Code
Optimizing Last-Mile Delivery for a Lisbon Grocery Startup
Overview
What this challenge is about.
Your task is to build a linear programming model (or heuristic) to assign orders to vehicles and sequence deliveries. Success means reducing average route length by at least 15% while maintaining 95% on-time delivery. You have access to historical order data (locations, time windows, volumes) and vehicle specs. Deliver a model formulation, a Python implementation using PuLP or OR-Tools, and a sensitivity analysis on fleet size.
The Brief
What you'll do, and what you'll demonstrate.
Minimize total delivery distance for a fleet of electric vans subject to time windows, vehicle capacity, and driver shift constraints.
Earning criteria — what you'll demonstrate
- Formulate a real-world logistics problem as a linear/integer program
- Implement and solve optimization models using Python libraries
- Analyze trade-offs between cost and service level
- Communicate analytical results to non-technical stakeholders
Program Fit
Where this fits in your program.
Sharpens the same skills your degree expects you to demonstrate.
Skills
Skills you'll demonstrate.
Each one shows up on your verified credential.
Careers
Roles this prepares you for.
Real titles. Real skill bridges. Pick the one closest to your trajectory.
Career mappings coming soon.