In order to raise efficiency and production standards, it is important to be able to analyze the performance of batch processes and identify time spent in each of the different process phases. Increased visibility into unproductive process time (for example during cleaning and maintenance and shift v shift differences in manual re-cleaning events) is necessary in order to enable users to take actions to reduce them. With the ability to increase production opportunities when reducing waiting times, overall profitability can also increase.
Seeq offers Seeq offers customers, such as Buzzi Unicem, an Italian company which produces cement, ready-mix concrete, and construction aggregates, the ability to identify batch phases and sub-phases through process operating data analysis by combining step numbers, flow rates and valve modes. It also provides the ability to calculate metrics for each batch phase and create reports. This data provides operators with a better understanding of each batch phase and a long-term, big-picture view of where improvements can be made to save time and increase efficiency. Seeq, powered by AWS, enables Buzzi Unicem to scale up quickly to monitoring dozens of assets at a single plant or across multiple locations.
Seeq allows for increased effectiveness in the overall analysis of batch process utilization, as well as improved documentation and cross-organization collaboration. It enables rapid identification of issues that arise during operations and replaces existing spreadsheets which can be complicated, inefficient, and make it difficult to collaborate.
OSI PI and PI Asset Framework
Calculations and Capsules
With Seeq, capsules can identify different process phases as well as calculate key metrics for batch phases. Seeq users have access to continual contextualization of process data, which enables them to create accurate process signal statistics for each mode of operation.
Seeq operators are able to more effectively analyze batch process utilization, eliminate existing shared excel documents to better streamline the process and improve both documentation and collaboration processes. The end result enables faster identification of operational problems so that they can be responded to and fixed sooner, reducing their impact to your bottom line.