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Selected:Monte Carlo ForecastingFishbone DiagramFailure Mode and Effects AnalysisFault Tree Analysis
| Criterion |  Delivery Monte Carlo Forecasting |  Operations Fishbone Diagram |  Operations Failure Mode and Effects Analysis |  Operations Fault Tree 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. | When a problem has several possible contributing factors, the method sorts causes by cause areas. It prevents an initial hunch from blocking the view of other plausible drivers. | For a process, product, or service with noticeable failure risks, the method assesses possible failure modes in advance. It directs attention to combinations of occurrence, effect, and detectability. | For a critical top event with several possible triggers, the method logically models failure paths. It makes visible which combinations of conditions can lead to damage. |
Complexitydifferent | High | Low | High | High |
Timedifferent | 30-90 min Setup, danach laufend | 30-60 min | 2-6 h | 2-6 h |
Participantsdifferent | 1-8 | 2-8 | 3-10 | 3-8 |
Formatdifferent | Workshop + async | Workshop | Workshop | Workshop + async |
Outputdifferent | Forecast Percentiles, Throughput Dataset, Risk Communication | Fishbone Diagram, Cause Categories, Investigation Backlog | FMEA Table, Risk Priority, Mitigation Actions | Fault Tree, Critical Paths, Cause Hypotheses, Control Actions |
Tagsno overlap | ForecastingFlowDelivery | Root causeQualityOperations | RiskQualityOperationsRoot cause | RiskRoot causeSafety |