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| Criterion |  Operations PDCA Cycle |  Delivery Monte Carlo Forecasting |  Operations A3 Problem Solving |
|---|---|---|---|
Purposedifferent | For an improvement that still has to prove itself in everyday work, the method runs it through small learning loops. It connects planning, checking, and standardization into a repeatable learning mode. | 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 complex deviation with several people involved, the method bundles problem, analysis, and decision onto one page. It creates a shared working space where causes, countermeasures, and follow-up fit together. |
Complexitydifferent | Low | High | Medium |
Timedifferent | 1 h bis mehrere Wochen | 30-90 min Setup, danach laufend | 45-90 min |
Participantsdifferent | 1-8 | 1-8 | 2-5 |
Formatsame | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | PDCA Log, Experiment Plan, Learning Outcome, Standard Change | Forecast Percentiles, Throughput Dataset, Risk Communication | A3 Report, Action Plan, Root Cause Analysis |
Tagsno overlap | Continuous improvementLeanExperiments | ForecastingFlowDelivery | LeanProblem solvingCoachingOperations |
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Methods with strong topical overlap with the current selection, not yet in the comparison.
