Setting max speed of taskexecutioners between a normal distribution?

[edu_perez]

[ FlexSim 24.1.0 ]

Hi, I'm working on a class project and I was wondering if there was any way of make the speed of a task executioner or a group of them being set by a normal or binomial distribution, for example: between 4-7 speed each time I run the model:

This is my model: Cross-Docking-Case1-Processflow v6.1.fsm

[moehlmann_fe · Accepted solution]

If all TEs should have the same max speed, then setting it in the On Model Reset (Toolbox -> Modeling Logic -> Model Trigger) might make sense.

If they should have individual values use their own On Reset triggers.

Note that while "Repeat Random Streams" is active you will always get the same value while running the model live. Experimenter replications will have different values.

I would advice to store the value(s) somewhere so you can know which value was used when using the experimenter. It could for example be a performance measure.

cross-docking-case1-processflow-v61-fm.fsm

[edu_perez]

In my scenario, I'll need them to have individual different speeds so the own trigger will be the option then.

How would you suggest me to store this value when is triggered individually? It's just what I needed, is it possible to track it as it is in you're solution?

[moehlmann_fe]

Since a table view is probably nicer than a bunch of performance measures, I'd have a Statistics Collector read the values on simulation start.

cross-docking-case1-processflow-v61-fm_1.fsm

[edu_perez]

Is it possible to store the higher value observed in the "Entrada Mercancía por proveedor" dashboard in the "duracion" column?

[edu_perez]

That helped me a lot, thank you Felix!

[moehlmann_fe]

You mean as a single value? Sure, it's a simple query of the statistics collector table.

cross-docking-case1-processflow-v61-fm_2.fsm

[edu_perez]

Actually I mean as a new static collector to display it on a simple dashboard or publishing it on the performance measures to display it when running the experimenter option.

[moehlmann_fe]

I did implement it as a performance measure in the latest attached model. If you want to show it in a dashboard, use a Calculated Table with the same query.