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Use Case

OEE Optimisation:
See the Full Picture

OEE is the standard metric for manufacturing performance, but most teams only scratch the surface. Jemba goes deeper — breaking down availability, performance, and quality losses to find the highest-impact improvements.

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OEE Performance BreakdownOverall OEE Score78.4%+3.2% vs last weekAvailability92.1%Performance85.2%Quality99.8%Loss Breakdown — Top Root Causes3.2%Planned stops2.8%Changeover1.9%Breakdowns4.1%Minor stops6.7%Speed loss0.8%Startup rejects0.2%Run rejects
La solution

How Jemba solves it

Jemba continuously calculates OEE from your production data, automatically categorises losses, and uses ML to identify which factors most strongly drive each loss category.

  • ✓Real-time OEE calculation across all lines
  • ✓Automatic loss categorisation (availability, performance, quality)
  • ✓ML-driven root cause ranking for each loss type
  • ✓Benchmarking across shifts, lines, and sites
4 wk
time to first insight (typical deployment)
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Related use cases

Quality Correlation →Energy Monitoring →

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