At Achema, Bosch Packaging Technology presented its new data mining service, which has recently been added to the range of pharma services for solid dosage forms. The service is offered by the Bosch subsidiary Hüttlin. The aim is to evaluate existing machine data more effectively to identify and eliminate root causes. “So far, about 50 percent of deviations have been classified as ‘human error’,” says Dr Marc Michaelis, expert for continuous production and process verification at Hüttlin. “Yet we assume that this is true for no more than ten percent. The rest is often misinterpreted due to missing information. As a matter of fact, there is already enough data available to get to the bottom of the causes. However, there is a lack of knowledge and time to read this data correctly.” First projects have shown that new patterns and failure causes can be defined and remedied in the production process thanks to data mining, and can help to achieve a more stable product quality in the long run.
Correct interpretation of machine data
Thanks to the data mining tool, it is now possible to examine large amounts of data for the smallest effects using statistical methods. In general, the data from two production batches is already sufficient to draw first conclusions. The more data is available for evaluation over a longer period, the more details can be identified. All it takes is machine sensors, which already collect data on almost all historical machines, as well as the right tool to disclose the data. “Large investments are not required to use the existing data more effectively. The key to success lies in merging knowledge from different disciplines,” says Michaelis. “Bosch not only has the necessary technical expertise, but also extensive process knowledge in customers’ product manufacturing. To identify reasons for process deviations, which are not obvious at first sight, we teamed up with the statistics experts from our Bosch Center for Artificial Intelligence in Germany and the U.S. Together we will raise the data treasure.”