bkp_duke
Well-Known Member
I am not an expert but it seems that the wait time for a car can be modeled using Queueing Theory. In my workplace we model the wait time for an expensive medical procedure using this methodology. When a resource (the factory or the medical equipment) is fully or nearly fully utilized, small changes in new demand (new patients or car orders) will dramatically increase wait times. There is a distribution of the rate of new arrivals (patient demand or new car orders). This distribution of demand will not allow you to utilize 100% of your capacity at all times without significant increase in wait times. Tesla of course could just make extra cars for export but a hospital cannot always find new patients during times that demand is slightly less than maximum. An increase in capacity to make cars will have an exponential impact on reducing wait times with constant demand. Bottom line is that Tesla’s significantly increased capacity should have non-linear impact on wait times with a constant demand distribution.
Sort of . . .
Tesla's algo is not a straight queue. It's more of a "priority queue", if you are talking in strict data structures. That means there are a lot of things that can cause one's position in the queue to change (geography being the biggest - but in the past it has even included things like "current Tesla car ownership").