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| Criterion |  Engineering Failure Scenario Analysis |  Delivery Monte Carlo Forecasting |  Operations Waste Analysis |  Delivery Value Stream Mapping |
|---|---|---|---|---|
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. | 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. |
Complexitydifferent | Medium | High | Low | Medium |
Timedifferent | 1-3 h | 30-90 min Setup, danach laufend | 45-120 min | 1-3 h |
Participantsdifferent | 3-8 | 1-8 | 2-8 | 4-10 |
Formatdifferent | Workshop | Workshop + async | Workshop | Workshop |
Outputdifferent | Failure Scenarios, Risk Notes, Control Gaps, Test and Response Actions | Forecast Percentiles, Throughput Dataset, Risk Communication | Waste Map, Prioritized Waste, Improvement Backlog | Current-state map, Future-state map, Bottleneck list |
Tagsno overlap | FailureResilienceRisk | ForecastingFlowDelivery | WasteLeanProcess improvement | LeanFlowWasteDelivery |