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| Criterion |  Delivery Monte Carlo Forecasting |  Operations ALPEN Method |  Operations Bottleneck Analysis |  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. | With an overloaded day full of too many tasks, a realistic picture of the day emerges. The method connects estimating, deciding, and buffer thinking so planning fits available energy and time. | 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 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. |
Complexitydifferent | High | Low | Medium | High |
Timedifferent | 30-90 min Setup, danach laufend | 10-20 min daily | 1-3 h | 2-4 h Analyse, laufend |
Participantsdifferent | 1-8 | 1 | 3-8 | 3-12 |
Formatdifferent | Workshop + async | Async | Workshop + async | Workshop + async |
Outputdifferent | Forecast Percentiles, Throughput Dataset, Risk Communication | Daily Plan, Time Estimates, Review Notes | Bottleneck Map, Flow Metrics, Improvement Options, Follow-up Measures | Constraint Map, Improvement Plan, Flow Metrics |
Tagsno overlap | ForecastingFlowDelivery | PlanningTime managementProductivityOperations | FlowMeasurementConstraints | OperationsConstraintsFlowImprovement |