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| Criterion |  Engineering Failure Scenario Analysis |  Delivery Monte Carlo Forecasting |  Operations Waste Analysis |
|---|---|---|---|
Purposedifferent | In critical processes, it is not enough to plan only for the normal case. Failure Scenario Analysis looks at the path into failure and shows which failures, chains, and control gaps cause the most damage. | 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 process that keeps people busy but creates little value, the method exposes waste. It directs attention to unnecessary movement, waiting times, rework, and overdelivery. |
Complexitydifferent | Medium | High | Low |
Timedifferent | 1-3 h | 30-90 min Setup, danach laufend | 45-120 min |
Participantsdifferent | 3-8 | 1-8 | 2-8 |
Formatdifferent | Workshop | Workshop + async | Workshop |
Outputdifferent | Failure Scenarios, Risk Notes, Control Gaps, Test and Response Actions | Forecast Percentiles, Throughput Dataset, Risk Communication | Waste Map, Prioritized Waste, Improvement Backlog |
Tagsno overlap | FailureResilienceRisk | ForecastingFlowDelivery | WasteLeanProcess improvement |
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