Quality Flow
When production losses threaten profits for inexplicable reasons, Quality Flow unmasks root causes and provides operational clarity that prevents waste.
Operators Know Their Tools Have Blind Spots
Operators Know Their Tools Have Blind Spots
Even the most advanced Quality Management Systems fail to get to the bottom of quality issues in highly complex and dynamic manufacturing environments. Univariate rules, static thresholds, and manual statistical analysis mean that the real problems will never be unearthed. Operators are resigned to generating a set amount of waste simply because their tools leave them blind to root causes.
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 a crystal-clear vision into ongoing production issues that impact quality and yield.
Prevent Quality Issues Before They Occur
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.
Proven in Production
Quality Flow has dramatically reduced the Total Cost of Quality (TOQ) — across a diverse set of industries — 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
Powered by Noodle Enterprise AI®
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
Change the Game Within Six Months
It takes time to set up AI in complex manufacturing environments – but when Quality Flow is up and running, solutions suddenly appear for previously “unsolvable issues”. We have made it easy to get started with tooling that ingests data, models that are ready to be tuned, and a user interface that’s easily configurable to any manufacturing process and hierarchy. When Quality Flow goes live, it’s a financial game changer for the business.
