CASE STUDY
Tier-1 Automotive Supplier
Tier-1 Automotive Supplier
Process Optimisation with ML
Process Optimisation with ML
How a global Tier-1 automotive supplier used Jemba to master a complex manufacturing process with 700+ variables, achieving measurable improvements across production yield, cycle times, and expert validation.
80%Production Yield
2.7×Faster Time-to-Insight
10Key Factors Identified
80%Expert Validation
CASE STUDYWhat You’ll Learn
- How ML identified the 10 most critical process factors from 700+ variables
- The data-driven approach that replaced months of trial-and-error experimentation
- Concrete production improvements validated by process engineers
Factor 1: Temperature Control Zone 3 — Score: 0.089
Factor 2: Pressure Regulation Unit — Score: 0.076
Factor 3: Feed Rate Variance — Score: 0.071
Factor 4: Humidity Sensor Array — Score: 0.064
Factor 5: Cooling Cycle Duration — Score: 0.058
Factor 2: Pressure Regulation Unit — Score: 0.076
Factor 3: Feed Rate Variance — Score: 0.071
Factor 4: Humidity Sensor Array — Score: 0.064
Factor 5: Cooling Cycle Duration — Score: 0.058
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