This session will showcase how integrated predictive maintenance aligned to the ISPE-defined “Pharma 4.0™ operating model” and its initiatives secure reliable pharmaceutical manufacturing.  

Integrated predictive maintenance using online Vibration Condition Monitoring (CM) for secondary assets, such as pumps or fans, that secure primary production processes has been shown to increase productivity by providing early warning of developing failures; recognized as best practice of GMP compliance. 

Explore the intricacies of successfully integrating seamless data streaming into the AVEVA™ PI System™ historian and analytics platform—trusted by the top 25 pharma companies—for monitoring over 400 assets at a major pharmaceutical manufacturer.  

Being the “single source of truth” centralizing several “big data” streams, such a historian becomes the foundation towards prescriptive maintenance with AI and allows for the achievement of other Pharma 4.0 goals, e.g., sustainability and digital maturity. Learn how B&K Vibro is utilizing AI within CM to perform “limitless monitoring” and make traditional alarm limitations a thing of the past. In this session, you will learn how to: 

• Leverage Condition Monitoring to secure manufacturing processes and reduce costs by minimizing asset downtime. 
• Recognize the growing importance of Condition Monitoring in the pharmaceutical sector, where vibration monitoring is less established compared to other industries. 
• Align Condition Monitoring practices with ISPE’s highest standards in pharmaceutical engineering, ensuring compliance and quality. 
• Utilize vibration condition monitoring as part of an integrated predictive maintenance strategy to gain actionable insights that improve efficiency across the value chain of a pharmaceutical manufacturer.