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OEE in the dark
No reliable, real-time view of equipment effectiveness.
OEE, downtime and quality analytics that lift throughput and cut loss on the plant floor.
The plant floor generates huge data and acts on little of it. We turn machine, quality and downtime data into live manufacturing analytics — OEE, loss analysis, quality — so operations see where throughput leaks and fix it.
Without analytics, loss and downtime are normalised, not attacked.
No reliable, real-time view of equipment effectiveness.
Losses happen but their causes aren’t quantified.
Defects are caught late, after cost is incurred.
Four capabilities for the floor.
Live overall equipment effectiveness and its components.
Downtime quantified and attributed to cause.
Defect and scrap patterns surfaced early.
Bottlenecks identified and addressed.
A clearer, faster plant.
Live equipment effectiveness by line and asset.
Causes quantified and prioritised.
Early defect and scrap signals.
Where throughput and quality gains sit.
Bring a real decision or dataset — we’ll show you how KEPLER would approach it, with no obligation.
Book a 60-minute sessionWe start with a short diagnostic — the decision to improve, the data behind it, and a first slice that proves value fast. See how we engage →
From a quick diagnostic to a fully managed service — start small and scale as value is proven. How we engage →
The industries this work serves.
R&D, safety and commercial analytics.
Operational and patient-flow analytics.
Project controls, cost and schedule analytics.
Demand, pricing and customer analytics.
Quality, throughput and maintenance analytics.
From machine data to floor decisions.
Machine, quality and downtime data is brought together.
Raw signals become OEE and loss metrics.
Bottlenecks and loss causes are surfaced.
Live dashboards reach the floor.
Throughput and quality gains are tracked.
The floor sees its performance and acts on it.
The category, capabilities and expertise this connects to.
Common problems in this area, how KEPLER solves them, and the likely outcome.
Real-time line visibility
View details →Machines and MES generate data all day, but it lands in reports the morning after. By the time a problem is visible, the shift that caused it is over.
Production issues caught and worked during the shift, not explained the day after.
Fewer defects escaping
View details →Defects surface at final inspection or, worse, at the customer, long after the process drifted. Root cause is a detective exercise across disconnected data.
Defects caught closer to their source, cutting scrap, rework and escapes.
~20% less unplanned downtime
View details →Run-to-failure means surprise breakdowns; fixed schedules mean servicing healthy machines. Both waste money, one in downtime, the other in labour and parts.
Fewer surprise breakdowns and less needless servicing, with maintenance aimed where it's due.
No use cases match this filter yet — but the problem is almost certainly one we can help with.
Ask us about your problem →Point us at a line and we’ll show you the loss hiding in it.
Talk to our operations team
