The Operations Podcast with Fexingo · 2026-07-17 · 8 min
Episode 119 of The Operations Podcast with Fexingo. Lucas and Luna dive into the specific case of Nucor's Crawfordsville, Indiana mini-mill, which used digital twin technology to simulate its electric arc furnace and optimize power usage in real time. They break down how the model integrates sensor data, predicts temperature distributions, and adjusts electrode positioning to reduce energy consumption by 25 percent while maintaining melt quality. The conversation covers the three prerequisites for success: accurate sensor calibration, a physics-based model rather than a pure black-box AI, and operator buy-in through visual dashboards. Lucas explains why this approach works better for continuous processes than batch operations, and Luna questions whether the model can transfer to older mills. A concrete, numbers-driven look at how digital twins move from hype to measurable operational savings.
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