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| Criterion |  Delivery Monte Carlo Forecasting |  Operations Fishbone Diagram |  Operations Failure Mode and Effects Analysis |  Engineering Kanban |
|---|---|---|---|---|
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 a problem has several possible contributing factors, the method sorts causes by cause areas. It prevents an initial hunch from blocking the view of other plausible drivers. | 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. | When work sits in too many parallel streams, throughput suffers and no one sees the bottlenecks. Kanban makes the flow of work visible and limits overload so a system becomes calmer and more predictable. |
Complexitydifferent | High | Low | High | Medium |
Timedifferent | 30-90 min Setup, danach laufend | 30-60 min | 2-6 h | Ongoing |
Participantsdifferent | 1-8 | 2-8 | 3-10 | 2-12 |
Formatdifferent | Workshop + async | Workshop | Workshop | Workshop + async |
Outputdifferent | Forecast Percentiles, Throughput Dataset, Risk Communication | Fishbone Diagram, Cause Categories, Investigation Backlog | FMEA Table, Risk Priority, Mitigation Actions | Kanban board, WIP policies, Flow metrics |
Tagsno overlap | ForecastingFlowDelivery | Root causeQualityOperations | RiskQualityOperationsRoot cause | FlowVisual managementDelivery |