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Criterion
Paper illustration for Monte Carlo Forecasting.
Delivery
Monte Carlo Forecasting
Value Stream Mapping workspace showing the question, observations, and next decision.
Delivery
Value Stream Mapping
Paper illustration for Kaizen Event.
Operations
Kaizen Event
Paper illustration of a four-column Kanban board with limited ongoing work, a visible blocker and a review loop.
Engineering
Kanban
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 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 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 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.
Complexitydifferent
HighMediumMediumMedium
Timedifferent
30-90 min Setup, danach laufend1-3 h0.5-5 TageOngoing
Participantsdifferent
1-84-104-102-12
Formatdifferent
Workshop + asyncWorkshopWorkshopWorkshop + async
Outputdifferent
Forecast Percentiles, Throughput Dataset, Risk CommunicationCurrent-state map, Future-state map, Bottleneck listKaizen Charter, Waste List, Improvement Experiments, Standard Work UpdateKanban board, WIP policies, Flow metrics
Tagsno overlap
ForecastingFlowDelivery
LeanFlowWasteDelivery
LeanContinuous improvementOperations
FlowVisual managementDelivery
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