Reduce setup times through smart parallelization
BakeTwin analyzes every product changeover and identifies tasks that can run in parallel rather than sequentially — for shorter downtime and higher line utilization.
The problem: setup times are not tracked
Setup times are not captured — optimization potential remains invisible. Without data, it's impossible to identify which product changeovers take especially long and why.
The solution: systematic capture and pattern analysis
BakeTwin enables structured capture of every product changeover — from-product, to-product, duration, phases. Automatic analyses reveal patterns and optimization potential.
How setup time optimization works
- Capture setup times: document product changeovers in seconds — from-product, to-product, duration, phases
- Detect patterns: which changeovers take the longest? Trend analysis over time
- Phase analysis: break down setup time into cleaning, tool change, setup, run-in — identify the bottleneck
- Derive measures: specific optimizations for the longest changeovers
- Line integration: link setup times with the production line — which line has the most optimization potential?
- Export reports: reports for production managers and executives
Measurably shorter changeover times
- 15–25% shorter setup times
- +10% effective throughput
- Make bottlenecks visible
- Data-driven measures instead of guesswork
Frequently asked questions
How long until first results are visible? After just 5–10 captured setup times per changeover type, the analyses show initial patterns. For meaningful trend analysis, we recommend 2–4 weeks of data collection.
Can multiple employees capture setup times simultaneously? Yes. BakeTwin is a multi-user system. All team members in your bakery can capture setup times — data is analyzed centrally.
Does the analysis work for multiple production lines? Yes. Setup times can be captured and compared per line. This shows which line has the greatest optimization potential.