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Predictive model for industrial machinery maintenance

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

Author : Paola Bruno, Luca Loretti, Andrea Monti, Alessandro Tigano

Date : 13-09-2021

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Predictive model for industrial machinery maintenance Predictive model for industrial machinery maintenance