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| Criterion |  Operations Gemba Walk |  Delivery Monte Carlo Forecasting |  Operations Kaizen Event |  Engineering Kanban |
|---|---|---|---|---|
Purposedifferent | When there is uncertainty about the real course of a process, the method brings observation to the place where work happens. It combines perception, follow-up questions, and process knowledge so decisions rest on actual workflows instead of assumptions. | 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. | 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 | Low | High | Medium | Medium |
Timedifferent | 30-120 min | 30-90 min Setup, danach laufend | 0.5-5 Tage | Ongoing |
Participantsdifferent | 2-6 | 1-8 | 4-10 | 2-12 |
Formatdifferent | Workshop | Workshop + async | Workshop | Workshop + async |
Outputdifferent | Observation Notes, Improvement Ideas | Forecast Percentiles, Throughput Dataset, Risk Communication | Kaizen Charter, Waste List, Improvement Experiments, Standard Work Update | Kanban board, WIP policies, Flow metrics |
Tagsno overlap | LeanObservationProcessOperations | ForecastingFlowDelivery | LeanContinuous improvementOperations | FlowVisual managementDelivery |