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| Criterion |  Delivery Monte Carlo Forecasting |  Operations ABC Analysis |  Operations 8D Problem Solving |  Decision Making Pareto 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. | With many similar objects of differing economic significance, the method prioritizes effort by effect. It separates what needs regular steering from what rarely needs attention. | 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. | In many problem situations, effect is distributed unequally across many causes. A Pareto Analysis separates the few drivers with high leverage from the long remainder and focuses attention on what measurably moves the needle. |
Complexitydifferent | High | Low | High | Low |
Timedifferent | 30-90 min Setup, danach laufend | 30-60 min | 1-6 Wochen | 30-60 min |
Participantsdifferent | 1-8 | 1-5 | 4-10 | 1-6 |
Formatdifferent | Workshop + async | Async | Workshop + async | Workshop + async |
Outputdifferent | Forecast Percentiles, Throughput Dataset, Risk Communication | ABC Classification, Focus Rules, Control List | 8D Report, Containment Plan, Root Cause Evidence, Corrective Action Plan | Pareto Chart, Top Causes, Focus List |
Tagsno overlap | ForecastingFlowDelivery | PrioritizationOperationsPortfolio | QualityProblem solvingRoot cause | PrioritizationQualityFocusRoot cause |