Use Experimenter scenario function to find the optimal number of task executers

Question

question

Ka_hei_nicole L asked Mar 28 2022 at 6:21 AM Ryan Clark commented Apr 01 2022 at 6:23 PM

Use Experimenter scenario function to find the optimal number of task executers

Hi! I have created a FlexSim model with 5 AGVs and I would like to find the optimal number of task executors that maximise the throughput. How can I find the number by using experimenter scenario function?

Model_Mar28_Station1 (4 AGV).fsm

Software Version:

FlexSim 20.1.3

agv experimenter scenario

model-mar28-station1-4-agv.fsm (3.9 MiB)

· 5

Jeanette F ♦♦ commented · Mar 28 2022 at 9:16 PM

Hi @Ka_hei_nicole L,

It's hard to know how to help without looking at your model. To receive a more accurate solution, please post your model or a sample model that demonstrates your question.

Proprietary models can be posted as a private question visible only to FlexSim U.S. support staff. You can also contact your local FlexSim distributor for phone or email help.

0 ·

Ka_hei_nicole L Jeanette F ♦♦ commented · Mar 29 2022 at 4:18 AM

I have just attached my model, please check!

0 ·

Ryan Clark commented · Mar 28 2022 at 9:27 PM

This post provides a reference point for the purpose @Ka_hei_nicole L is trying to accomplish.

0 ·

Ka_hei_nicole L Ryan Clark commented · Mar 29 2022 at 4:19 AM

Thanks for your help, but my FlexSim version is not able to open the example in this post.

1 ·

Ryan Clark commented · Apr 01 2022 at 6:23 PM

Hi @Ka_hei_nicole L, was Felix Möhlmann's answer helpful? If so, please click the "Accept" button at the bottom of their answer. Or if you still have questions, add a comment and we'll continue the conversation.

If we haven't heard back from you within 3 business days we'll auto-accept an answer, but you can always unaccept and comment back to reopen your question.

0 ·

Answer 1 · 2022-03-29T07:36:04Z

Felix Möhlmann answered Mar 29 2022 at 7:36 AM

The AGV process flow contains a resource that controls how many AGV can be active.

To vary the number of AGVs between scenarios you bind the "Count" to a variable in the experimenter. The count is stored in a treenode under the following path: "Model/Tools/ProcessFlow/AGV/# AGVs>variables/refCount"

Then you can set the value of this node for each scenario.

In order for the inactive AGVs to not block the other ones, they should start at the parking locations. These then need a "NextLookForWork" connections so the process can start.

model-mar28-station1-4-agv_fm.fsm

1648539000952.png (14.4 KiB)

1648539219950.png (29.7 KiB)

1648539262179.png (15.9 KiB)

model-mar28-station1-4-agv-fm.fsm (4.0 MiB)

question