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| Criterion |  Delivery Monte Carlo Forecasting |  Operations Theory of Constraints |
|---|---|---|
Purposedifferent | 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 system that does not get faster despite effort, the method directs attention to the bottleneck. It concentrates improvement on the point that actually limits throughput. |
Complexitysame | High | High |
Timedifferent | 30-90 min Setup, danach laufend | 2-4 h Analyse, laufend |
Participantsdifferent | 1-8 | 3-12 |
Formatsame | Workshop + async | Workshop + async |
Outputdifferent | Forecast Percentiles, Throughput Dataset, Risk Communication | Constraint Map, Improvement Plan, Flow Metrics |
Tags1 shared | ForecastingFlowDelivery | OperationsConstraintsFlowImprovement |
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Methods with strong topical overlap with the current selection, not yet in the comparison.
