The issue with the experimenter settings.

Question

question

liam asked Aug 13 2024 at 3:16 AM Logan Gold commented Aug 29 2024 at 2:16 PM

The issue with the experimenter settings.

Hi,

I have some questions regarding the experimenter. In my model, there is a MultiProcessor with five subprocesses, and I have set the standard deviation of the processing time for each subprocess as variables (aaa, bbb, ccc, ddd, eee). These variables range from 0 to 1 to represent the proportion of variation.

In Scenario 1 of the experimenter, I set all five variables to 0, indicating that there should be no variation in the processing time for these subprocesses.

However, the experimental results show that when I set the replications per scenario to 20, there is still variation in the processing time.

I would appreciate your guidance on how to resolve this issue. Thank you very much for your assistance.

fifo.fsm

Software Version:

FlexSim 22.2.0

variable processortime experimentor

1723518566923.png (27.3 KiB)

1723518583317.png (23.4 KiB)

1723518633727.png (23.9 KiB)

1723518675418.png (42.0 KiB)

1723518693136.png (40.9 KiB)

fifo.fsm (1.7 MiB)

· 2

______

Cookie preferences

Your privacy is important to us and so is an optimal experience. To help us customize information and build applications, we collect data about your use of this site.

May we collect and use your data?

Learn more about the Third Party Services we use and our Privacy Statement.

Strictly necessary – required for our site to work and to provide services to you

These cookies allow us to record your preferences or login information, respond to your requests or fulfill items in your shopping cart.

YES

Improve your experience – allows us to show you what is relevant to you

These cookies enable us to provide enhanced functionality and personalization. They may be set by us or by third party providers whose services we use to deliver information and experiences tailored to you. If you do not allow these cookies, some or all of these services may not be available for you.

YES

NO

Customize your advertising – permits us to offer targeted advertising to you

These cookies collect data about you based on your activities and interests in order to show you relevant ads and to track effectiveness. By collecting this data, the ads you see will be more tailored to your interests. If you do not allow these cookies, you will experience less targeted advertising.

YES

NO

Are you sure you want a less customized experience?

We can access your data only if you select "yes" for the categories on the previous screen. This lets us tailor our marketing so that it's more relevant for you. You can change your settings at any time by visiting our privacy statement

Your experience. Your choice.

We care about your privacy. The data we collect helps us understand how you use our products, what information you might be interested in, and what we can improve to make your engagement with Autodesk more rewarding.

May we collect and use your data to tailor your experience?

Explore the benefits of a customized experience by managing your privacy settings for this site or visit our Privacy Statement to learn more about your options.

Answer 1 · 2024-08-22T06:08:50Z

Felix Möhlmann answered Aug 22 2024 at 6:08 AM

The parameters currently don't do anything. You have to add code to their On Set trigger that actually sets the global variables' value.

That being said, you don't really need the global variables. You can just use the parameters directly in the process time code.

Model.parameters.aaa*Table("DIP_order")[item.Order_ID][7]

I would also like to add that using the mean value as the standard deviation in a normal distribution will regularly give you a processing time of 0, which doesn't seem realistic. Maybe a different distribution (for example triangular) is better suited.

question