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Selected:Monte Carlo ForecastingFailure Mode and Effects AnalysisValue Stream Mapping8D Problem Solving
| Criterion |  Delivery Monte Carlo Forecasting |  Operations Failure Mode and Effects Analysis |  Delivery Value Stream Mapping |  Operations 8D Problem Solving |
|---|---|---|---|---|
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, product, or service with noticeable failure risks, the method assesses possible failure modes in advance. It directs attention to combinations of occurrence, effect, and detectability. | 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 an acute quality or delivery problem, the method structures immediate protection and root cause work together. It keeps the situation stable while the actual cause is investigated cleanly. |
Complexitydifferent | High | High | Medium | High |
Timedifferent | 30-90 min Setup, danach laufend | 2-6 h | 1-3 h | 1-6 Wochen |
Participantsdifferent | 1-8 | 3-10 | 4-10 | 4-10 |
Formatdifferent | Workshop + async | Workshop | Workshop | Workshop + async |
Outputdifferent | Forecast Percentiles, Throughput Dataset, Risk Communication | FMEA Table, Risk Priority, Mitigation Actions | Current-state map, Future-state map, Bottleneck list | 8D Report, Containment Plan, Root Cause Evidence, Corrective Action Plan |
Tagsno overlap | ForecastingFlowDelivery | RiskQualityOperationsRoot cause | LeanFlowWasteDelivery | QualityProblem solvingRoot cause |