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In this episode, we take a calm and honest look at a sensitive topic in manufacturing: your OEE numbers might not be telling the full truth. We explore why OEE often looks clean on dashboards but hides data gaps, inconsistent definitions, and signals that don’t reflect what’s really happening on the shop floor. From PLC tags that don’t match reality to manual overrides that skew performance, small issues can quietly distort the big picture. The discussion focuses on what usually goes wrong and how teams can rebuild trust in their metrics — not by adding more charts, but by fixing the foundation. If OEE feels more political than practical in your plant, this conversation will sound familiar. For deeper reading and more real-world insights, visit iiotblog.com.
By Henry CostaIn this episode, we take a calm and honest look at a sensitive topic in manufacturing: your OEE numbers might not be telling the full truth. We explore why OEE often looks clean on dashboards but hides data gaps, inconsistent definitions, and signals that don’t reflect what’s really happening on the shop floor. From PLC tags that don’t match reality to manual overrides that skew performance, small issues can quietly distort the big picture. The discussion focuses on what usually goes wrong and how teams can rebuild trust in their metrics — not by adding more charts, but by fixing the foundation. If OEE feels more political than practical in your plant, this conversation will sound familiar. For deeper reading and more real-world insights, visit iiotblog.com.