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| Criterion |  Engineering Failure Scenario Analysis |  Operations Bottleneck Analysis |  Delivery Value Stream Mapping |  Delivery Monte Carlo Forecasting |
|---|---|---|---|---|
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. | For a flow that backs up at one point, the method looks for the capacity limit with the greatest leverage. It explains why extra effort elsewhere barely improves throughput. | 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. | 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. |
Complexitydifferent | Medium | Medium | Medium | High |
Timedifferent | 1-3 h | 1-3 h | 1-3 h | 30-90 min Setup, danach laufend |
Participantsdifferent | 3-8 | 3-8 | 4-10 | 1-8 |
Formatdifferent | Workshop | Workshop + async | Workshop | Workshop + async |
Outputdifferent | Failure Scenarios, Risk Notes, Control Gaps, Test and Response Actions | Bottleneck Map, Flow Metrics, Improvement Options, Follow-up Measures | Current-state map, Future-state map, Bottleneck list | Forecast Percentiles, Throughput Dataset, Risk Communication |
Tagsno overlap | FailureResilienceRisk | FlowMeasurementConstraints | LeanFlowWasteDelivery | ForecastingFlowDelivery |