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| Criterion |  Delivery Monte Carlo Forecasting |  Operations DMAIC |  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. | 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. | 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 | High | Low | Medium |
Timedifferent | 30-90 min Setup, danach laufend | 2-12 Wochen | 45-120 min | 1-3 h |
Participantsdifferent | 1-8 | 3-10 | 2-8 | 4-10 |
Formatdifferent | Workshop + async | Workshop + async | Workshop | Workshop |
Outputdifferent | Forecast Percentiles, Throughput Dataset, Risk Communication | Project Charter, Measurement Plan, Cause Analysis, Control Plan | Waste Map, Prioritized Waste, Improvement Backlog | Current-state map, Future-state map, Bottleneck list |
Tagsno overlap | ForecastingFlowDelivery | Continuous improvementQualityProcess improvement | WasteLeanProcess improvement | LeanFlowWasteDelivery |