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| Criterion |  Operations DMAIC |  Delivery Monte Carlo Forecasting |  Operations Root Cause Analysis |  Operations Barrier Analysis |
|---|---|---|---|---|
Purposedifferent | 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 a problem keeps recurring and the cause stays unclear, the method exposes the underlying mechanism. It separates symptom, guess, and robust explanation from one another. | For a risk that can only be managed through multiple layers of protection, the method examines the effectiveness of each barrier. It shows where safeguards are missing, too weak, or fail under real conditions. |
Complexitydifferent | High | High | Medium | Medium |
Timedifferent | 2-12 Wochen | 30-90 min Setup, danach laufend | 1-4 h | 2-4 h |
Participantsdifferent | 3-10 | 1-8 | 3-8 | 2-6 |
Formatsame | Workshop + async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Project Charter, Measurement Plan, Cause Analysis, Control Plan | Forecast Percentiles, Throughput Dataset, Risk Communication | Problem Statement, Cause Hypotheses, Confirmed Causes, Action Plan | Barrier Inventory, Failure Analysis per Barrier, Action Backlog |
Tagsno overlap | Continuous improvementQualityProcess improvement | ForecastingFlowDelivery | Root causeProblem solvingQualityIncident | Root causeSafetyIncident |