AI & BI use case · Industrial AI

Production line OEE

Measure availability, performance and quality in real time.

What it's about

Production-line OEE connects machine data with quality and planning data, making bottlenecks visible and quantifying improvement potential.

  • Higher efficiency
  • More transparency
  • Faster processes
Business case & ROI
+15 %

OEE

−10 %

downtime

6 Mon.

payback

x 3

response speed

Calculated from additional output through higher OEE and lower downtime costs.

How we do it
  1. 01

    Data integration

    Consolidate data from ERP, MES and further sources for Production line OEE.

  2. 02

    Data quality

    Clean, harmonise and validate data for plausibility.

  3. 03

    Model development

    Train and validate the Production line OEE model on historical data.

  4. 04

    Pilot

    Pilot Production line OEE in one area and collect feedback.

  5. 05

    Rollout

    Scale the solution and integrate it into operational processes.

5

Steps

6

Data sources

4

Stakeholders

From first data access to production – every step delivers a tangible interim result.

Data typically needed

MES data

Production orders, feedback and machine data.

Machine data

Condition, parameters and production counters.

Quality data

Inspection results, lab values and complaints.

Order data

Customer orders, line items and dates.

HR data

Shift plans, qualifications and absences.

Maintenance data

Faults, maintenance and spare-parts consumption.

Stakeholders
  • Production manager

    Uses insights directly in daily operations.

  • Maintenance

    Plans maintenance and spare parts precisely.

  • Quality management

    Secures compliance with standards and regulations.

  • Controlling

    Quantifies effects and supports budgeting.

Typical business value
01

Higher efficiency

02

More transparency

03

Faster processes

04

Better planning

05

Higher availability

The data platform advantage

With a solid data foundation this use case gets faster, cheaper and far more stable.

Central data platform

Real-time data integration

Scalable analytics pipelines

Reusable data products

Build a data platform
Synergies & positive side effects

Predictive maintenance

Sensor data provides wear indicators.

Predictive quality

Same data reveals quality deviations.

Energy optimisation

Process data enables demand-based energy control.