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Criterion
Decision Tree method illustration showing its working structure
Decision Making
Decision Tree
Paper illustration for Bottleneck Analysis.
Operations
Bottleneck Analysis
Gemba Walk workspace showing the question, observations, and next decision.
Operations
Gemba Walk
Paper illustration for Kaizen Event.
Operations
Kaizen Event
Purposedifferent
For decisions with follow-on paths and dependencies, a linear comparison is often not enough. A Decision Tree shows how options branch under conditions and which consequences hang on each branch.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.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.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.
Complexitydifferent
MediumMediumLowMedium
Timedifferent
30-90 min1-3 h30-120 min0.5-5 Tage
Participantsdifferent
1-63-82-64-10
Formatdifferent
Workshop + asyncWorkshop + asyncWorkshopWorkshop
Outputdifferent
Decision Tree, Option Map, Assumption ListBottleneck Map, Flow Metrics, Improvement Options, Follow-up MeasuresObservation Notes, Improvement IdeasKaizen Charter, Waste List, Improvement Experiments, Standard Work Update
Tagsno overlap
DecisionTreeOptions
FlowMeasurementConstraints
LeanObservationProcessOperations
LeanContinuous improvementOperations
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