Dairy Processing Decision-Support Model
Ridge model: R² = 0.859, MAE = €450.68
ProblemDairy plants decide daily what to produce from that day's milk, often on gut feel with no way to quantify the risk of getting it wrong.
SolutionA decision-support pipeline combining validated prediction, linear programming, and Monte Carlo risk simulation.
ImpactR² = 0.859 profit prediction, with the naive unvalidated alternative shown side-by-side to expose how misleading it would have been.
Process simulation
Naziru explains this step
Full conversation walkthrough
A complete, in-depth explanation of this project, turn by turn. Runs about 5 minutes if you let it play.
Ask a question about this work
Send Naziru a question directly, it's delivered straight to his inbox.
Commonly asked questions
Private, for the author only.
This section is password-protected.
Incorrect password.