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Criterion
Paper illustration for Theory of Constraints.
Operations
Theory of Constraints
Process Mapping method illustration showing its working structure
Operations
Process Mapping
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.With a confusing workflow that has many handoffs, the method makes the actual process visible. It shows where work is passed on, delayed, or duplicated, so improvement targets the right spots.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.
Complexitydifferent
HighMediumHigh
Timedifferent
2-4 h Analyse, laufend1-3 h30-90 min Setup, danach laufend
Participantsdifferent
3-123-101-8
Formatdifferent
Workshop + asyncWorkshopWorkshop + async
Outputdifferent
Constraint Map, Improvement Plan, Flow MetricsProcess Map, Handoff List, Improvement BacklogForecast Percentiles, Throughput Dataset, Risk Communication
Tagsno overlap
OperationsConstraintsFlowImprovement
ProcessOperationsImprovement
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
Gemba Walk workspace showing the question, observations, and next decision.
Operations
Gemba Walk