Proactively monitor machine and plant health to ensure optimal uptime, throughput, and maintenance needs.
Leverage the benefits of analytics and Industrial IoT technology to gain deeper insight into plant-floor equipment and enable predictive maintenance.

Monitor machine health
to reduce production disruption due to surprise outages and machine failures
Drive predictive maintenance
to decrease the time it takes to diagnose machine health events and improve historical data traceability
Contextualize IT/OT data
in a single view to connect plant floor data with MES data and support informed decision making
Plex Asset Performance Management (APM)

Aligned with extreme precision to the pillars of Smart Manufacturing.
Plex Asset Performance Management (APM) is designed to provide immediate value for your company, while preparing you for whatever tomorrow brings.
Connect
Connect shop floor performance data to maximize production and operational visibility.
Automate
Automate alerts sent to personnel who can effectively react to behavioral data that’s outside of the norm.
Track
Track equipment performance trends over time to predict downtime for proactive planning.
Analyze
Analyze trends and compare operational data against other KPIs to discover new opportunities for improvement.
Plex Asset Performance Management (APM) Features
Real-time visibility
Using real-time sensor inputs, machine states, PLC events, error codes, and part numbers, Plex APM will generate live views of what’s going on in your manufacturing environment.
Contextual traceability
Consolidate disparate silos of data into one system to gain a contextualized view as to why machines are not performing to the best of their ability and what was impacted when an issue occurs.
Preventative data and trends
Historical data storage and trend analytics allow for the support of accurate predictive maintenance and diagnosis of failure causing conditions.
Built-in analytics
Use a variety of custom rules and analytics to ensure machines are running as desired and generate notifications against potential machine failure to guide corrective action.
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