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Criterion
Paper illustration of a four-column Kanban board with limited ongoing work, a visible blocker and a review loop.
Engineering
Kanban
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
Purposedifferent
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.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.
Complexitydifferent
MediumHighMediumHigh
Timedifferent
Ongoing30-90 min Setup, danach laufend1-3 h2-4 h Analyse, laufend
Participantsdifferent
2-121-83-103-12
Formatdifferent
Workshop + asyncWorkshop + asyncWorkshopWorkshop + async
Outputdifferent
Kanban board, WIP policies, Flow metricsForecast Percentiles, Throughput Dataset, Risk CommunicationProcess Map, Handoff List, Improvement BacklogConstraint Map, Improvement Plan, Flow Metrics
Tagsno overlap
FlowVisual managementDelivery
ForecastingFlowDelivery
ProcessOperationsImprovement
OperationsConstraintsFlowImprovement
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