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| Criterion |  Delivery Monte Carlo Forecasting |  Operations Kaizen Event |  Operations DMAIC |  Operations Fishbone Diagram |
|---|---|---|---|---|
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. | For a tightly scoped process segment with noticeable waste, the method bundles shared energy for change. It suits situations that call for fast learning loops and visible adjustments. | For a process problem with fluctuating performance, the method brings analysis and improvement into a disciplined sequence. It creates a framework in which numbers, causes, and control come together. | 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. |
Complexitydifferent | High | Medium | High | Low |
Timedifferent | 30-90 min Setup, danach laufend | 0.5-5 Tage | 2-12 Wochen | 30-60 min |
Participantsdifferent | 1-8 | 4-10 | 3-10 | 2-8 |
Formatdifferent | Workshop + async | Workshop | Workshop + async | Workshop |
Outputdifferent | Forecast Percentiles, Throughput Dataset, Risk Communication | Kaizen Charter, Waste List, Improvement Experiments, Standard Work Update | Project Charter, Measurement Plan, Cause Analysis, Control Plan | Fishbone Diagram, Cause Categories, Investigation Backlog |
Tagsno overlap | ForecastingFlowDelivery | LeanContinuous improvementOperations | Continuous improvementQualityProcess improvement | Root causeQualityOperations |