Hi Jay,
thanks for your fast response.
I simplified my problem a little bit - maybe too much.
So, here is the initial situation: I have a rural area with 600000 people in about 1000 villages and about 4 small cities. The road network has about 3000 km. My subject is to expand the existing charging station infrastructure for electric vehicles (17 sites). So I calculated from the population and tourist stays of each demand point the expected demand for charging per day (this is still a long-shot guess). As layer for potential facilities I take either the same 1000 villages or 15000 neighborhoods. For these I want to calculate different expansion stages (50, 100, 200 charging stations). Therefore I need a kind of capacity limitation, because otherwise one station supplies the demand of 100000 persons and another one only for 50.
Th description of the python script you suggested sounds good, but even when I reduce the amount of demand points and facilities it cancelling the calculation because of memory shortage. I am not sure if the tool uses a heuristical approach like the location-allocation tools in the NA.
Do you have another idea?
Best regards, Felix