Aviation

The highest possible production volume, reject rates and susceptibility to faults are influenced by many different factors. Digitalization and AI help to find clear answers to these and other challenges.

Examples for Solved Questions

  • Which spare parts are needed in which quantity?
  • How do I distribute them as efficiently as possible to my storage locations?
  • How do I organize my maintenance and certification processes most effectively?
  • When will a component on board break down?

Overview of Success Cases

Highlight Process Optimization

Highlight Process Optimization

Highlight Predictive Maintenance

Highlight Predictive Maintenance

Success Case Predictive Maintenance Aviation

Success Case Predictive Maintenance Aviation

Success Story Supply Chain: Initial Provisioning Optimizer

Success Story Supply Chain: Initial Provisioning Optimizer

Highlight Ad-Hoc-Analysis

Highlight Ad-Hoc-Analysis

Success Story – Spare Part Provisioning for Airlines

Success Story – Spare Part Provisioning for Airlines

When one productive shift left the next two struggling

see all success cases

Avoidance of AOGs

25%

Carlos Ayala Jiménez

Carlos Ayala Jiménez

Would you like to learn more on how your company can benefit from the application of mathematical technologies and what the benefits you can expect in your specific case?

Phone: +49 1516 2 60 74 21

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