The use of different control charting approaches for complex in-process measurements (such as curves and distributions), as well as how statistical tools are used together with automation and data management are critical for efficient and sustainable manufacturing processes.  

While in R&D there is greater emphasis on extracting numerous complex measurements to characterise the products, in manufacturing the pass/fail criteria tends to be based on a reduced number of metrics, often single value data. We strive to bridge the gap between R&D and manufacturing by exploring analytical tools to utilise valuable in-process complex measurements for monitoring and controling processes.