Siemens Senseye: predictive maintenance in pharma скачать в хорошем качестве

Siemens Senseye: predictive maintenance in pharma

Discover how predictive maintenance is transforming pharmaceutical manufacturing—reducing downtime, preventing batch loss, and maximizing production output. This video explores key insights into leveraging advanced maintenance strategies for enhanced production efficiency. What you'll learn: What predictive maintenance truly means and how it differs from traditional monitoring approaches. Why pharmaceutical facilities critically need condition monitoring across primary, secondary, and fill-finish operations. Effective strategies to identify high-value assets for predictive maintenance deployment. A compelling real-world case study demonstrating how a single notification saved 168,000 units from batch loss. An introduction to the Siemens Senseye Copilot: AI-powered reliability engineering at your fingertips. How to seamlessly integrate predictive maintenance with existing workflows and legacy equipment. Speakers: Nyle Sullivan Jonathan Bonner, Head of Solution Engineering, Siemens Senseye For more information on Siemens Senseye, click here: https://sie.ag/3UWAN3