This session delves into cutting-edge maintenance optimization within pharmaceutical manufacturing, emphasizing risk-based frameworks to define condition-based maintenance. Attendees will explore the integration of IoT-driven predictive analytics—such as HVAC monitoring—to proactively manage asset health, reduce downtime, and uphold stringent quality and regulatory compliance. The discussion will also address practical approaches to aligning maintenance strategies with evolving pharma industry standards. In this session, you will learn how to:

• Apply risk-based methodologies to tailor condition-based maintenance in pharma environments.
• Leverage IoT-enabled predictive maintenance tools to enhance equipment reliability and operational continuity.
• Ensure maintenance practices meet rigorous quality approvals and regulatory compliance requirements.

• How are you currently integrating risk assessments into your maintenance decision-making process?
• What successes and challenges have you encountered implementing condition-based or predictive maintenance, especially using IoT technologies?
• In what ways do quality and regulatory compliance shape your maintenance planning and execution?
• How do you ensure data integrity and effective data governance when deploying digital maintenance tools?
• What organizational changes or cultural shifts have been critical to advancing your maintenance strategy?