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Criterion
Paper illustration for Bottleneck Analysis.
Operations
Bottleneck Analysis
Process Mapping method illustration showing its working structure
Operations
Process Mapping
Paper illustration for Monte Carlo Forecasting.
Delivery
Monte Carlo Forecasting
Paper illustration of a review with planned work, actual event sequence, comparison, and assigned improvement actions.
Operations
After-Action Review
Purposedifferent
For a flow that backs up at one point, the method looks for the capacity limit with the greatest leverage. It explains why extra effort elsewhere barely improves throughput.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.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.After missions or project phases with unclear outcomes, the method makes visible what actually happened and what can be learned from it. It separates course, effect, and causes so experience turns into solid improvement.
Complexitydifferent
MediumMediumHighLow
Timedifferent
1-3 h1-3 h30-90 min Setup, danach laufend20-45 min
Participantsdifferent
3-83-101-83-12
Formatdifferent
Workshop + asyncWorkshopWorkshop + asyncWorkshop + async
Outputdifferent
Bottleneck Map, Flow Metrics, Improvement Options, Follow-up MeasuresProcess Map, Handoff List, Improvement BacklogForecast Percentiles, Throughput Dataset, Risk CommunicationLessons learned, Action items, Event summary
Tagsno overlap
FlowMeasurementConstraints
ProcessOperationsImprovement
ForecastingFlowDelivery
LearningOperationsImprovement
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