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Criterion
Paper illustration for Bottleneck Analysis.
Operations
Bottleneck Analysis
Paper illustration for Theory of Constraints.
Operations
Theory of Constraints
Paper illustration for Monte Carlo Forecasting.
Delivery
Monte Carlo Forecasting
Paper illustration of a review with planned work, actual event sequence, comparison, and assigned improvement actions.
Operations
After-Action Review
Purposedifferent
For a flow that backs up at one point, the method looks for the capacity limit with the greatest leverage. It explains why extra effort elsewhere barely improves throughput.For a system that does not get faster despite effort, the method directs attention to the bottleneck. It concentrates improvement on the point that actually limits throughput.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.After missions or project phases with unclear outcomes, the method makes visible what actually happened and what can be learned from it. It separates course, effect, and causes so experience turns into solid improvement.
Complexitydifferent
MediumHighHighLow
Timedifferent
1-3 h2-4 h Analyse, laufend30-90 min Setup, danach laufend20-45 min
Participantsdifferent
3-83-121-83-12
Formatsame
Workshop + asyncWorkshop + asyncWorkshop + asyncWorkshop + async
Outputdifferent
Bottleneck Map, Flow Metrics, Improvement Options, Follow-up MeasuresConstraint Map, Improvement Plan, Flow MetricsForecast Percentiles, Throughput Dataset, Risk CommunicationLessons learned, Action items, Event summary
Tagsno overlap
FlowMeasurementConstraints
OperationsConstraintsFlowImprovement
ForecastingFlowDelivery
LearningOperationsImprovement
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