Beyond the OEE Number: Diagnosing Machine vs. Process to Unlock True Operational Gains
Overall Equipment Effectiveness (OEE) helps manufacturers measure production performance, but it doesn't always explain why performance is declining. Equipment degradation, machine failures, and process inefficiencies can all contribute to lost OEE, making it difficult to identify the right corrective actions.
In this on-demand webinar, AssetWatch and Oden Technologies explore how manufacturers can combine predictive maintenance insights with operational data to identify the root causes of OEE losses, prioritize the right interventions, and improve equipment reliability and production efficiency.
Learn how to move beyond the OEE score to uncover what's actually affecting performance and make more informed maintenance and operational decisions.
What You'll Learn
- Diagnose the root causes of OEE loss: Distinguish machine failures from process inefficiencies using connected asset and operational data.
- Build a repeatable diagnostic workflow: Identify whether downtime, speed losses, and quality issues stem from equipment, operations, or both.
- Prioritize the right corrective actions: Align maintenance, operations, and engineering teams around the issues they can resolve.
- Connect equipment health with production performance: Improve visibility across asset monitoring and process tracking systems.
- Measure the financial impact of improvements: Understand the ROI of machine-focused maintenance and process-focused optimization.
- Scale what works: Start with targeted improvements, demonstrate results, and expand your approach across manufacturing operations.
Why OEE Improvement Starts With Better Diagnostics
When OEE declines, maintenance teams may suspect equipment problems while operations teams focus on production processes. Without a shared view of machine health and operational performance, teams can end up addressing symptoms instead of the underlying causes.
Improving OEE requires more than tracking downtime, speed, and quality. Manufacturers need the context to understand what's driving those losses.
By connecting predictive asset intelligence with process-level visibility, manufacturers can make better-informed decisions about where to focus resources, reduce unnecessary interventions, and pursue improvements that deliver measurable results.
Watch the On-Demand Webinar
Discover how a diagnostic-first approach can help your team identify the real causes of OEE loss, improve equipment reliability, and unlock greater operational efficiency.
Presenters:
Brendan Joyce
Senior Product Manager, AssetWatch
Brendan brings more than a decade of product management experience, with a focus on cross-functional leadership and product innovation. At AssetWatch, he helps develop predictive maintenance solutions designed to reduce unplanned downtime and improve operational efficiency.
Brandon Mendoza
Vice President of Sales and Customer Experience, Oden Technologies
Brandon leads customer acquisition, revenue growth, and customer experience at Oden Technologies, helping manufacturers connect technology investments with measurable business outcomes.
