01
OEE improvement
Constraint analysis across lines
Live OEE with automatic loss categorisation exposes the true bottleneck each shift, so improvement effort lands where throughput is actually lost.
[ Use Cases ]
What teams do with MFGPilot on day one
Each use case runs on the same connected data model — no separate tool, no separate integration project.
02
Predictive maintenance
Fewer unplanned stops
Vibration, temperature, and cycle data feed failure models that raise a prioritized work order days before a breakdown.
03
Scrap and rework reduction
Catch defects at the source
Vision inspection plus SPC alerts stop a drifting process before a full batch is compromised.
04
Material availability
No line stops for parts
Consumption-driven forecasting and automated replenishment keep line-side inventory ahead of the schedule.
05
Energy and carbon
Cost per unit produced
Per-asset metering ties energy spend to output and shifts load away from peak demand windows.
06
Multi-site benchmarking
Consistent KPIs everywhere
Every plant reports on the same definitions, so leadership can compare sites and scale what works.