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| Criterion |  Delivery Monte Carlo Forecasting |  Knowledge Modeling Concept Mapping |  Operations Waste Analysis |  Delivery Value Stream Mapping |
|---|---|---|---|---|
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. | 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. | 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. | 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. |
Complexitydifferent | High | Medium | Low | Medium |
Timedifferent | 30-90 min Setup, danach laufend | 1-2 h | 45-120 min | 1-3 h |
Participantsdifferent | 1-8 | 1-8 | 2-8 | 4-10 |
Formatdifferent | Workshop + async | Workshop + async | Workshop | Workshop |
Outputdifferent | Forecast Percentiles, Throughput Dataset, Risk Communication | Concept Map, Relationship Labels, Knowledge Gaps | Waste Map, Prioritized Waste, Improvement Backlog | Current-state map, Future-state map, Bottleneck list |
Tagsno overlap | ForecastingFlowDelivery | KnowledgeConceptsMappingSensemaking | WasteLeanProcess improvement | LeanFlowWasteDelivery |