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| Criterion |  Delivery Monte Carlo Forecasting |  Operations ABC Analysis |  Operations After-Action Review |  Delivery Cost of Delay |
|---|---|---|---|---|
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 many similar objects of differing economic significance, the method prioritizes effort by effect. It separates what needs regular steering from what rarely needs attention. | After missions or project phases with unclear outcomes, the method makes visible what actually happened and what can be learned from it. It separates course, effect, and causes so experience turns into solid improvement. | 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. |
Complexitydifferent | High | Low | Low | High |
Timedifferent | 30-90 min Setup, danach laufend | 30-60 min | 20-45 min | 90-180 min |
Participantsdifferent | 1-8 | 1-5 | 3-12 | 3-8 |
Formatdifferent | Workshop + async | Async | Workshop + async | Workshop |
Outputdifferent | Forecast Percentiles, Throughput Dataset, Risk Communication | ABC Classification, Focus Rules, Control List | Lessons learned, Action items, Event summary | CoD Table, Prioritization Sequence |
Tagsno overlap | ForecastingFlowDelivery | PrioritizationOperationsPortfolio | LearningOperationsImprovement | PrioritizationDeliveryEconomicsDecision |