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| Criterion |  Operations Bottleneck Analysis |  Decision Making Decision Tree |  Delivery Monte Carlo Forecasting |  Decision Making Delphi Method |
|---|---|---|---|---|
Purposedifferent | 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. | 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. | 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 knowledge is distributed and direct dominance should be avoided, groups quickly fall under the sway of their opinion leaders. The Delphi Method gathers assessments iteratively and gradually brings expert judgments closer together. |
Complexitydifferent | Medium | Medium | High | High |
Timedifferent | 1-3 h | 30-90 min | 30-90 min Setup, danach laufend | 1-4 Wochen |
Participantsdifferent | 3-8 | 1-6 | 1-8 | 6-30 Experten |
Formatdifferent | Workshop + async | Workshop + async | Workshop + async | Async |
Outputdifferent | Bottleneck Map, Flow Metrics, Improvement Options, Follow-up Measures | Decision Tree, Option Map, Assumption List | Forecast Percentiles, Throughput Dataset, Risk Communication | Expert Forecast, Consensus Range, Assumption Notes |
Tagsno overlap | FlowMeasurementConstraints | DecisionTreeOptions | ForecastingFlowDelivery | ForecastingExpertsDecisionStrategy |