Optimizing Production Scheduling at a Munich Craft Brewery
Overview
What this challenge is about.
Your task is to analyze historical demand data (provided) and current production constraints, then propose a weekly production schedule that minimizes total changeover time while meeting at least 95% of forecasted demand. Success means a schedule that fits within capacity, reduces average inventory days by 20%, and is feasible to implement with existing equipment. You must present your schedule in a Gantt chart and justify your decisions using process analysis concepts.
The Brief
What you'll do, and what you'll demonstrate.
Design a weekly production schedule that minimizes changeover time and meets demand targets under capacity constraints.
Earning criteria — what you'll demonstrate
- Apply process analysis to identify bottlenecks and constraints
- Design a production schedule using capacity and demand data
- Evaluate trade-offs between changeover time and inventory
- Use lean principles to reduce waste in scheduling
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.