I have 3 product types coming off the previous line (which for this simulation is just a source). Each product type will have it's own distribution for arrival time. The line before it can only make one product at a time and I want to set up the percentage of each of the 3 product types in a global table or empirical distribution. I can't come up with how to change the arrival time in the source based on the percentage of each product. Any suggestions would be appreciated.
I thought about that, but if I use 3 sources how would I get the arrival time of each to not start until the previous source is done.
For example:
Product 1 takes about 30 sec to make and accounts for 50% of production
product 2 takes about 2 min to make and accounts for 30% of production
product 3 takes about 5 min to make and accounts for 20% of production
If I use 3 sources, all 3 timers will be running all the time. I need to line up the start of the next product timer with the end of the previously created item. Maybe use 3 event based sources somehow?
Would choosing by percentage and then setting the statistical distribution (like the picture below) not work for your model?
Maybe you could create one token, that feeds to a decide that splits into 3 options by percent, and then use a delay to simulate the processing time. That seems like it would be the best of both worlds
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