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Criterion
Paper illustration for Monte Carlo Forecasting.
Delivery
Monte Carlo Forecasting
Paper illustration of a four-column Kanban board with limited ongoing work, a visible blocker and a review loop.
Engineering
Kanban
Paper illustration for Theory of Constraints.
Operations
Theory of Constraints
Process Mapping method illustration showing its working structure
Operations
Process Mapping
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 work sits in too many parallel streams, throughput suffers and no one sees the bottlenecks. Kanban makes the flow of work visible and limits overload so a system becomes calmer and more predictable.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.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.
Complexitydifferent
HighMediumHighMedium
Timedifferent
30-90 min Setup, danach laufendOngoing2-4 h Analyse, laufend1-3 h
Participantsdifferent
1-82-123-123-10
Formatdifferent
Workshop + asyncWorkshop + asyncWorkshop + asyncWorkshop
Outputdifferent
Forecast Percentiles, Throughput Dataset, Risk CommunicationKanban board, WIP policies, Flow metricsConstraint Map, Improvement Plan, Flow MetricsProcess Map, Handoff List, Improvement Backlog
Tagsno overlap
ForecastingFlowDelivery
FlowVisual managementDelivery
OperationsConstraintsFlowImprovement
ProcessOperationsImprovement
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