Let's scientifically discuss logistics.
What math/algorithms are used? How do they predict arrival times? What do they do to handle fluctuations in demand (Amazon easily gets 10x normal orders around Christmas)?
how can you predict when you land at airport XX although you've changed flights 5 times?
>scientifically discuss logistics
>scientifically discuss
>scientifically
honestly there are just factories of people that sort shit for trucks 3-4 times a day, and then a preload in most places, some nodes along the way are automated, some are post air mail, the point is each mode of transportation is a puzzle piece with a logical numeric value, and useing all of your pieces you
A. Have a computer plot out the best possible route( UPS implemented this for small brown trucks), and international node transfers alike.
B. You operate in a more domestic capacity, and have each mail truck play zone defense on the mailboxes.
>>7652344
Also theres a fucking ton of auto scans along the way so your logistics division can just mainline data livefeed, generate a plan of action based on the past, and future trends.
>>7652293
Le statistical data from le past.
You can expect the time to get from A to B at 2pm on a wednesday will have a narrow enough normal distribution to predict it with enough accuracy.
Statistics my m8
>>7652344
>honestly there are just factories of people that sort shit for trucks 3-4 times a day
Least we're not those fuckers over in ONT2.
>>7652360
Is it normal though? If it is late, won't it miss a flight and thus the events aren't independent?
>>7652366
if you have 15,000 flights from place A land at 10am land at place B at ~2pm, you say it will happen at 2pm even if 50 or 100 samples are much later e.g. between 3 and 10 pm
chances are they just discard the outliers, especially if it's for non-logistics reasons e.g. air traffic diverted or grounded for the day for X reason (presidential visit, terror attack, whatever)
>>7652293
newsvendor model
economic ordering quantity
poisson loss functions
normal distributions
knapsack problem
MC=MR
I assume that they have a huge list that gives every station a distinct number.
The algorithm compares the current station number with target sation number and if they are not the same it determines a random station where it is sent to.
>>7652870
So a random walk on a graph?