In chemicals manufacturing, unplanned downtime often translates directly to lost production. Standard monitoring tools rely on threshold-based alarms and provide limited visibility of critical reliability issues to operators. Unplanned slowdowns, shutdowns, and maintenance activities are costly due to disruptions to throughput, quality, and inventory material flows – as well as unplanned remedial work.

In this webinar, we invite you to explore how C3 AI Reliability, C3 AI’s market-leading predictive maintenance application, can predict asset risks in advance and improve operational efficiency. Through a chemicals industry case study and a live demo of C3 AI Reliability, learn how to improve uptime and implement predictive maintenance across key assets in chemicals manufacturing to achieve safe, reliable, and profitable operations.

Learn how:

• Operators can use AI to reduce unplanned downtime and maintenance costs by identifying equipment issues in advance
• C3 AI Reliability provides a holistic view of operations by unifying various types of data from sources including data historians, maintenance records, and equipment manuals
• AI technology provides recommended actions based on pre-integrated failure mode libraries and institutional knowledge, allowing users to understand, interrogate, and act on recommendations

Join us to discover the possibilities of C3 AI Reliability in maximizing total equipment effectiveness and asset utilization for chemicals manufacturing.