Overview
Connect Machine Health with Production Performance
AssetWatch and Oden Technologies bring together predictive maintenance insights and real-time production intelligence to give maintenance and operations a more complete picture of what's happening on the plant floor.
AssetWatch identifies developing equipment issues and provides expert-backed recommendations, while Oden adds the production context surrounding each asset, including performance, quality, operating conditions, downtime, and run data.
Together, teams can better understand what's happening to the machine, how it's affecting production, and what action to take next.
AssetWatch protects the machine. Oden optimizes each run.
How It Works
1. Detect a Developing Issue
AssetWatch continuously monitors machine health and identifies developing equipment issues using condition data, AI-powered analysis, and expert validation.
2. Add Production Context
Oden connects the alert with relevant production information, including run time, product, process conditions, quality, operating state, downtime, and performance.
3. Diagnose and Prioritize
The combined data helps teams determine whether an issue is asset-related or process-induced and understand whether it's currently affecting speed, quality, or uptime.
4. Take Action and Verify the Outcome
Maintenance work can be prioritized based on production impact, with condition and process signals used afterward to verify that performance returned to baseline and the fix held.
Two Systems. One Decision.
See machine condition alongside production performance tounderstand what's happening, determine its impact, and make the right decision faster.
Why This Integration Matters
Prioritize Maintenance Based on Production Impact
Combine machine-health insights with production performance to understand which developing issues are affecting throughput, quality, or uptime and prioritize maintenance accordingly.
Find Root Causes Faster
Bring condition alerts together with product, process, run, operating state, downtime, and other production data to reduce the back-and-forth between maintenance and operations when investigating an issue.
Optimize Machine Life and Output
Understand how operating conditions affect equipment health, so teams can push performance while making informed decisions about machine life, uptime, and quality.
Bring Maintenance and Operations Together
Give both teams machine condition and production context so reliability and operational decisions can be made using the same information instead of isolated data sets.
Smarter Planned Maintenance
Focus more PM efforton degrading assets that are limiting production.
Faster Investigations
Reduce the time ittakes to move from an open alert to an identified cause by bringing conditionand production data together.
Longer Machine Life + Higher Output
Use data to balanceequipment health and production performance instead of optimizing one withoutvisibility into the other.
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