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Criterion
Paper illustration for Theory of Constraints.
Operations
Theory of Constraints
Paper illustration for Monte Carlo Forecasting.
Delivery
Monte Carlo Forecasting
Purposedifferent
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.
Complexitysame
HighHigh
Timedifferent
2-4 h Analyse, laufend30-90 min Setup, danach laufend
Participantsdifferent
3-121-8
Formatsame
Workshop + asyncWorkshop + async
Outputdifferent
Constraint Map, Improvement Plan, Flow MetricsForecast Percentiles, Throughput Dataset, Risk Communication
Tags1 shared
OperationsConstraintsFlowImprovement
ForecastingFlowDelivery
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Methods with strong topical overlap with the current selection, not yet in the comparison.

Paper illustration of a review with planned work, actual event sequence, comparison, and assigned improvement actions.
Operations
After-Action Review
Paper illustration for Bottleneck Analysis.
Operations
Bottleneck Analysis