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Selected:Monte Carlo ForecastingFault Tree Analysis8D Problem SolvingFailure Mode and Effects Analysis
| Criterion |  Delivery Monte Carlo Forecasting |  Operations Fault Tree Analysis |  Operations 8D Problem Solving |  Operations Failure Mode and Effects 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 critical top event with several possible triggers, the method logically models failure paths. It makes visible which combinations of conditions can lead to damage. | For an acute quality or delivery problem, the method structures immediate protection and root cause work together. It keeps the situation stable while the actual cause is investigated cleanly. | 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. |
Complexitysame | High | High | High | High |
Timedifferent | 30-90 min Setup, danach laufend | 2-6 h | 1-6 Wochen | 2-6 h |
Participantsdifferent | 1-8 | 3-8 | 4-10 | 3-10 |
Formatdifferent | Workshop + async | Workshop + async | Workshop + async | Workshop |
Outputdifferent | Forecast Percentiles, Throughput Dataset, Risk Communication | Fault Tree, Critical Paths, Cause Hypotheses, Control Actions | 8D Report, Containment Plan, Root Cause Evidence, Corrective Action Plan | FMEA Table, Risk Priority, Mitigation Actions |
Tagsno overlap | ForecastingFlowDelivery | RiskRoot causeSafety | QualityProblem solvingRoot cause | RiskQualityOperationsRoot cause |