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