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Criterion
Paper illustration for Waste Analysis.
Operations
Waste Analysis
Paper illustration for Monte Carlo Forecasting.
Delivery
Monte Carlo Forecasting
Paper illustration for Dot Estimation.
Facilitation
Dot Estimation
Value Stream Mapping workspace showing the question, observations, and next decision.
Delivery
Value Stream Mapping
Purposedifferent
For a process that keeps people busy but creates little value, the method exposes waste. It directs attention to unnecessary movement, waiting times, rework, and overdelivery.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 size or effort can only be estimated roughly, Dot Estimation condenses the group's experience into a quick range. It turns individual contributions into a visible selection. The result is captured as an Effort Heatmap, Risk Signals, and Discussion Targets.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
LowHighLowMedium
Timedifferent
45-120 min30-90 min Setup, danach laufend5-20 min1-3 h
Participantsdifferent
2-81-83-204-10
Formatdifferent
WorkshopWorkshop + asyncWorkshopWorkshop
Outputdifferent
Waste Map, Prioritized Waste, Improvement BacklogForecast Percentiles, Throughput Dataset, Risk CommunicationEffort Heatmap, Risk Signals, Discussion TargetsCurrent-state map, Future-state map, Bottleneck list
Tagsno overlap
WasteLeanProcess improvement
ForecastingFlowDelivery
EstimationEffortRisk
LeanFlowWasteDelivery
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