Digitalisation & Networking in Production
Predictive maintenance in automotive production

Digitalisation & Networking in Production
Predictive maintenance in automotive production

Customer requirements

  • Preparation and examination of the predictive maintenance business case in body manufacturing

Solution

  • Extraction of hypotheses from fault analysis
  • Preparation of the business case incl. value stream simulation
  • Implementation of data connection to the cloud
  • Programming and hypothesis verification
  • Optimization of the hypotheses by means of machine learning
  • Technologies:  MS Azure, R, MS Power BI, Java Script, Cosmos DB
  • Confirmation of potential through pilot operation
  • Rollout

How the customer benefits

  • Increase in productivity and availability by predicting component failures in the production lines

Further project key data

  • Client: Automotive industry
  • Product: Passenger car bodies
  • Location: Germany
AUTOMATISIERTES TESTEN MODELLBASIERTER SYSTEME: REFACTORING & WEITERENTWICKLUNG EINES INNOVATIVEN SOFTWARETOOLS
AUTOMATISIERTES TESTEN MODELLBASIERTER SYSTEME: REFACTORING & WEITERENTWICKLUNG EINES INNOVATIVEN SOFTWARETOOLS

Customer requirements

  • Preparation and examination of the predictive maintenance business case in body manufacturing

Solution

  • Extraction of hypotheses from fault analysis
  • Preparation of the business case incl. value stream simulation
  • Implementation of data connection to the cloud
  • Programming and hypothesis verification
  • Optimization of the hypotheses by means of machine learning
  • Technologies:  MS Azure, R, MS Power BI, Java Script, Cosmos DB
  • Confirmation of potential through pilot operation
  • Rollout

How the customer benefits

  • Increase in productivity and availability by predicting component failures in the production lines

Further project key data

  • Client: Automotive industry
  • Product: Passenger car bodies
  • Location: Germany

DIGITALISATION & NETWORKING IN PRODUCTION REFERENCES