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Work Implemented

Clients approach DNJ Indiego to solve some of their most pressing problems. With our insight and expertise, we were able to solve these problems for our clients in the most efficient way. Each case study touches upon the challenges we faced, the custom solutions we built, their results, and the approach we chose to achieve them.    

  • Client : nFactorial
  • Category : Data Analytics
  • Website : www.nfactorial.ai
  • Date : 12/02/2020
Requirements: The quarterly operations review of the clients production line revealed a 3.6% increase in downtime, compared to the previous quarter. Client which is a biotech manufacturing company, faced issues which resulted in pipe blockages between reactor and the centrifuge.

Solution: DNJ Indiego analyzed the online and previous historical data from the production line and analyzed the correlation of events which were causing blockage. We identified that the problem regularly occurred a couple of hours after a specific combination of parameters in the distilator and the reactor.
Based on these findings, our solution provided a prediction alert to the operational team before the blockage occurred again.
As a result of this, the company returned to optimal production capacity and the team was able to track the correct predictive maintenance schedule.