View methods side by side.
Choose up to four methods. Add them using the search and share the comparison by copying its link.
| Criterion |  Delivery Monte Carlo Forecasting |  Operations DMAIC |  Delivery Value Stream Mapping |  Operations Waste Analysis |
|---|---|---|---|---|
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. | 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 | High | High | Medium | Low |
Timedifferent | 30-90 min Setup, danach laufend | 2-12 Wochen | 1-3 h | 45-120 min |
Participantsdifferent | 1-8 | 3-10 | 4-10 | 2-8 |
Formatdifferent | Workshop + async | Workshop + async | Workshop | Workshop |
Outputdifferent | Forecast Percentiles, Throughput Dataset, Risk Communication | Project Charter, Measurement Plan, Cause Analysis, Control Plan | Current-state map, Future-state map, Bottleneck list | Waste Map, Prioritized Waste, Improvement Backlog |
Tagsno overlap | ForecastingFlowDelivery | Continuous improvementQualityProcess improvement | LeanFlowWasteDelivery | WasteLeanProcess improvement |