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| Criterion |  Operations Bottleneck Analysis |  Delivery Monte Carlo Forecasting |  Delivery Cost of Delay |  Decision Making Constraint Analysis |
|---|---|---|---|---|
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. | 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. | Helps clarify scope, order, and delivery flow in concrete terms. It makes work, constraints, and sequence manageable. The result is captured as a Cost of Delay table and prioritization sequence. | When an initiative stalls, the limit often lies not in the idea but in hard or soft boundary conditions. Constraint Analysis separates these limits and shows which of them can actually be shaped. |
Complexitydifferent | Medium | High | High | Low |
Timedifferent | 1-3 h | 30-90 min Setup, danach laufend | 90-180 min | 30-90 min |
Participantsdifferent | 3-8 | 1-8 | 3-8 | 2-8 |
Formatdifferent | Workshop + async | Workshop + async | Workshop | Workshop + async |
Outputdifferent | Bottleneck Map, Flow Metrics, Improvement Options, Follow-up Measures | Forecast Percentiles, Throughput Dataset, Risk Communication | CoD Table, Prioritization Sequence | Constraint List, Hard/Soft Classification, Option Impact Notes, Decision Boundaries |
Tagsno overlap | FlowMeasurementConstraints | ForecastingFlowDelivery | PrioritizationDeliveryEconomicsDecision | ConstraintsDecisionPlanningOptions |