In my model there is currently 2 type of item which is LPT and HPC. Currently, both item is batch up to 300 of its bladeqty label. How do I make it so that if the item is LPT it will batch up to 300 bladeqty and 600 for HPC items. And after the model is running after a while it seems to stop working but the model time is still going.
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The A* navigator enters an infinite rerouting loop at some point. Adding the processor at this location to the navigator so the operators can't go next to it prevented this in a testrun I did.
To differentiate between items, the difference should ideally be separate values for the same label, not the existance of different label names. So something like a "Type" label whose value is either "LPT" or "HPC".
You can then group the items by that label as well and set the quantity depending on the label.
When writing an array into the "Group By" field, the program will show an error message that this is not valid. You can ignore that though.
I did a little tweaking to the model but is seems to stop the model after certain time.
and also, is there a way for me to make a timetable to predefine what program will be running at what time for [SYSTHERM, SCHMETZ1, SCHMETZ2 and SCHMETZ3]. For example, at 2/3/2024, 9.00am to 10.00am SYSTHERM will run VHT program 12. Right now, the processor is running at its own accord, so is there a way for me to make it predefine so it will follow which program to run at what time.
Preventing deadlocks in a A* system with narrow, heavily frequented areas is not trivial. You can try to decrease the grid spacing so the operators have more options for possible paths.
Or you lay down mandatory paths in problematic areas to enforce a one-way system so there is no problem with oncoming traffic.
It's not 100% clear what a "program" is supposed to be here. I'd assume its a schedule that details what type of item a machine should work on at a given time. You can build this with lists. A source would create tokens that hold the information about the program at the respective times. The token then first acquires the machine to reserve it, then pulls the needed quantities of items from a list and runs the subflow that already exists in the model to release them to the processor.
You might need additional labels that store information about what kind of queue the items are in, so that the tokens can pull from the correct locations.
Here's a rough mockup of what the Process Flow could look like:
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