Pharma production is seeking to improve reliability of critical manufacturing processes. In this webinar, we will bring in process experts from Siemens and IMA Life NA who have achieved predictive operational excellence for Lyophilization.

Numerous manufacturing equipment and inspection tools function simultaneously at various levels and intensities in the pharmaceutical industry to manufacture drugs which are fit for consumption. Traditional post-design reliability practices involve specialized instrumentation which is often asset-specific, and the majority of assets are not operated to a stage of failure. Maintenance of such assets thus poses a large cost to the facility.

Software-defined reliability overcomes the shortcomings of asset-specific condition monitoring and enables a holistic approach to the lyophilization process (maintenance, process, and quality). In this webinar, we talk about scaling reliability with targeted solutions to solve pharma manufacturing challenges such as:

Condition based maintenance:

Discover anomalous conditions through pattern analysis, predict when a device will fail and assist in root cause explanation. This allows maintenance teams to fix the issue at the right time (not too much in advance – over cost, or too late – disaster).

Real time reject:

Run AI on the edge to allow operations teams to reduce the false positive samples of vials at the inspection line after the freeze dryer.

System-wide reliability:

Analyze both continuous process and ad hoc specialized instrumentation measurements across multiple assets and process segments.