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| Criterion |  Knowledge Modeling Concept Mapping |  Delivery Monte Carlo Forecasting |  Delivery Value Stream Mapping |  Operations Waste Analysis |
|---|---|---|---|---|
Purposedifferent | Concept Mapping arranges terms and relationships in a network that makes subject-matter connections tangible. It fits when a topic needs to be understood structurally rather than linearly. | 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 that keeps people busy but creates little value, the method exposes waste. It directs attention to unnecessary movement, waiting times, rework, and overdelivery. |
Complexitydifferent | Medium | High | Medium | Low |
Timedifferent | 1-2 h | 30-90 min Setup, danach laufend | 1-3 h | 45-120 min |
Participantsdifferent | 1-8 | 1-8 | 4-10 | 2-8 |
Formatdifferent | Workshop + async | Workshop + async | Workshop | Workshop |
Outputdifferent | Concept Map, Relationship Labels, Knowledge Gaps | Forecast Percentiles, Throughput Dataset, Risk Communication | Current-state map, Future-state map, Bottleneck list | Waste Map, Prioritized Waste, Improvement Backlog |
Tagsno overlap | KnowledgeConceptsMappingSensemaking | ForecastingFlowDelivery | LeanFlowWasteDelivery | WasteLeanProcess improvement |