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| Criterion |  Delivery Monte Carlo Forecasting |  Operations ALPEN Method |  Operations Bottleneck Analysis |  Decision Making Constraint Analysis |
|---|---|---|---|---|
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. | 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 | High | Low | Medium | Low |
Timedifferent | 30-90 min Setup, danach laufend | 10-20 min daily | 1-3 h | 30-90 min |
Participantsdifferent | 1-8 | 1 | 3-8 | 2-8 |
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 List, Hard/Soft Classification, Option Impact Notes, Decision Boundaries |
Tagsno overlap | ForecastingFlowDelivery | PlanningTime managementProductivityOperations | FlowMeasurementConstraints | ConstraintsDecisionPlanningOptions |