From OEE to Root Cause: How Digital Twins Explain Line Performance
About the webinar
Discover how a production digital twin can help manufacturers improve OEE by providing a clearer picture of what’s happening across the entire production line, not just where downtime is recorded.
This workshop will explore how connecting machine-level production data with operational context and understanding how equipment interacts can help teams identify hidden losses, trace downtime to its originating event, and uncover opportunities to improve performance.
We'll also demonstrate how SmartSights ABLE brings this approach to life and discuss how production digital twins can provide the foundation for AI-driven applications, including predictive and prescriptive analytics, anomaly detection, and more informed operational decision-making.
What you’ll learn
- Why OEE alone doesn't reveal the root causes of production losses.
- How a topology-aware, temporally aligned digital twin connects machine states, event timing, and line flow to trace production losses.
- How machine states, conveyance, accumulation, and equipment relationships distinguish initiating causes from downstream effects.
- How production context uncovers hidden losses, including microstops, speed loss, rate imbalances, accumulation inefficiencies, and SKU/changeover impacts.
- How connected line visibility helps continuous improvement teams prioritize the losses that most impact performance.
- How high-fidelity, contextual production data provides the foundation for advanced analytics and AI applications.
Meet your speaker
Marc Bertrand
Industry Solution Director
SmartSights