MATLAB SIMEVENTS RELEASE NOTES Betriebsanweisung PDF herunterladen (Seite 46)

2 Building Simple Models with SimEvents Software

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Double-click the FIFO Queue block to open its dialog box. Click the Statistics tab,

set the Average wait parameter to On, and click OK. This causes the block to have

a signal output port for the signal representing the average duration that entities

wait in the queue. The port label is w.

Double-click the Single Server block to open its dialog box. Click the Statistics tab,

set both the Average wait and Utilization parameters to On, and click OK. This

causes the block to have a signal output port labeled w for the signal representing

the average duration that entities wait in the server, and a signal output port

labeled util for the signal representing the proportion of time that the server spends

storing an entity.

Copy the Signal Scope1 block and paste it into the model window.

Note: If you modified the plot corresponding to the Signal Scope1 block, then one

or more parameters in its dialog box might be different from the default values.

Copying a block also copies parameter values.

Double-click the new copy to open its dialog box.

Set Plot type to Continuous and click OK. For summary statistics like average

waiting time and utilization, a continuous-style plot is more appropriate than a

stairstep plot. Note that the Continuous option refers to the appearance of the plot

and does not change the signal itself to make it continuous-time.

Copy the Signal Scope2 block that you just modified and paste it into the model

window twice. You now have five scope blocks.

Each copy assumes a unique name. If you want to make the model and plots easier

to read, you can click the names underneath each scope block and rename the block

to use a descriptive name like Queue Waiting Time, for example.

Connect the util signal output port and the two w signal output ports to the in

signal input ports of the unconnected scope blocks by dragging the mouse pointer

from port to port. The model now looks like the following figure. Save the model.

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MATLAB SIMEVENTS RELEASE NOTES Betriebsanweisung Seite 46