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| Criterion |  Delivery Monte Carlo Forecasting |  Operations MORT Analysis |  Operations Root Cause Analysis |
|---|---|---|---|
Purposedifferent | Helps clarify scope, sequence, and delivery flow in concrete terms. It makes work, boundaries, and order steerable. The result is captured as Forecast Percentiles, Throughput Dataset, and Risk Communication. | For a safety-relevant event or a system with high protection requirements, the method examines where controls failed. It exposes both technical and organizational gaps. | When a problem keeps recurring and the cause stays unclear, the method exposes the underlying mechanism. It separates symptom, guess, and robust explanation from one another. |
Complexitydifferent | High | High | Medium |
Timedifferent | 30-90 min Setup, danach laufend | Mehrere Tage bis Wochen | 1-4 h |
Participantsdifferent | 1-8 | 2-6 | 3-8 |
Formatsame | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Forecast Percentiles, Throughput Dataset, Risk Communication | MORT Worksheets, Findings per Branch, Corrective Actions, Systemic Recommendations | Problem Statement, Cause Hypotheses, Confirmed Causes, Action Plan |
Tagsno overlap | ForecastingFlowDelivery | Root causeSafetySystemicIncident | Root causeProblem solvingQualityIncident |
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