My model has the following configuration. I want groups of forklifts, when a queue in which they transport products is larger, two will work and only one will work in the smaller ones, but if the queue decreases, everyone will work for equity and equality, dispatching the products. faster. eliminate the bottleneck as much as possible
I understand it but since there are two storages it must be structured that way now how to achieve the objective based on my initial question
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Hi @Kevin S7,
Here is a model that demonstrates a more balanced pulling method for the operators.
I added a label to the initial queues called NumOps. This is used to calculate how many operators are currently pulling items from that queue. In the List "ItemList1" I then added that label as an expression field, this allows me to see that information when the operators are looking through the list to find an item to acquire.
The final thing is that I used a query for the operators pull from list activity. WHERE NumOps < 2 ORDER BY queueSize DESC. This query looks for a queue that has less than 2 operators currently working at it, and then finds the queue with the most items in it and pulls the first available item from that queue. The operator loop also uses a couple of assign labels activities to modify the NumOps labels on the queues.
I understand but in my model it is different since it is carrying out two loads of products at the same time and must maintain a balance between taking them to the conveyor belt and removing those products to the racks.
Is there some other specification you need?
This is an updated model that is more in line with what it seems you are trying to do. It keeps all of the queues roughly balanced in content. The issue with this model as well as your own is that the queues will only ever continue to increase in content because there is no end to items entering the system.
I understand but now if I wanted to give priority to Queue6, releasing the products faster, that is, Queue6 to R1 and R2
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