Use cases
Planning problems as they turn up in a business, with the model in code and the output it prints. Each one also has a business page that tells the same story without the code.
Python notebook
Warehouse planning when the market turns
A safety margin against planning with the forecast error, on 20 generated networks. A MILP baseline on HiGHS and the stochastic model on Quicopt.
Python and Julia
Inventory on a shared shelf
Eight products, individual demand distributions and one 1020-unit shelf: an expected shortage cost over 500 scenarios, written as you would write it in code.
Python notebook
Internet shopping
An anonymised production instance from Milplib, modeled and solved step by step.
Java
Vehicle routing in Java
The routing case study’s model with the Java client: rules, measures, solve and output.