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11-03-2016 11:50 AM

Hi all,

I'm looking to use a monte carlo distribution on the number of workers per workstation. Currently I have multiple workers working at a single workstation. The data collected is a small sample size (we have a reasonable idea of the worst case scenario and best case scenario) so I was looking for a way to weight what is the most likely number of workers vs what can actually happen. I know the Monte Carlo distribution is a way to randomly generate a lot of points quickly, however, I do not know if Plant Sim has this sort of distribution or another way to model this. Any thoughts would be appreciated!

Thanks

3 REPLIES

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11-04-2016 12:34 PM

Hello Csadler,

if you need a random integer you can use the following SimTalk code in Plant Simulation 13:

`var n:integer := z_uniform(1,1,11)`

You will receive a number from 1 to 10.

Plant Simulation 12

`local n:integer := z_uniform(1,1,11)`

If you have observed numbers with frequencies you can use the Primitive Empirical distribution.

Please look at the documentation (index z_emp).

If you can describe your problem more precisely, we can possibly offer a solution without programming.

Regards,

Peter

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11-04-2016 02:59 PM

Hi Peter,

Thanks for the response. So in the current state a part takes a couple weeks to be processed, completed, and on to the next workstation. The number of workers also varies day by day over those weeks. Typically a bell curve of workers over that span (start with a couple workers then by the middle of the process there's about 20 workers working and then at the end back down to a couple workers). Is there any part of plant simulation that accounts for a variability of workers of a processing time or even a way to code this?

For example, a part would be worked on for 4 weeks. The first week they have 4 workers, second week they have 8 workers, third week they have 9 workers, and fourth week they would have 5 workers. This is all completed at the same workstation. Is there a way to model this flucuation of workers?

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11-08-2016 04:06 AM

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