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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
Paper illustration of Cost of Delay with its method-specific working model.
Delivery
Cost of Delay
Paper illustration for Bottleneck Analysis.
Operations
Bottleneck Analysis
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.Helps clarify scope, order, and delivery flow in concrete terms. It makes work, constraints, and sequence manageable. The result is captured as a Cost of Delay table and prioritization sequence.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
HighHighHighMedium
Timedifferent
2-4 h Analyse, laufend30-90 min Setup, danach laufend90-180 min1-3 h
Participantsdifferent
3-121-83-83-8
Formatdifferent
Workshop + asyncWorkshop + asyncWorkshopWorkshop + async
Outputdifferent
Constraint Map, Improvement Plan, Flow MetricsForecast Percentiles, Throughput Dataset, Risk CommunicationCoD Table, Prioritization SequenceBottleneck Map, Flow Metrics, Improvement Options, Follow-up Measures
Tagsno overlap
OperationsConstraintsFlowImprovement
ForecastingFlowDelivery
PrioritizationDeliveryEconomicsDecision
FlowMeasurementConstraints
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