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| Criterion |  Delivery Monte Carlo Forecasting |  Delivery Value Stream Mapping |  Operations Failure Mode and Effects Analysis |  Operations 5 Whys |
|---|---|---|---|---|
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. | For a process, product, or service with noticeable failure risks, the method assesses possible failure modes in advance. It directs attention to combinations of occurrence, effect, and detectability. | For a single, hard-to-explain deviation, the method exposes the causal chain behind the visible symptom. It keeps the cause open until a controllable condition emerges instead of a mere description. |
Complexitydifferent | High | Medium | High | Low |
Timedifferent | 30-90 min Setup, danach laufend | 1-3 h | 2-6 h | 15-30 min |
Participantsdifferent | 1-8 | 4-10 | 3-10 | 2-6 |
Formatdifferent | Workshop + async | Workshop | Workshop | Workshop |
Outputdifferent | Forecast Percentiles, Throughput Dataset, Risk Communication | Current-state map, Future-state map, Bottleneck list | FMEA Table, Risk Priority, Mitigation Actions | Root cause notes, Countermeasures |
Tagsno overlap | ForecastingFlowDelivery | LeanFlowWasteDelivery | RiskQualityOperationsRoot cause | Root causeIncidentLeanProblem solving |