How to Improve OEE and TPM with Predictive Maintenance and AI

Boost OEE and Reduce Downtime with AI-Powered Maintenance

Learn how to simplify predictive maintenance using standard AI apps—without major cost, effort, or in-house data science expertise.

Download this whitepaper to discover how to implement predictive maintenance quickly and cost-effectively.

'How to improve OEE and TPM with AI solutions like Predictive Maintenance'.

This whitepaper explains:

  • How to increase overall equipment effectiveness and total performance maintenance without major costs and effort
  • The role of predictive maintenance
  • Data and AI - the revolution in maintenance
  • From theory to practice: reduced downtimes on machine tools with AI

What's inside the whitepaper?

Data to actions

Learn the 6 steps from machine data to predictive, prescriptive maintenance using AI and condition monitoring.

Real-world use cases

See how a manufacturer reduced annual downtime costs by €15,000 per machine using Festo AX apps.

Our standardised AI apps

Discover how to monitor pneumatic cylinders—regardless of brand—using browser-based apps and plug-and-play connectivity.

How could you benefit from predictive maintenance?

Improved competitiveness

Improved OEE increases your output and thus counteracts competitive and cost pressures.

Longer systems service life

Early action in the event of anomalies or faults extends the service life of your machines and systems and therefore reduces downtime.

Efficient use of resources

Efficient use of machines and personnel counteracts the shortage of skilled workers and reduces costs.
Are you ready to shift from reactive to predictive?