Apply DMAIC to diagnose and improve a digital twin with poor prediction performance.
A bearing-failure twin has both false alarms and missed failures, and leadership is pushing for immediate retraining. DMAIC: Define the prediction defect, Measure it, Analyze root causes, Improve the highest-leverage cause, Control the new process. The common trap is treating every prediction problem as a model problem. In twins, the defect may sit in labels, sensors, operating states, thresholds, or user workflow. Define Define the defect as: recommendations that trigger unnecessary inspection or miss a bearing failure within the 14-day action window. This turns vague disappointment into a measurable operational defect. Measure Count 18 predicted failures: 4 true positives, 9…
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