Batch Tracking and Analysis
Use Case Business Improvement


In order to maintain optimum production, it is critical to provide clear metrics on overall batch performance by analyzing “good” batches that occurred in the past. This analysis can be very challenging with current tools due to differences in the start and end time of each step in the batch process.



Seeq Tools allow users to identify when each batch identifier changes and to create performance statistics for each batch. These performance indicators can be exported to PowerBI for additional analysis and reporting of batch statistics by batch identifier.


Companies who use Seeq can benefit from data contextualization such as batch-based mass balance calculations. Production losses can be visualized for each batch as it moves through the process via reports generated by Seeq. 

Data Sources

  • OSI PI and PI Asset Framework  

Data Cleansing

Those using Seeq have continual contextualization of process data, enabling them to create accurate process signal statistics throughout each part of the batch process.

Calculations and Capsules

With Seeq, users can identify batches through the creation of capsules when the batch identifier changes. They can create key performance metrics the entire time that the batch moves through the process. 


Summarizing Results

Engineers using Seeq can more effectively analyze batch manufacturing performance as materials move between different batch processes. Seeq allows for faster detection of issues in batch production and batch performance problems. This ultimately results in more consistent, higher quality batches and increased production.