimization of Shared Resources in a Batch Production Process

Model and optimize the use of shared resources in a system, to identify resource deficiencies and improve capacity planning. The example is based on a batch production process, where production orders are processed only according to the availability of batch reactors. In the example, SimEvents® entities represent both the production orders of the manufacturing process, and the batch reactors that are required to process them. Later in the example, we will find the optimal resource capacities of the system by applying the Genetic Algorithm solver of MATLAB Global Optimization Toolbox.
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