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| Criterion |  Engineering Failure Scenario Analysis |  Delivery Monte Carlo Forecasting |  Delivery Value Stream Mapping |  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. | When delivery work dissolves into wait times, handoffs, and hidden effort, Value Stream Mapping makes the actual flow visible. The method exposes bottlenecks, idle time, and feedback loops so lead time and improvement levers become tangible. | 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 | Medium | Low |
Timedifferent | 1-3 h | 30-90 min Setup, danach laufend | 1-3 h | 45-120 min |
Participantsdifferent | 3-8 | 1-8 | 4-10 | 2-8 |
Formatdifferent | Workshop | Workshop + async | Workshop | Workshop |
Outputdifferent | Failure Scenarios, Risk Notes, Control Gaps, Test and Response Actions | Forecast Percentiles, Throughput Dataset, Risk Communication | Current-state map, Future-state map, Bottleneck list | Waste Map, Prioritized Waste, Improvement Backlog |
Tagsno overlap | FailureResilienceRisk | ForecastingFlowDelivery | LeanFlowWasteDelivery | WasteLeanProcess improvement |