The Predictive Quality AI app tracks and analyzes the interactions between all the assets in the production cycle, instead of isolated machines and processes, and their impact on the outcomes. Along with offering a holistic view, the app also provides early warnings about quality risks, predictive insights about their impact on work orders, and recommendations for course corrections.
improvement in quality
reduction in rework
improvement in work order closure rates
The Predictive Quality AI app considers a wider range of factors and their interdependencies to foresee potential quality issues and manage them proactively.
STEP 1: MACRO & MICRO INTERACTION MAPPING
To understand micro behaviors, all the interactions between assets and process parameters within the production system are mapped out by the algorithms for each of the workstations. In addition, patterns are derived for the end-to-end system, thus providing insights on a macro level. The resulting model maps the behavior of the system in its entirety.
STEP 2: RISK SCORE QUANTIFICATION
Our proprietary Risk Score Algorithm generates risk scores for each of the in-process products based on real-time process parameters. The risk scores get updated as the product moves through each step, providing insights on how likely it is to pass quality checks. The algorithm also offers recommendations for desired outcomes for future production cycles.
The Neewee Advantage
Deployment in 6-8 weeks for a medium complexity line
Risk score algorithm that has been specifically designed for discrete manufacturing
The app can also be extended to high variation-low volume manufacturing
Real-time recommendations for quicker actions
These real-world examples show how effective our Predictive Quality app is at reducing cycle times and improving productivity.