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OEE improvement for precision manufacturers

Recover manufacturing capacity from the equipment you already own.

We find the losses hiding inside your production data, then build the maintenance, scheduling, quality, and monitoring systems that close them. In 90 days, not two years.

Target result
5 OEE points
Pilot window
90 days
Typical upside
€2-4M / line

Proven results

$2.4M

Annual Value

30-60d

Payback Period

5.3h

Recovered/72h

<1 sec

Solve Time

Core solutions

Four ways to take OEE points back.

We turn the data you already collect into four focused systems: maintenance, planning, quality, and daily OEE management.

Manufacturing equipment area used to illustrate predictive maintenance and equipment performance analytics.

Availability

Predictive Maintenance

Catch degradation early, rank maintenance by what it costs you in throughput, and cut unplanned downtime before it hits OEE.

Anomaly detectionFailure predictionMaintenance prioritization
Explore Predictive Maintenance
Automated semiconductor production transfer system used to illustrate production planning optimization.

Performance

Production Optimization

Find the bottlenecks, kill the micro-stops, and turn real operating constraints into schedules that recover throughput.

Mixed-integer programmingConstraint optimizationBottleneck analysis
Explore Production Optimization
Engineers inspecting semiconductor production equipment, representing quality analytics and defect review.

Quality

Quality Analytics

Flag quality anomalies, rank review work by risk, and tie defect patterns back to the process conditions that cause them.

Time-series clusteringOutlier detectionComputer vision evaluation
Explore Quality Analytics
Operations team monitoring technical systems, representing OEE dashboards and manufacturing visibility.

Visibility

OEE Dashboards / Monitoring

Give leaders and production teams one shared view of Availability, Performance, Quality, and the losses sitting behind them.

OEE calculation designMES/ERP integrationRoot-cause dashboards
Explore OEE Monitoring

Proof of work

What a 5-point OEE gain actually looks like.

Each project spells out the context, the loss, the approach, the measured result, and the method behind it.

View all case studies
Electronics assembly line representing maintenance prioritization by production capacity impact.
AvailabilityManufacturing

Prioritized Maintenance Platform: $2.4M Annual Value

A maintenance prioritization system that used simulation to rank interventions by workshop-level capacity impact and quantify annual value.

Annual Value
$2.4M
Payback Period
30-60d
Recovered/72h
5.3h
Read case study
Semiconductor fab transport system representing integrated operations planning and optimization.
PerformanceSupply Chain

Integrated Operations Planning & Optimization

A constraint optimization framework for production and resource planning, designed to resolve conflicts across maintenance, production, and quality activities.

Solve Time
<1 sec
Activities Planned
400+
Dynamic Opt.
Level 4
Read case study
Technical analytics image representing automated sensor trace review and outlier detection.
QualityManufacturing

Automated Data Review Platform: 10% Faster Analysis

An automated quality data review platform that clustered sensor traces and surfaced outliers so engineers could focus on abnormal patterns first.

Faster Analysis
10%
Sensors/Batch
40k+
Outlier Detection
Auto
Read case study

Demos

See the dashboards, alerts, and optimizers we ship.

Four walkthroughs built around the real problems on the floor: visibility, maintenance, scheduling, and quality review.

Explore demos

Engagement model

Start small. Prove it. Then scale.

Every engagement answers four questions: Which loss? What's it worth? What fixes it? And how do we roll it out?

1
2-3 weeks

OEE Diagnostic (2-3 weeks)

A deep read of your actual production data. We quantify the Six Big Losses, break OEE down by line and shift, and hand back a prioritized roadmap. This is the real diagnostic, not a 1-hour call, but two to three weeks of data forensics.

  • +Six Big Losses quantified on your data
  • +OEE by line and shift (Availability / Performance / Quality)
  • +5-point improvement roadmap with ROI estimates

Investment

€14K - €27K

What it unlocks

Typically surfaces €2-6M in recoverable value

2
6-12 weeks

Pilot Project (6-12 weeks)

A focused OEE solution on one or two lines. Prove a 3-5 point gain before anyone talks about scaling. Fixed scope, validated on your data, deployed in 90 days.

  • +Predictive maintenance or constraint optimization
  • +Validated OEE gain (documented baseline → result)
  • +Real-time OEE dashboard + alerting

Investment

€45K - €135K

What it unlocks

€135K pilot → €2-4M annual value, 15-30x in year one

3
3-9 months

Multi-Line Rollout (3-9 months)

Take the proven solution across 5-20 lines. MES/ERP integration, change management, and team training turn a pilot win into a sustained 5+ point OEE gain plant-wide.

  • +Production-grade deployment across lines
  • +MES/ERP integration with existing systems
  • +Team training to sustain the gain

Investment

€180K - €720K

What it unlocks

€720K investment → €10-20M value over three years

4
Continuous

Ongoing OEE Excellence

Models retrained as your processes evolve. New opportunities surfaced as the data changes. Advisory on what's coming next, so world-class OEE stays world-class.

  • +Quarterly model updates and retraining
  • +New OEE opportunities surfaced
  • +Strategic advisory on manufacturing tech

Investment

Custom retainer

What it unlocks

Hold world-class OEE while competitors stall at 70-75%

Most clients start with Phase 2: the €45K-€135K pilot.

Prove a 3-5 point OEE improvement on one or two lines in 90 days, then scale with documented ROI, not a two-year transformation program.

Discuss a pilot

Next step

Start with the loss that's costing you the most.

A 60-minute call is enough to review the problem, the data you already have, and whether a diagnostic or a pilot is the right next step.