Asset-health analytics and local AI built against the mill’s production process, operating conditions, logistics constraints and available capacity — connecting machine condition to tons, line speed, delivery confidence and revenue exposure.
PHOENIX connects machine condition to the actual production process — grade, speed, throughput, utilities, operating state, maintenance, material flow, logistics constraints and available line capacity — so mill teams can understand not only what is changing, but how it affects production capability.
Monitor motors, gearboxes, rolls and drive trains with high-resolution vibration and operating-speed correlation.
Combine gearbox vibration, RPM, load, lubrication and outage timing for higher-confidence intervention decisions.
Track bearing condition, imbalance, looseness, process loading and developing mechanical faults across critical auxiliaries.
Correlate equipment behavior with grade changes, recipes, line speed, steam, load and production conditions.
Bring CMMS work history, PM schedules, spare parts, lubrication and inspection records into the same AI analysis.
Use LabSource local LLMs and coding agents to create mill-specific diagnostics, reports, calculators and workflows.
Relate equipment condition and process constraints to available tons-per-day, line speed, bottlenecks and the mill’s ability to meet the production plan.
Bring raw material flow, finished-goods movement, inventory, shipping constraints and operating schedules into the same decision context as equipment health.
PHOENIX connects machine condition to product grade, line speed, production schedule, PM planning, maintenance backlog, parts, process state, finished-goods logistics and available mill capacity so the mill can understand what capacity is reliable and which production commitments are exposed.
What must the operation deliver, and by when?
Which equipment condition, PM or repair need threatens the plan?
Can the work be completed with the available parts, labor, access and schedule?
How many tons per day and what line speed can the mill confidently support with current machine condition and process constraints?
Which developing conditions threaten the most product, customer commitments or production value?
Which repair, PM, operating adjustment or deferment protects the most production with the least disruption?