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| Criterion |  Delivery Monte Carlo Forecasting |  Delivery Value Stream Mapping |  Operations Root Cause 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. | When delivery work dissolves into wait times, handoffs, and hidden effort, Value Stream Mapping makes the actual flow visible. The method exposes bottlenecks, idle time, and feedback loops so lead time and improvement levers become tangible. | When a problem keeps recurring and the cause stays unclear, the method exposes the underlying mechanism. It separates symptom, guess, and robust explanation from one another. |
Complexitydifferent | High | Medium | Medium |
Timedifferent | 30-90 min Setup, danach laufend | 1-3 h | 1-4 h |
Participantsdifferent | 1-8 | 4-10 | 3-8 |
Formatdifferent | Workshop + async | Workshop | Workshop + async |
Outputdifferent | Forecast Percentiles, Throughput Dataset, Risk Communication | Current-state map, Future-state map, Bottleneck list | Problem Statement, Cause Hypotheses, Confirmed Causes, Action Plan |
Tagsno overlap | ForecastingFlowDelivery | LeanFlowWasteDelivery | Root causeProblem solvingQualityIncident |
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