Business Problem
- Inability to correlate quality failures with out of sped process data
- Reactive approach to handle quality issues resulting in time & inventory holdup
- Quality out of spec is higher than industry standards
Solution
- Using the existing data measure ,quantify and control drivers of Particle Size (PS – one of the Quality parameters)
- Build a customized Machine Learning model to measure & proactively control process attributes within desirable range
- Recommend equipment readings to bring particle size within spec based on simulation
Benefits to End Customer
Estimated 30% particle size defect
reduction
Reduction in Cost of Quality
Automated process with live
predictions
Case Studies
September 23, 2021
