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Criterion
Paper illustration for Monte Carlo Forecasting.
Delivery
Monte Carlo Forecasting
Value Stream Mapping workspace showing the question, observations, and next decision.
Delivery
Value Stream Mapping
Paper illustration for Theory of Constraints.
Operations
Theory of Constraints
Gemba Walk workspace showing the question, observations, and next decision.
Operations
Gemba Walk
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.When delivery work dissolves into wait times, handoffs, and hidden effort, Value Stream Mapping makes the actual flow visible. The method exposes bottlenecks, idle time, and feedback loops so lead time and improvement levers become tangible.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.When there is uncertainty about the real course of a process, the method brings observation to the place where work happens. It combines perception, follow-up questions, and process knowledge so decisions rest on actual workflows instead of assumptions.
Complexitydifferent
HighMediumHighLow
Timedifferent
30-90 min Setup, danach laufend1-3 h2-4 h Analyse, laufend30-120 min
Participantsdifferent
1-84-103-122-6
Formatdifferent
Workshop + asyncWorkshopWorkshop + asyncWorkshop
Outputdifferent
Forecast Percentiles, Throughput Dataset, Risk CommunicationCurrent-state map, Future-state map, Bottleneck listConstraint Map, Improvement Plan, Flow MetricsObservation Notes, Improvement Ideas
Tagsno overlap
ForecastingFlowDelivery
LeanFlowWasteDelivery
OperationsConstraintsFlowImprovement
LeanObservationProcessOperations
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