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| Criterion |  Delivery Monte Carlo Forecasting |  Decision Making Pareto Analysis |  Operations Root Cause Analysis |  Operations Barrier 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. | In many problem situations, effect is distributed unequally across many causes. A Pareto Analysis separates the few drivers with high leverage from the long remainder and focuses attention on what measurably moves the needle. | 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. | For a risk that can only be managed through multiple layers of protection, the method examines the effectiveness of each barrier. It shows where safeguards are missing, too weak, or fail under real conditions. |
Complexitydifferent | High | Low | Medium | Medium |
Timedifferent | 30-90 min Setup, danach laufend | 30-60 min | 1-4 h | 2-4 h |
Participantsdifferent | 1-8 | 1-6 | 3-8 | 2-6 |
Formatsame | Workshop + async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Forecast Percentiles, Throughput Dataset, Risk Communication | Pareto Chart, Top Causes, Focus List | Problem Statement, Cause Hypotheses, Confirmed Causes, Action Plan | Barrier Inventory, Failure Analysis per Barrier, Action Backlog |
Tagsno overlap | ForecastingFlowDelivery | PrioritizationQualityFocusRoot cause | Root causeProblem solvingQualityIncident | Root causeSafetyIncident |