Problem Statement

Being a large chemical process plant, the client wants to know what are key factors impacting the manufacturing process

Solution Approach

The manufacturer has 12 raw materials and 45 processes variables to identify factors that are affecting the yield. We analysed the data, identified the influencers along with their weightage on the final yield

Business Benefits

  • Accomplished 40% improvement in the yield consistency by fine tuning 15 key influencers that are affecting the yield.
  • Created a predictive model for future yield and Prescribe possible actions
  • Simulate scenarios based on changes to influencers before they implement in production
  • Unlike static models, model is self learning and improved performance over the time. This helped improve 30% human productivity.