Real-Time Predictive Analytics The algorithm dynamically evaluates each running batch and defines the ‘golden’ batch. Throughout the process the current batch is constantly compared with the ‘golden’ batch. The software predicts the current batch product results and alerts in case that predicted results are biased from the ‘golden’ batch.
Sensors behavior comparing high & low yield batches
The software enables users to gain deep insights from the entire manufacturing process Users can produce customized reports of relevant reactor parameter and explore the process behavior in an advanced and efficient way.
Historical Data Analysis
Machine Learning Clustering
- Machine learning clustering algorithm, analyzes all historical batches and clusters them in groups after calculating thousands of mathematical features.
- Each new batch is dynamically evaluated his compliance to valid clusters.
- In case of irregularity, the platform alerts and identifies the root cause of the incompliance.