Transportation problem!
Most of you know the transportation problem, which nowadays has an "easy" solution by means of many efficient algorithms.
Although the applications are not just limited to transportation itself what’s leading me to write about it it’s actually "transportation".
The Transportation Problem (as in PROBLEM!):
What’s up when from city A to city B you have 20 miles but from city B to city A you have 21?, or, what happens if when you’re coming back there’s a traffic jam or an accident?.
Surely it’s controlled in the first case, but would we making any gain introducing probabilistic transportation costs into the model or we would just be over the top adding up excesive computational costs vs. little benefits???.


