Quality Flow is like having a crystal ball
Quality Flow sets a new diagnostic standard for operators. Our AI engines analyze massive amounts of data to find root causes of defects and spec variability in current processes and generate preventative rules that get scheduled in production. For the first time, operators have clear crystal-clear vision into ongoing production issues that impact quality and yield.
Quality Flow predicts and prioritizes financial risks in upcoming production schedules based on cost to the business, Value-at-Risk (VAR). Operators take pre-emptive actions through risk simulation and AI-generated recommendations. The total amount of waste eliminated by operators is tallied, so executives can monitor the overall financial impact to the business.
Quality Flow dramatically reduced the Total Cost of Quality (TCO) for some of the world’s largest manufacturing companies.
25-35% reduction in Total Cost of Quality
- 15-35% decrease in quality variability
- Over 25% reduction in defect rate
15-20% increase in (First Pass) Yield
Over 60% decrease in inspection and RCA time
Substantial reduction in scrap and rework
Noodle.ai's Enterprise AI® engines are the secret sauce behind Quality Flow’s stunning results.
Quality Diagnosis leverages historical product, quality and process data to diagnose process anomalies for quality issues and identifies top drivers at varying levels of product hierarchy
Defect Prediction predicts and mitigates quality issues on upcoming production schedules
Variability Prediction predicts and manages the variability in quality specifications
Quality Rules generates quality rules for top drivers, including operating zones
Quality Recommendation recommends parameter settings to minimize defect risk or reduce variability in quality specifications for top factors identified by predictions
