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Author:
Paola Bruno
Luca Loretti
Andrea Monti
Alessandro Tigano
TOOLS:
› Thingworx

Predictive model for industrial machinery maintenance 

Since 1953, the CB AUTOMATION division of Bettinelli F.lli SpA has been producing automated assembly and control platforms, primarily for the pharma, medical, beauty and home cleaning sectors. 

Needs/problems of our customer: 

  • Reduce machinery maintenance costs, in terms of personnel, replacement parts, travel, machine downtime 
  • Obtain accurate information on the source of the fault 
  • Guarantee FTFR (first time fix rate), i.e. resolution of the fault during the first visit 
  • Move from scheduled maintenance (which is 
    sometimes unnecessary) to predictive 
    maintenance 
  • Other needs identified during the activity 
    > To create a database 
    > To begin to move towards industrial IOT