Operationalizing Statistical and Process Control Analyses Using Advanced Analytics
Statistical process control (SPC) is used in chemical manufacturing to measure how consistently a product or process performs over time. Developing SPC charts can be laborious, requiring large volumes of data gathered from disparate sources. Segmenting this data can be even more complex and time-consuming, with multiple product grades or operating modes making the process a headache for data analysts and process experts. Batch processing brings its own unique challenges, as process and quality parameters change with time for each batch.
Advanced analytics software offers a solution to chemical manufacturers who rely on SPC charts for process monitoring. Advanced analytics enable operationalization of control charts by connecting to and unifying a wide range of data sources. This allows for near-real time analysis and potential on-the-fly process optimizations, ensuring the best possible production and quality outcomes with the least amount of manpower possible.
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