Beyond the OEE Number: Diagnosing Machine vs. Process to Unlock True Operational Gains
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WEBINAR
October 15th
2-3pm EST
Hosted By Brendan Joyce and Brandon Mendoza
Join us on October 15th to learn how to:
- Distinguish machine failures from process inefficiencies using integrated asset and operational data. Avoid costly misdiagnosis.
- Build a diagnostic workflow that quickly identifies whether downtime, speed loss, or quality issues originate from equipment or operations or a combination of process inefficiency and machine degradation
- Prioritize interventions by understanding which problems belong to maintenance, operations, or engineering, or both. Tackle them with the right team.
- Implement a connected visibility model that breaks down silos between asset monitoring and process tracking
- Translate diagnostic clarity into financial impact by measuring the true ROI of machine-focused vs. process-focused improvements
- Start small with quick wins, then scale as you prove the model across your operations
OEE (Overall Equipment Effectiveness) scores tell you that performance is suffering. They don't tell you why, or more importantly, what to fix. When manufacturers chase OEE improvement without understanding whether problems stem from equipment failures, process inefficiencies, or a combination of both, they waste resources on the wrong interventions.
In today's manufacturing environment, a single OEE dip can trigger conflicting priorities: maintenance teams suspect the machine, operations teams suspect the process, and the truth gets buried in competing data sources and disconnected systems.
The reality? You can't solve all OEE problems with OEE alone. Just as you can't diagnose reliability issues with asset data in isolation, you can't improve overall performance without connecting equipment health to operational context.
In this session, we'll explore how combining predictive asset intelligence with process-level visibility creates a clear diagnostic framework: one that pinpoints the actual source of lost OEE and guides you toward high-impact solutions.
Stay Focused. Stay Connected. Stay Reliable
We'll share real-world examples from manufacturers who stopped guessing about OEE root causes, implemented a diagnostic-first approach, and achieved measurable gains in equipment reliability, operational efficiency, and bottom-line performance.
Think of this session as your diagnostic toolkit: practical, integrated guidance to help your team stop chasing symptoms, solve actual problems, and sustain OEE gains when it matters most.
Meet your hosts
Brendan Joyce
Senior Product Manager, AssetWatch
Brendan Joyce, Senior Product Manager at AssetWatch, brings over a decade of experience in product management, specializing in cross-functional team leadership and product innovation. At AssetWatch, he plays a pivotal role in crafting predictive maintenance solutions that eliminate unplanned downtime and increase operational efficiency across various industries. Brendan holds an MBA in Entrepreneurship: Innovation and Change from the Driehaus College of Business at DePaul University, along with a Bachelor’s degree in Nuclear, Plasma, and Radiological Engineering from the University of Illinois Urbana-Champaign. His dedication to continuous improvement and innovation drives his success in the field.
Brandon Mendoza
Vice President of Sales and Customer Experience, Oden
Brandon is the Vice President of Sales and Customer Experience at Oden Technologies driving customer acquisition and revenue growth by developing and executing go-to-market strategies and managing high-performing sales teams. He also oversees the end-to-end customer journey, ensuring long-term satisfaction, retention, and expansion through world-class service and partnership.
Stop Guessing Why Your OEE Is Slipping
Register for the October 15th session and learn how to pinpoint whether lost OEE comes from the machine or the process, then fix the right one.