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Predictive Maintenance

  1. In order to predicted failures and improve efficiency of equipments we aim to use advance analytics with algorithms capable of triggering alerts and improve decision making.

  2. Potencial gain of R$20MM a.a, with improved maintenance planning and resources allocation.

  3. Data Science a crash course and equipment models deploy already running on Furnace, Heat Exchanger, Compressor, Pump Extruder and Reactor System.

Do you have questions about this project?

Here you can find the project documentation and answer all your questions. If you do not have access, you can send an access request to tbd@braskem.com.