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Criterion
Paper illustration for Theory of Constraints.
Operations
Theory of Constraints
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
Purposedifferent
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 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.
Complexitydifferent
HighMediumHighMedium
Timedifferent
2-4 h Analyse, laufendOngoing30-90 min Setup, danach laufend1-3 h
Participantsdifferent
3-122-121-83-10
Formatdifferent
Workshop + asyncWorkshop + asyncWorkshop + asyncWorkshop
Outputdifferent
Constraint Map, Improvement Plan, Flow MetricsKanban board, WIP policies, Flow metricsForecast Percentiles, Throughput Dataset, Risk CommunicationProcess Map, Handoff List, Improvement Backlog
Tagsno overlap
OperationsConstraintsFlowImprovement
FlowVisual managementDelivery
ForecastingFlowDelivery
ProcessOperationsImprovement
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