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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 Kaizen Event.
Operations
Kaizen Event
Value Stream Mapping workspace showing the question, observations, and next decision.
Delivery
Value Stream 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 tightly scoped process segment with noticeable waste, the method bundles shared energy for change. It suits situations that call for fast learning loops and visible adjustments.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.
Complexitydifferent
HighMediumMediumMedium
Timedifferent
30-90 min Setup, danach laufendOngoing0.5-5 Tage1-3 h
Participantsdifferent
1-82-124-104-10
Formatdifferent
Workshop + asyncWorkshop + asyncWorkshopWorkshop
Outputdifferent
Forecast Percentiles, Throughput Dataset, Risk CommunicationKanban board, WIP policies, Flow metricsKaizen Charter, Waste List, Improvement Experiments, Standard Work UpdateCurrent-state map, Future-state map, Bottleneck list
Tagsno overlap
ForecastingFlowDelivery
FlowVisual managementDelivery
LeanContinuous improvementOperations
LeanFlowWasteDelivery
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