Route Optimization In Python - Starbucks Example & Simulation

The Vehicle Routing Problem (VRP) lies at the heart of optimizing transportation routes. In this tutortial we will use python for determining the optimal set of routes for a fleet of vehicles to serve a given set of customers, we can minimize total costs or distances traveled .

Python code can be found on my GitHub in the following link:

#supplychain #supplychainoptimization #datascience #ai #machinelearning #routeoptimization #TSP #python #ortools #netwrokx

[GeoffreyDeSmet]

You might also want give timefold a try. It's another open source library for route optimization. There's a quickstart for vehicle routing in Python.

[alonsogomez]

thank you for the video and explanation, it was very usefull and i learned a lot, but i do have some questions, on 13:47 how could i make sure that the KM traveled are accurrate, because it does not seem that way, 7km seem way less than the actual distance traveled, i tried to measure the distance but failed to do so, how can we be certain?

[SnehSagar-cq]

How can I dynamically change the color of traversed nodes to green once they are visited by the delivery truck?
I think that would be more interesting.

[mahmoudramadan]

Great 👍
How i can add another variable like cbm and weight for the goods