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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
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
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.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.
Complexitydifferent
HighMediumMediumHigh
Timedifferent
30-90 min Setup, danach laufend1-3 h1-3 h2-4 h Analyse, laufend
Participantsdifferent
1-83-104-103-12
Formatdifferent
Workshop + asyncWorkshopWorkshopWorkshop + async
Outputdifferent
Forecast Percentiles, Throughput Dataset, Risk CommunicationProcess Map, Handoff List, Improvement BacklogCurrent-state map, Future-state map, Bottleneck listConstraint Map, Improvement Plan, Flow Metrics
Tagsno overlap
ForecastingFlowDelivery
ProcessOperationsImprovement
LeanFlowWasteDelivery
OperationsConstraintsFlowImprovement
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