| Timefold | https://timefold.ai |
| GitHub | https://github.com/ge0ffrey |
| https://twitter.com/GeoffreyDeSmet | |
| https://www.linkedin.com/in/ge0ffrey/ |
Vehicle Routing Problems are difficult to solve,
especially at scale with real-world constraints.
Both for humans and software.
In this video, I explain why VRPs are challenging,
what technology solutions exist
and how you can solve them easily in practice.
Our new API for Pickup and Delivery Routing is out!
It optimizes in-route pickup and delivery of people or packages.
Such as
- Non-emergency medical transport to bring patients to the hospital
- School bus optimization
- Food delivery
- Parcel delivery
"Why can't you just have ChatGPT generate a schedule for you?"
In this podcast, Mackenzie Jackson and I didn't just drink sake, we also covered complex scheduling and routing with AI and founding a company.
Watch it here:
https://www.youtube.com/watch?v=58CM0Zr4O_E&t=2020s
An Open Source project needs a real-time chat for the community to come together.
So we created a Discord chat for Timefold Solerv.
To ask questions.
To discuss ideas.
Or to figure out how to hack the solver to run your crazy experiment.
Join us:
https://discord.gg/976RcEVVHW
In the Optimization4All podcast, Cristina Radu and I talked about Operations Research, starting a company and Timefold.
Watch the podcast:
https://www.youtube.com/watch?v=rrLby4O5mA0
If it takes 10 000 hours to master a craft,
what do you get for 10 000 commits?
Timefold Solver, our Open Source solver for complex scheduling and routing problems, just reached 10 000 commits on GitHub:
https://github.com/TimefoldAI/timefold-solver
Can the optimal solution for a Traveling Salesman Problem (TSP) have crossing paths?
No, it cannot.
Because of the Triangle Inequality principle.
But in reality, it can.
Because there's road infrastructure: highways, one-way streets, etc.
In the real-world, solution optimality is rarely obvious.
A great plan is worthless if you can't explain why.
For the operators to trust your software, they need more than a button to "Schedule with AI" that generates the optimized schedule for their employees.
They need explainability. Learn how:
https://timefold.ai/blog/explainable-ai-how-to-build-trust-in-optimization
