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| Criterion |  Decision Making Decision Tree |  Delivery Value Stream Mapping |  Operations Bottleneck Analysis |  Delivery Monte Carlo Forecasting |
|---|---|---|---|---|
Purposedifferent | For decisions with follow-on paths and dependencies, a linear comparison is often not enough. A Decision Tree shows how options branch under conditions and which consequences hang on each branch. | 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 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. | 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 | 30-90 min | 1-3 h | 1-3 h | 30-90 min Setup, danach laufend |
Participantsdifferent | 1-6 | 4-10 | 3-8 | 1-8 |
Formatdifferent | Workshop + async | Workshop | Workshop + async | Workshop + async |
Outputdifferent | Decision Tree, Option Map, Assumption List | Current-state map, Future-state map, Bottleneck list | Bottleneck Map, Flow Metrics, Improvement Options, Follow-up Measures | Forecast Percentiles, Throughput Dataset, Risk Communication |
Tagsno overlap | DecisionTreeOptions | LeanFlowWasteDelivery | FlowMeasurementConstraints | ForecastingFlowDelivery |