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Criterion
Visual Management workspace showing the question, observations, and next decision.
Operations
Visual Management
Paper illustration for Monte Carlo Forecasting.
Delivery
Monte Carlo Forecasting
Paper illustration for Theory of Constraints.
Operations
Theory of Constraints
Paper illustration for Bottleneck Analysis.
Operations
Bottleneck Analysis
Purposedifferent
With high tempo and many parallel topics, the method makes status, deviations, and priorities visible at a glance. It reduces search effort and prevents what matters from getting lost in daily work.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 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.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.
Complexitydifferent
LowHighHighMedium
Timedifferent
Ongoing30-90 min Setup, danach laufend2-4 h Analyse, laufend1-3 h
Participantsdifferent
1-201-83-123-8
Formatsame
Workshop + asyncWorkshop + asyncWorkshop + asyncWorkshop + async
Outputdifferent
Visual Board, Status Indicators, Exception CuesForecast Percentiles, Throughput Dataset, Risk CommunicationConstraint Map, Improvement Plan, Flow MetricsBottleneck Map, Flow Metrics, Improvement Options, Follow-up Measures
Tagsno overlap
SignalsOperationsVisual management
ForecastingFlowDelivery
OperationsConstraintsFlowImprovement
FlowMeasurementConstraints
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