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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
Gemba Walk workspace showing the question, observations, and next decision.
Operations
Gemba Walk
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.When there is uncertainty about the real course of a process, the method brings observation to the place where work happens. It combines perception, follow-up questions, and process knowledge so decisions rest on actual workflows instead of assumptions.
Complexitydifferent
MediumMediumHighLow
Timedifferent
1-3 h1-3 h30-90 min Setup, danach laufend30-120 min
Participantsdifferent
3-83-101-82-6
Formatdifferent
Workshop + asyncWorkshopWorkshop + asyncWorkshop
Outputdifferent
Bottleneck Map, Flow Metrics, Improvement Options, Follow-up MeasuresProcess Map, Handoff List, Improvement BacklogForecast Percentiles, Throughput Dataset, Risk CommunicationObservation Notes, Improvement Ideas
Tagsno overlap
FlowMeasurementConstraints
ProcessOperationsImprovement
ForecastingFlowDelivery
LeanObservationProcessOperations
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