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Pharmaceutical Manufacturing Real-Time System Monitoring

From Markus Herrmann, Senior Presales Manager at Aveva | Translated by AI 3 min Reading Time

Related Vendors

AVEVA GmbH
Bausch + Ströbel SE + Co. KG
FAULHABER Drive Systems
Taiwan Machine Tool & Accessory Builders' Association (TMBA)
SIMTOS (Seoul International Machine Tool Show)

Condition monitoring systems can help reduce unplanned machine downtime and detect anomalies in pharmaceutical production facilities at an early stage. Bausch+Ströbel, Brüel & Kjær Vibro, and Aveva have developed a solution that translates insights from various data sources into concrete recommendations for action.

Predictive maintenance should not be a matter of plant size or budget, but rather a matter of the proper integration of data collection, analysis, and feedback to operators.(Source: Aveva)
Predictive maintenance should not be a matter of plant size or budget, but rather a matter of the proper integration of data collection, analysis, and feedback to operators.
(Source: Aveva)

Scheduled maintenance can generally be planned so that it does not disrupt production. However, unplanned downtime can occur at any time: If a machine fails in the middle of batch production, there is a risk of losing an entire batch of medications or vaccines. In theory, many such failures could be detected early—and even prevented—based on data anomalies. In practice, however, many pharmaceutical filling lines are not yet monitored comprehensively using data. Another challenge is that technical changes often require a time-consuming re-qualification process due to complex regulations.

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