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Criterion
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
Paper illustration for Constraint Analysis.
Decision Making
Constraint Analysis
Purposedifferent
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.When an initiative stalls, the limit often lies not in the idea but in hard or soft boundary conditions. Constraint Analysis separates these limits and shows which of them can actually be shaped.
Complexitydifferent
HighHighMediumLow
Timedifferent
30-90 min Setup, danach laufend90-180 min1-3 h30-90 min
Participantsdifferent
1-83-83-82-8
Formatdifferent
Workshop + asyncWorkshopWorkshop + asyncWorkshop + async
Outputdifferent
Forecast Percentiles, Throughput Dataset, Risk CommunicationCoD Table, Prioritization SequenceBottleneck Map, Flow Metrics, Improvement Options, Follow-up MeasuresConstraint List, Hard/Soft Classification, Option Impact Notes, Decision Boundaries
Tagsno overlap
ForecastingFlowDelivery
PrioritizationDeliveryEconomicsDecision
FlowMeasurementConstraints
ConstraintsDecisionPlanningOptions
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