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Criterion
Paper illustration for Monte Carlo Forecasting.
Delivery
Monte Carlo Forecasting
Process Mapping method illustration showing its working structure
Operations
Process 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.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.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
1-83-103-122-6
Formatdifferent
Workshop + asyncWorkshopWorkshop + asyncWorkshop
Outputdifferent
Forecast Percentiles, Throughput Dataset, Risk CommunicationProcess Map, Handoff List, Improvement BacklogConstraint Map, Improvement Plan, Flow MetricsObservation Notes, Improvement Ideas
Tagsno overlap
ForecastingFlowDelivery
ProcessOperationsImprovement
OperationsConstraintsFlowImprovement
LeanObservationProcessOperations
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